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Fears of artificial intelligence overblown – Independent Australia

While AI is still a developing technology and not without its limitations, a robotic world domination is far from something we need to fear, writes Bappa Sinha.

THE UNPRECIDENTED popularity of ChatGPT has turbocharged the artificial intelligence (AI) hype machine. We are being bombarded daily by news articles announcing AI as humankinds greatest invention. AI is qualitatively different, transformational, revolutionary and will change everything, they say.

OpenAI, the company behind ChatGPT, announced a major upgrade of the technology behind ChatGPT called GPT4. Already, Microsoft researchers are claiming that GPT4 shows sparks of artificial general intelligence or human-like intelligence the holy grail of AI research. Fantastic claims are made about reaching the point of AI Singularity, of machines equalling and surpassing human intelligence.

The business press talks about hundreds of millions of job losses as AI would replace humans in a whole host of professions. Others worry about a sci-fi-like near future where super-intelligent AI goes rogue and destroys or enslaves humankind. Are these predictions grounded in reality, or is this just over-the-board hype that the tech industry and the venture capitalist hype machine are so good at selling?

The current breed of AI models are based on things called neural networks. While the term neural conjures up images of an artificial brain simulated using computer chips, the reality of AI is that neural networks are nothing like how the human brain actually works. These so-called neural networks have no similarity with the network of neurons in the brain. This terminology was, however, a major reason for the artificial neural networks to become popular and widely adopted despite its serious limitations and flaws.

Machine learning algorithms currently used are an extension of statistical methods that lack theoretical justification for extending them this way. Traditional statistical methods have the virtue of simplicity. It is easy to understand what they do, when and why they work. They come with mathematical assurances that the results of their analysis are meaningful, assuming very specific conditions.

Since the real world is complicated, those conditions never hold. As a result, statistical predictions are seldom accurate. Economists, epidemiologists and statisticians acknowledge this, then use intuition to apply statistics to get approximate guidance for specific purposes in specific contexts.

These caveats are often overlooked, leading to the misuse of traditional statistical methods. These sometimes have catastrophic consequences, as in the 2008 Global Financial Crisis or the Long-Term Capital Management blowup in 1998, which almost brought down the global financial system. Remember Mark Twains famous quote: Lies, damned lies and statistics.

Machine learning relies on the complete abandonment of the caution which should be associated with the judicious use of statistical methods. The real world is messy and chaotic, hence impossible to model using traditional statistical methods. So the answer from the world of AI is to drop any pretence at theoretical justification on why and how these AI models, which are many orders of magnitude more complicated than traditional statistical methods, should work.

Freedom from these principled constraints makes the AI model more powerful. They are effectively elaborate and complicated curve-fitting exercises which empirically fit observed data without us understanding the underlying relationships.

But its also true that these AI models can sometimes do things that no other technology can do at all. Some outputs are astonishing, such as the passages ChatGPT can generate or the images that DALL-E can create. This is fantastic at wowing people and creating hype. The reason they work so well is the mind-boggling quantities of training data enough to cover almost all text and images created by humans.

Even with this scale of training data and billions of parameters, the AI models dont work spontaneously but require kludgy ad hoc workarounds to produce desirable results.

Even with all the hacks, the models often develop spurious correlations. In other words, they work for the wrong reasons. For example, it has been reported that many vision models work by exploiting correlations pertaining to image texture, background, angle of the photograph and specific features. These vision AI models then give bad results in uncontrolled situations.

For example, a leopard print sofa would be identified as a leopard. The models dont work when a tiny amount of fixed pattern noise undetectable by humans is added to the images or the images are rotated, say in the case of a post-accident upside-down car. ChatGPT, for all its impressive prose, poetry and essays, is unable to do simple multiplication of two large numbers, which a calculator from the 1970s can do easily.

The AI models do not have any level of human-like understanding but are great at mimicry and fooling people into believing they are intelligent by parroting the vast trove of text they have ingested. For this reason, computational linguist Emily Bender called the large language models such as ChatGPT and Googles Bard and BERT Stochastic Parrots in a 2021 paper. Her Google co-authors Timnit Gebru and Margaret Mitchell were asked to take their names off the paper. When they refused, they were fired by Google.

This criticism is not just directed at the current large language models but at the entire paradigm of trying to develop artificial intelligence. We dont get good at things just by reading about them. That comes from practice, of seeing what works and what doesnt. This is true even for purely intellectual tasks such as reading and writing. Even for formal disciplines such as maths, one cant get good at it without practising it.

These AI models have no purpose of their own. They, therefore, cant understand meaning or produce meaningful text or images. Many AI critics have argued that real intelligence requires social situatedness.

Doing physical things in the real world requires dealing with complexity, non-linearly and chaos. It also involves practice in actually doing those things. It is for this reason that progress has been exceedingly slow in robotics. Current robots can only handle fixed repetitive tasks involving identical rigid objects, such as in an assembly line. Even after years of hype about driverless cars and vast amounts of funding for its research, fully automated driving still doesnt appear feasible in the near future.

Current AI development based on detecting statistical correlations using neural networks, which are treated as black boxes, promotes a pseudoscience-based myth of creating intelligence at the cost of developing a scientific understanding of how and why these networks work. Instead, they emphasise spectacles such as creating impressive demos and scoring in standardised tests based on memorised data.

The only significant commercial use cases of the current versions of AI are advertisements: targeting buyers for social media and video streaming platforms. This does not require the high degree of reliability demanded from other engineering solutions they just need to be good enough. Bad outputs, such as the propagation of fake news and the creation of hate-filled filter bubbles, largely go unpunished.

Perhaps a silver lining in all this is, given the bleak prospects of AI singularity, the fear of super-intelligent malicious AIs destroying humankind is overblown. However, that is of little comfort for those at the receiving end of AI decision systems. We already have numerous examples of AI decision systems the world over denying people legitimate insurance claims, medical and hospitalisation benefits, and state welfare benefits.

AI systems in the United States have been implicated in imprisoning minorities to longer prison terms. There have even been reports of withdrawal of parental rights to minority parents based on spurious statistical correlations, which often boil down to them not having enough money to properly feed and take care of their children. And, of course, on fostering hate speech on social media.

As noted linguist Noam Chomsky wrote in a recent article:

ChatGPT exhibits something like the banality of evil: plagiarism and apathy and obviation.

Bappa Sinha is a veteran technologist interested in the impact of technology on society and politics.

This article was produced by Globetrotter.

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Fears of artificial intelligence overblown - Independent Australia

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Former GOP candidates push baseless QAnon conspiracy theory that Hurricane Ian was created to punish DeSantis – The Independent

While Florida residents and emergency crews survey the devastation from Hurricane Ian, which continues to barrel along the East Coast, two former far-right congressional candidates floated a baseless conspiracy theory that the federal government created the storm to punish and target Republicans.

Lauren Witzke, a QAnon-supporting conspiracy theorist who was the GOP candidate for US Senate seat in Delaware in 2020, said she has no doubt that technology exists to manipulate weather that could be used to target Florida Governor Ron DeSantis.

We know the technology does exist, she told former GOP congressional candidate Deanna Lorraine on her far-right conspiracy theory streaming channel, above a caption reading Biden Builds Transhuman Cyborg Army Using Immigrants.

Of course they would be willing to do something like this to target red states. I have no doubt. The technology exists to manipulate weather, Ms Witzke added in a clip captured by watchdog group Right Wing Watch. I know Florida is prone to hurricanes, however this developed to [a category 5 or category 5 storm] overnight, and it does seem to be hitting the conservative areas.

She said she is not putting it past the elites to target something like this towards Florida as punishment for eliminating Covid-19 vaccine requirements and getting rid of child grooming, referencing the states law prohibiting classroom discussion of LGBT+ people and issues by smearing its critics as groomers.

These huge hurricanes always seem to target red states, red districts, and always at a convenient time, typically right before elections or, you know, because possibly Ron DeSantis has been stepping out of line a lot and fighting the deep state, said Ms Lorraine, who received less than 2 per cent of the vote in a race against House Speaker Nancy Pelosi in 2020.

Their claims echo similarly unhinged-from-reality statements central to the QAnon movement in the wake of Hurricane Ida in 2021, which devastated coastal Louisiana with impacts felt throughout the south and East Coast.

QAnons big tent conspiracy theorist movement includes references to deep state-controlled weather manipulation events but fail to address the climate crisis, political figures who deny it, increasingly powerful storms fuelled by climate change, and a lack of critical infrastructure investments to combat them.

Nearly two million people in Florida remain without power after Ian made landfall on Tuesday.

The states death toll also continues to rise as emergency responders survey the damage. Officials have reported at least one confirmed death and 20 unconfirmed deaths in three counties.

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Former GOP candidates push baseless QAnon conspiracy theory that Hurricane Ian was created to punish DeSantis - The Independent

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National Nanotechnology Initiative (NNI) Releases Video Trailer to Highlight Documentary on NNI over the Past 20 Years ‘NNI Retrospective Video:…

Washington, D.C., Aug. 04, 2022 (GLOBE NEWSWIRE) -- For Immediate ReleaseThursday, August 4, 2022

Contacts: TV Worldwide(703) 961-9250 ext. 221 Info@TVWorldwide.com http://www.TVWorldwide.comWashington, D.C., August 4, 2022 - TV Worldwide, since 1999, a pioneering web-based global TV network, announced that it was releasing a video trailer highlighting a previously released documentary on NNI over the past 20 years, entitled, 'NNI Retrospective Video: Creating a National Initiative'.

The video and its trailer were produced in cooperation with the National Nanotechnology Initiative (NNI), the National Science Foundation and the University of North Carolina Greensboro.

The 3-minute video trailer can be viewed by clicking here. The full video documentary can be viewed by clicking here.

Video Documentary Synopsis

Nanotechnology is a megatrend in science and technology at the beginning of the 21 Century. The National Nanotechnology Initiative (NNI) has played a key role in advancing the field after it was announced by President Clinton in January 2000. Neil Lane was Presidential Science Advisor. Mike Roco proposed the initiative at the White House in March 1999 on behalf of the Interagency Working Group on Nanotechnology and was named the founding Chair of NSET to implement NNI beginning with Oct. 2000. NSF led the preparation of this initiative together with other agencies including NIH, DoD, DOE, NASA, and EPA. Jim Murday was named the first Director of NNCO to support NSET. The scientific and societal success of NNI has been recognized in the professional communities, National Academies, PCAST, and Congress. Nanoscale science, engineering and technology are strongly connected and collectively called Nanotechnology.This video documentary was made after the 20th NNI grantees conference at NSF. It is focused on creating and implementing NNI, through video interviews. The interviews focused on three questions: (a) Motivation and how NNI started; (b) The process and reason for the success in creating NNI; (c) Outcomes of NNI after 20 years, and how the initial vision has been realized.About the National Nanotechnology Initiative (NNI)The National Nanotechnology Initiative (NNI) is a U.S. Government research and development (R&D) initiative. Over thirty Federal departments, independent agencies, and commissions work together toward the shared vision of a future in which the ability to understand and control matter at the nanoscale leads to ongoing revolutions in technology and industry that benefit society. The NNI enhances interagency coordination of nanotechnology R&D,supports a shared infrastructure, enables leveraging of resources while avoiding duplication, and establishes shared goals, priorities, and strategies that complement agency-specific missions and activities.The NNI participating agencies work together to advance discovery and innovation across the nanotechnology R&D enterprise. The NNI portfolio encompasses efforts along the entire technology development pathway, from early-stage fundamental science through applications-driven activities. Nanoscience and nanotechnology are prevalent across the R&D landscape, with an ever-growing list of applications that includes nanomedicine, nanoelectronics, water treatment, precision agriculture, transportation, and energy generation and storage. The NNI brings together representatives from multiple agencies to leverage knowledge and resources and to collaborate with academia and the private sector, as appropriate, to promote technology transfer and facilitate commercialization. The breadth of NNI-supported infrastructure enables not only the nanotechnology community but also researchers from related disciplines.In addition to R&D efforts, the NNI is helping to build the nanotechnology workforce of the future, with focused efforts from K12 through postgraduate research training. The responsible development of nanotechnology has been an integral pillar of the NNI since its inception, and the initiative proactively considers potential implications and technology applications at the same time. Collectively, these activities ensure that the United States remains not only the place where nanoscience discoveries are made, but also where these discoveries are translated and manufactured into products to benefit society.About TV Worldwide

Founded in 1999, TV Worldwide.com, Inc. (t/a TV Worldwide, Inc., http://www.TVWorldwide.com) is a veteran-owned Internet TV solutions company that developed the first network of community-based Internet TV channels, primarily targeting niche enterprise/professional audiences ranging from the maritime industry to the cybersecurity and federal/public sectors. Known by many in the industry as "Intelligent Internet TV," Fortune 500 companies, 40 federal government agencies, and numerous associations including the National Association of Broadcasters have partnered with TV Worldwide to utilize TV Worldwide's live and on-demand state-of-the art video streaming content applications and Internet TV channels. In recognition of the company's pioneering unique achievements in new media solutions and content development, TV Worldwide has been selected by the National Academy of Television Arts and Sciences (NATAS) to webcast past Daytime Emmy Awards and the Emmy awards for Technology and Engineering. TV Worldwide Chairman and CEO Dave Gardy, has been honored by Streaming Media Magazine as one of the 25 Most Influential People in Streaming Media. Mr. Gardy also has served as the President of the International Webcasting Association (IWA) and was a member of the Vietnam Veterans Memorial Fund Corporate Council.

Contacts: TV Worldwide(703) 961-9250 ext. 221 Info@TVWorldwide.com http://www.TVWorldwide.com

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National Nanotechnology Initiative (NNI) Releases Video Trailer to Highlight Documentary on NNI over the Past 20 Years 'NNI Retrospective Video:...

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Whatever Happened to the Transhumanists? – Gizmodo

Image: Gizmodo/Shutterstock

Gizmodo is 20 years old! To celebrate the anniversary, were looking back at some of the most significant ways our lives have been thrown for a loop by our digital tools.

Like so many others after 9/11, I felt spiritually and existentially lost. Its hard to believe now, but I was a regular churchgoer at the time. Watching those planes smash into the World Trade Center woke me from my extended cerebral slumber and I havent set foot in a church since, aside from the occasional wedding or baptism.

I didnt realize it at the time, but that godawful day triggered an intrapersonal renaissance in which my passion for science and philosophy was resuscitated. My marriage didnt survive this mental reboot and return to form, but it did lead me to some very positive places, resulting in my adoption of secular Buddhism, meditation, and a decade-long stint with vegetarianism. It also led me to futurism, and in particular a brand of futurism known as transhumanism.

Transhumanism made a lot of sense to me, as it seemed to represent the logical next step in our evolution, albeit an evolution guided by humans and not Darwinian selection. As a cultural and intellectual movement, transhumanism seeks to improve the human condition by developing, promoting, and disseminating technologies that significantly augment our cognitive, physical, and psychological capabilities. When I first stumbled upon the movement, the technological enablers of transhumanism were starting to come into focus: genomics, cybernetics, artificial intelligence, and nanotechnology. These tools carried the potential to radically transform our species, leading to humans with augmented intelligence and memory, unlimited lifespans, and entirely new physical and cognitive capabilities. And as a nascent Buddhist, it meant a lot to me that transhumanism held the potential to alleviate a considerable amount of suffering through the elimination of disease, infirmary, mental disorders, and the ravages of aging.

The idea that humans would transition to a posthuman state seemed both inevitable and desirable, but, having an apparently functional brain, I immediately recognized the potential for tremendous harm. Wanting to avoid a Brave New World dystopia (perhaps vaingloriously), I decided to get directly involved in the transhumanist movement in hopes of steering it in the right direction. To that end, I launched my blog, Sentient Developments, joined the World Transhumanist Association (now Humanity+), co-founded the now-defunct Toronto Transhumanist Association, and served as the deputy editor of the transhumanist e-zine Betterhumans, also defunct. I also participated in the founding of the Institute for Ethics and Emerging Technologies (IEET), on which I continue to serve as chairman of the board.

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Indeed, it was also around this time in the early- to mid-2000s that I developed a passion for bioethics. This newfound fascination, along with my interest in futurist studies and outreach, gave rise to a dizzying number of opportunities. I gave talks at academic conferences, appeared regularly on radio and television, participated in public debates, and organized transhumanist-themed conferences, including TransVision 2004, which featured talks by Australian performance artist Stelarc, Canadian inventor and cyborg Steve Mann, and anti-aging expert Aubrey de Grey.

The transhumanist movement had permeated nearly every aspect of my life, and I thought of little else. It also introduced me to an intriguing (and at times problematic) cast of characters, many of whom remain my colleagues and friends. The movement gathered steady momentum into the late 2000s and early 2010s, acquiring many new supporters and a healthy dose of detractors. Transhumanist memes, such as mind uploading, genetically modified babies, human cloning, and radical life extension, flirted with the mainstream. At least for a while.

The term transhumanism popped into existence during the 20th century, but the idea has been around for a lot longer than that.

The quest for immortality has always been a part of our history, and it probably always will be. The Mesopotamian Epic of Gilgamesh is the earliest written example, while the Fountain of Youththe literal Fountain of Youthwas the obsession of Spanish explorer Juan Ponce de Len.

Notions that humans could somehow be modified or enhanced appeared during the European Enlightenment of the 18th century, with French philosopher Denis Diderot arguing that humans might someday redesign themselves into a multitude of types whose future and final organic structure its impossible to predict, as he wrote in DAlemberts Dream. Diderot also thought it possible to revive the dead and imbue animals and machines with intelligence. Another French philosopher, Marquis de Condorcet, thought along similar lines, contemplating utopian societies, human perfectibility, and life extension.

The Russian cosmists of the late 19th and early 20th centuries foreshadowed modern transhumanism, as they ruminated on space travel, physical rejuvenation, immortality, and the possibility of bringing the dead back to life, the latter being a portend to cryonicsa staple of modern transhumanist thinking. From the 1920s through to the 1950s, thinkers such as British biologist J. B. S. Haldane, Irish scientist J. D. Bernal, and British biologist Julian Huxley (who popularized the term transhumanism in a 1957 essay) were openly advocating for such things as artificial wombs, human clones, cybernetic implants, biological enhancements, and space exploration.

It wasnt until the 1990s, however, that a cohesive transhumanist movement emerged, a development largely brought about byyou guessed itthe internet.

As with many small subcultures, the internet allowed transhumanists around the world to start communicating on email lists, and then websites and blogs, James Hughes, a bioethicist, sociologist, and the executive director of the IEET, told me. Almost all transhumanist culture takes place online. The 1990s and early 2000s were also relatively prosperous, at least for the Western countries where transhumanism grew, so the techno-optimism of transhumanism seemed more plausible.

The internet most certainly gave rise to the vibrant transhumanist subculture, but the emergence of tantalizing, impactful scientific and technological concepts is what gave the movement its substance. Dolly the sheep, the worlds first cloned animal, was born in 1996, and in the following year Garry Kasparov became the first chess grandmaster to lose to a supercomputer. The Human Genome Project finally released a complete human genome sequence in 2003, in a project that took 13 years to complete. The internet itself gave birth to a host of futuristic concepts, including online virtual worlds and the prospect of uploading ones consciousness into a computer, but it also suggested a possible substrate for the Nospherea kind of global mind envisioned by the French Jesuit philosopher Pierre Teilhard de Chardin.

Key cheerleaders contributed to the proliferation of far-flung futurist-minded ideas. Eric Drexlers seminal book Engines of Creation (1986) demonstrated the startling potential for (and peril of) molecular nanotechnology, while the work of Hans Moravec and Kevin Warwick did the same for robotics and cybernetics, respectively. Futurist Ray Kurzweil, through his law of accelerating returns and fetishization of Moores Law, convinced many that a radical future was at hand; in his popular books, The Age of Spiritual Machines (1999) and The Singularity is Near (2005), Kurzweil predicted that human intelligence was on the cusp of merging with its technology. In his telling, this meant that we could expect a Technological Singularity (the emergence of greater-than-human artificial intelligence) by the mid-point of the 21st century (as an idea, the Singularityanother transhumanist staplehas been around since the 1960s and was formalized in a 1993 essay by futurist and sci-fi author Vernor Vinge). In 2006, an NSF-funded report, titled Managing Nano-Bio-Info-Cogno Innovations: Converging Technologies in Society, showed that the U.S. government was starting to pay attention to transhumanist ideas.

A vibrant grassroots transhumanist movement developed at the turn of the millennium. The Extropy Institute, founded by futurist Max More, and the World Transhumanist Association (WTA), along with its international charter groups, gave structure to what was, and still is, a wildly divergent set of ideas. A number of specialty groups with related interests also emerged, including: the Methuselah Foundation, the Singularity Institute for Artificial Intelligence (now the Machine Intelligence Research Institute), the Center for Responsible Nanotechnology, the Foresight Institute, the Lifeboat Foundation, and many others. Interest in cryonics increased as well, with the Alcor Life Extension Foundation and the Cryonics Institute receiving more attention than usual.

Society and culture got cyberpunked in a hurry, which naturally led people to think increasingly about the future. And with the Apollo era firmly in the rear view mirror, the publics interest in space exploration waned. Bored of the space-centric 2001: A Space Odyssey and Star Wars, we increasingly turned our attention to movies about AI, cybernetics, and supercomputers, including Blade Runner, Akira, and The Matrix, many of which had a distinctive dystopian tinge.

With the transhumanist movement in full flight, the howls of outrage became louderfrom critics within the conservative religious right through to those on the anti-technological left. Political scientist Francis Fukuyama declared transhumanism to be the worlds most dangerous idea, while bioethicist Leon Kass, a vocal critic of transhumanism, headed-up President George W. Bushs bioethics council, which explicitly addressed medical interventions meant to enhance human capabilities and appearance. The bioethical battle lines of the 21st century, it appeared, were being drawn before our eyes.

This TIME cover blew my mind when it came out on February 21, 2011.Image: Photo-illustration by Phillip Tolendo for TIME. Prop Styling by Donnie Myers.

It was a golden era for transhumanism. Within a seemingly impossible short time, our ideas went from obscurity to tickling the zeitgeist. The moment that really did it for me was seeing the cover of TIMEs February 21, 2011, issue, featuring the headline, 2045: The Year Man Becomes Immortal, and cover art depicting a brain-jacked human head.

By 2012, my own efforts in this area had landed me a job as a contributing editor for io9, which served to expand my interest in science, futurism, and philosophy even further. I presented a talk at Moogfest in 2014 and had some futurist side hustles, serving as the advisor for National Geographics 2017 documentary-drama series, Year Million. Transhumanist themes permeated much of my work back then, whether at io9 or later with Gizmodo, but less so with each passing year. These days I barely write about transhumanism, and my involvement in the movement barely registers. My focus has been on spaceflight and the ongoing commercialization of space, which continues to scratch my futurist itch.

What was once a piercing roar has retreated to barely discernible background noise. Or at least thats how it currently appears to me. For reasons that are both obvious and not obvious, explicit discussions of transhumanism and transhumanists have fallen by the wayside.

The reason we dont talk about transhumanism as much as we used to is that much of it has become a bit normalat least as far as the technology goes, as Anders Sandberg, a senior research fellow from the Future of Humanity Institute at the University of Oxford, told me.

We live lives online using wearable devices (smartphones), aided by AI and intelligence augmentation, virtual reality is back again, gene therapy and RNA vaccines are a thing, massive satellite constellations are happening, drones are becoming important in warfare, trans[gender] rights are a big issue, and so on, he said, adding: We are living in a partially transhuman world. At the same time, however, the transhumanist idea to deliberately embrace the change and try to aim for such a future has not become mainstream, Sandberg said.

His point about transhumanism having a connection to trans-rights may come as a surprise, but the futurist linkage to LGBTQ+ issues goes far back, whether it be sci-fi novelist Octavia Butler envisioning queer families and greater gender fluidity or feminist Donna Haraway yearning to be a cyborg rather than a goddess. Transhumanists have long advocated for a broadening of sexual and gender diversity, along with the associated rights to bodily autonomy and the means to invoke that autonomy. In 2011, Martine Rothblatt, the billionaire transhumanist and transgender rights advocate, took it a step further when she said, we cannot be surprised that transhumanism arises from the groins of transgenderism, and that we must welcome this further transcendence of arbitrary biology.

Natasha Vita-More, executive director of Humanity+ and an active transhumanist since the early 1980s, says ideas that were foreign to non-transhumanists 20 years ago have been integrated into our regular vocabulary. These days, transhumanist-minded thinkers often reference concepts such as cryonics, mind uploading, and memory transfer, but without having to invoke transhumanism, she said.

Is it good that we dont reference transhumanism as much anymore? No, I dont think so, but I also think it is part of the growth and evolution of social understanding in that we dont need to focus on philosophy or movements over technological or scientific advances that are changing the world, Vita-More told me. Moreover, people today are far more knowledgeable about technology than they were 20 years ago and are more adept at considering the pros and cons of change rather than just the cons or potential bad effects, she added.

PJ Manney, futurist consultant and author of the transhumanist-themed sci-fi Phoenix Horizon trilogy, says all the positive and optimistic visions of future humanity are being tempered or outright dashed as we see humans taking new tools and doing what humans do: the good, the bad, and the ugly.

Indeed, were a lot more cynical and wary of technology than we were 20 years ago, and for good reasons. The Cambridge Analytica data scandal, Edward Snowdens revelations about government spying, and the emergence of racist policing software were among an alarming batch of reproachable developments that demonstrated technologys potential to turn sour.

We dont talk about transhumanism that much any more because so much of it is in the culture already, Manney, who serves with me on the IEET board of directors, continued, but we exist in profound future shock and with cultural and social stresses all around us. Manney referenced the retrograde SCOTUS reversals and how U.S. states are removing human rights from acknowledged humans. She suggests that we secure human rights for humans before we consider our silicon simulacrums.

Nigel Cameron, an outspoken critic of transhumanism, said the futurist movement lost much of its appeal because the naive framing of the enormous changes and advances under discussion got less interesting as the distinct challenges of privacy, automation, and genetic manipulation (e.g. CRISPR) began to emerge. In the early 2000s, Cameron led a project on the ethics of emerging technologies at the Illinois Institute of Technology and is now a Senior Fellow at the University of Ottawas Institute on Science, Society and Policy.

Sandberg, a longstanding transhumanist organizer and scholar, said the War on Terror and other emerging conflicts of the 2000s caused people to turn to here-and-now geopolitics, while climate change, the rise of China, and the 2008 financial crisis led to the pessimism seen during the 2010s. Today we are having a serious problem with cynicism and pessimism paralyzing people from trying to fix and build things, Sandberg said. We need optimism!

Some of the transhumanist groups that emerged in the 1990s and 2000s still exist or evolved into new forms, and while a strong pro-transhumanist subculture remains, the larger public seems detached and largely disinterested. But thats not to say that these groups, or the transhumanist movement in general, didnt have an impact.

The various transhumanist movements led to many interesting conversations, including some bringing together conservatives and progressives into a common critique, said Cameron.

I think the movements had mainly an impact as intellectual salons where blue-sky discussions made people find important issues they later dug into professionally, said Sandberg. He pointed to Oxford University philosopher and transhumanist Nick Bostrom, who discovered the importance of existential risk for thinking about the long-term future, which resulted in an entirely new research direction. The Center for the Study of Existential Risk at the University of Cambridge and the Future of Humanity Institute at Oxford are the direct results of Bostroms work. Sandberg also cited artificial intelligence theorist Eliezer Yudkowsky, who refined thinking about AI that led to the AI safety community forming, and also the transhumanist cryptoanarchists who did the groundwork for the cryptocurrency world, he added. Indeed, Vitalik Buterin, a co-founder of Ethereum, subscribes to transhumanist thinking, and his father, Dmitry, used to attend our meetings at the Toronto Transhumanist Association.

According to Manney, various transhumanist-driven efforts inspired a vocabulary and creative impulse for many, including myself, to wrestle with the philosophical, technological and artistic implications that naturally arise. Sci-fi grapples with transhumanism now more than ever, whether people realize it or not, she said. Fair point. Shows like Humans, Orphan Black, Westworld, Black Mirror, and Upload are jam-packed with transhumanist themes and issues, though the term itself is rarelyif everuttered. That said, these shows are mostly dystopian in nature, which suggests transhumanism is mostly seen through gray-colored glasses. To be fair, super-uplifting portrayals of the future rarely work as Hollywood blockbusters or hit TV shows, but its worth pointing out that San Junipero is rated as among the best Black Mirror episodes for its positive portrayal of uploading as a means to escape death.

For the most part, however, transhuman-flavored technologies are understandably scary and relatively easy to cast in a negative light. Uncritical and starry-eyed transhumanists, of which there are many, werent of much help. Manney contends that transhumanism itself could use an upgrade. The lack of consideration for consequences and follow-on effects, as well as the narcissistic demands common to transhumanism, have always been the downfall of the movement, she told me. Be careful what you wish foryou may get it. Drone warfare, surveillance societies, deepfakes, and the potential for hackable bioprostheses and brain chips have made transhumanist ideas less interesting, according to Manney.

Like so many other marginal social movements, transhumanism has had an indirect influence by widening the Overton window [also known as the window of discourse] in policy and academic debates about human enhancement, Hughes explained. In the 2020s, transhumanism still has its critics, but it is better recognized as a legitimate intellectual position, providing some cover for more moderate bioliberals to argue for liberalized enhancement policies.

Transhumanist Anders Sandberg circa 1998. Photo: Anders Sandberg

Sandberg brought up a very good point: Nothing gets older faster than future visions. Indeed, many transhumanist ideas from the 1990s now look quaint, he said, pointing to wearable computers, smart drinks, imminent life extension, and all that internet utopianism. That said, Sandberg thinks the fundamental vision of transhumanism remains intact, saying the human condition can be questioned and changed, and we are getting better at it. These days, we talk more about CRISPR (a gene-editing tool that came into existence in 2012) than we do nanotechnology, but transhumanism naturally upgrades itself as new possibilities and arguments show up, he said.

Vita-More says the transhumanist vision is still desirable and probably even more so because it has started to make sense for many. Augmented humans are everywhere, she said, from implants, smart devices that we use daily, human integration with computational systems that we use daily, to the hope that one day we will be able to slow down memory loss and store or back-up our neurological function in case of memory loss or diseases of dementia and Alzheimers.

The observation that transhumanism has started to make sense for many is a good one. Take Neuralink, for example. SpaceX CEO Elon Musk based the startup on two very transhumanistic principlesthat interfaces between the brain and computers are possible and that artificial superintelligence is coming. Musk, in his typical fashion, claims a philanthropic motive for wanting to build neural interface devices, as he believes boosted brains will protect us from malign machine intelligence (I personally think hes wrong, but thats another story).

For Cameron, transhumanism looks as frightening as ever, and he honed in on a notion he refers to as the hollowing out of the human, the idea that all that matters in Homo sapiens can be uploaded as a paradigm for our desiderata. In the past, Cameron has argued that if machine intelligence is the model for human excellence and gets to enhance and take over, then we face a new feudalism, as control of finance and the power that goes with it will be at the core of technological human enhancement, and democracywill be dead in the water.

That being said, and despite these concerns, Manny believes theres still a need for a transhumanist movement, but one that addresses complexity and change for all humanity.

Likewise, Vita-More says a transhumanist movement is still needed because it serves to facilitate change and support choices based on personal needs that look beyond binary thinking, while also supporting diversity for good.

There is always a need for think tanks. While there are numerous futurist groups that contemplate the future, they are largely focused on energy, green energy, risks, and ethics, said Vita-More. Few of these groups are a reliable source of knowledge or information about the future of humanity other than a postmodernist stance, which is more focused on feminist studies, diversity, and cultural problems. Vita-More currently serves as the executive director of Humanity+.

Hughes says that transhumanists fell into a number of political, technological, and even religious camps when they tried to define what they actually wanted. The IEET describes its brand of transhumanism as technoprogressivisman attempt to define and promote a social democratic vision of an enhanced future, as Hughes defines it. As a concept, technoprogressivism provides a more tangible foundation for organizing than transhumanism, says Hughes, so I think we are well beyond the possibility of a transhumanist movement and will now see the growth of a family of transhumanist-inspired or influenced movements that have more specific identities, including Mormon and other religious transhumanists, libertarians and technoprogressives, and the ongoing longevist, AI, and brain-machine subcultures.

I do think we need public intellectuals to be more serious about connecting the dots, as technologies continue to converge and offer bane and blessing to the human condition, and as our response tends to be uncritically enthusiastic or perhaps unenthusiastic, said Cameron.

Sandberg says transhumanism is needed as a counterpoint to the pervasive pessimism and cynicism of our culture, and that to want to save the future you need to both think it is going to be awesome enough to be worth saving, and that we have power to do something constructive. To which he added: Transhumanism also adds diversitythe future does not have to be like the present.

As Manney aptly pointed out, it seems ludicrous to advocate for human enhancement at a time when abortion rights in the U.S. have been rescinded. The rise of anti-vaxxers during the covid-19 epidemic presents yet another complication, showing the extent to which the public willingly rejects a good thing. For me personally, the anti-vaxxer response to the pandemic was exceptionally discouraging, as I often reference vaccines to explain the transhumanist mindsetthat we already embrace interventions that enhance our limited genetic endowments.

Given the current landscape, its my own opinion that self-described transhumanists should advocate and agitate for full bodily, cognitive, and reproductive autonomy, while also championing the merits of scientific discourse. Until these rights are established, it seems a bit premature to laud the benefits of improved memories or radically extended lifespans, as sad as it is to have to admit that.

These contemporary social issues aside, the transhuman future wont wait for us to play catchup. These technologies will arrive, whether they emerge from university labs or corporate workshops. Many of these interventions will be of great benefit to humanity, but others could lead us down some seriously dark paths. Consequently, we must move the conversation forward.

Which reminds me of why I got involved in transhumanism in the first placemy desire to see the safe, sane, and accessible implementation of these transformative technologies. These goals remain worthwhile, regardless of any explicit mention of transhumanism. Thankfully, these conversations are happening, and we can thank the transhumanists for being the instigators, whether you subscribe to our ideas or not.

From the Gizmodo archives:

An Irreverent Guide to Transhumanism and The Singularity

U.S. Spy Agency Predicts a Very Transhuman Future by 2030

Most Americans Fear a Future of Designer Babies and Brain Chips

Transhumanist Tech Is a Boner Pill That Sets Up a Firewall Against Billy Joel

DARPAs New Biotech Division Wants to Create a Transhuman Future

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Whatever Happened to the Transhumanists? - Gizmodo

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Artificial Intelligence (AI), Cloud Computing, 5G, And Nanotech In Healthcare: How Organizations Are Preparing Best For The Future – Inventiva

Artificial Intelligence (AI), cloud computing, 5G, and Nanotech in healthcare: How organizations are preparing best for the future

Automation, digitalization, and technological enablement are having a significant impact on several industries. The healthcare industry is not an exception. The healthcare delivery system in India is changing and is about to advance significantly. The pandemic has shown that healthcare organizations can become innovative, flexible, and resilient by utilizing tech-enabled business models that place data at the core.

Additionally, healthcare organizations quickly realize that no matter how technically advanced their services or products are, they will no longer be applicable. To produce not just an enhanced product or service but also a better healthcare experience, it is imperative to connect with users along the healthcare value chain, be they patients or physicians. Fortunately, technological progress has accelerated the process of change required for Indian healthcare to become digitally linked and shown promise for enhancing peoples healthcare experiences.

India has already begun developing a national digital framework to create a digital health ecosystem on a national scale. The market for digital healthcare in India was estimated to be worth INR 116.61 billion in 2018 and is projected to reach INR 485.43 billion by 2024, growing at a CAGR of 27.41 per cent. Adopting electronic health records for the whole population is one of the several steps made in that regard.

Healthcare organizations are quickly embracing innovative technology to change how care is delivered in the nation and benefit the healthcare ecosystem as a solution to address the problems that the countrys healthcare system is now facing. Here are a few new technologies that are changing things:

Artificial Intelligence (AI)

Artificial intelligence (AI), machine learning (ML), and digital representations of the human bodys physiology make it possible to anticipate the chance that chronic diseases will advance based on the decisions being made. By using these simulations, healthcare professionals can better comprehend options and therapies and their consequences on patient health outcomes and influence on related expenditures.

Additionally, AI is helping healthcare professionals manage illnesses holistically, better coordinate care plans, and help patients manage and adhere to their treatment regimens. Further, statistics indicate that administrative expenses account for 30% of healthcare expenditures. The bulk of these duties, such as keeping track of bills that need to be paid and maintaining records, may be automated with AI, considerably cutting expenses.

Cloud Computing

The collaboration between physicians, nurses, and departments has grown crucial as healthcare organizations throughout the nation transition to value-based care. Thanks to cloud computing, accessing patient information has gone from a sluggish and laborious procedure to a quick and easy process.

With cloud computing, data may be stored centrally and made accessible from any location at any time. In addition, cloud infrastructure allows users to adjust health data storage depending on the new patient volume. IoT-enabled devices are being offered to patients by a variety of healthcare providers. By connecting these devices to a healthcare providers cloud system, patient data may be swiftly delivered to the doctor. This makes for a quicker diagnosis and better treatment.

The 5G Network

Every aspect of healthcare has the potential to be improved by a 5G connection, particularly since the healthcare sector is still recovering from the ravages of the epidemic. Large data files and real-time, high-definition video may be transmitted over a fast network to handle telemedicine appointments. Patients may reach medical professionals more quickly and receive treatment more quickly thanks to the use of 5G, especially in remote places.

Nanotech

Utilizing nanotechnology has given the healthcare sector new opportunities. Researchers and scientists use this technology to improve medical imaging, target tumours, and medication delivery systems. Additionally, the technique reduces costs, speeds up DNA sequencing, and provides scaffolding for tissue regeneration or wound healing. Further, artery obstructions are being removed by nanobots or micro-scale robots, as are quick biopsies of worrisome cancerous tumours.

The healthcare sector is anticipated to strengthen in 2022, thanks to groundbreaking discoveries and technologies. Most of the significant modifications are still in the future!

This article will examine the main medical technology developments and changes anticipated for the medical industry shortly.

The focus is often on lowering the cost, increasing access to healthcare services, and identifying and treating problems sooner rather than later. The US healthcare industry is expanding quickly; by 2026, the national healthcare products value is predicted to reach USD 6 trillion. Its never too late to prepare for the many available healthcare possibilities. Make sure to use digital technology to increase revenue, and staff productivity, achieve better financial results, and improve patient care.

Artificial intelligence (AI) technology has advanced quickly in recent years, and this trend will persist in 2022. Among the various sectors that gain from AI, medicine mainly uses it for accurate illness diagnosis and detection, albeit this is not the only use. IBM Watson, for instance, is one of the AI systems already accessible for use in business and healthcare.

Computed Tomography Scan Analysis

The demand for computed diagnostic professionals (radiologists) has significantly grown since the COVID-19 epidemic struck the worlds population.

AI-powered technology could provide a solution. AI systems can quickly evaluate CT images from hundreds of patients, identifying pneumonia patterns brought on by COVID-19 and informing physicians of these. That would make up for the lack of qualified labour in this industry.

Before our eyes, innovative ideas are taking shape. For instance, a deep learning model for imaging COVID-19 was developed to recognize COVID-19 patterns in CT images automatically. The Microsoft-sponsored InnerEye research project is another promising endeavour for processing computed tomography scans. Even though accuracy has significantly increased, radiologists are still hesitant to entrust the digital mind with crucial choices. AI cannot be held responsible for a poor diagnosis or ineffective course of therapy. Instead, the expert who decided to employ AI must pay for their error and take every precaution to limit the adverse effects while maximizing this digital health trend.

Because of this, most cutting-edge clinics employ AI as an additional tool rather than a stand-alone diagnostic or therapeutic method. It is excellent for validating current diagnoses or enhancing research data that has been gathered conventionally.

Machine Learning in Biopharma and Medtech

The pharmaceutical sector will effectively capitalize on technological advancements in healthcare by utilizing AI to discover new medications. A group of British and Japanese scientists filed a patent for the first medicinal molecule created by AI in January 2020. The drug will be used to treat obsessive-compulsive disorder after it passes muster for testing on humans.

AI-enhanced lab research has also led to the discovery of other intriguing formulations since late 2021, including some potential treatments for uncommon and extremely severe ailments. Numerous cutting-edge studies, such as molecular modelling and simulation of chemical reactions in multi-factor settings, leverage AI and machine learning approaches to support chemical experiments and therapeutic medication development.

Since many tests may be carried out electronically, this method enables scientists to reduce the number of expensive onsite experiments using reagents and high-tech lab equipment. It also hastens the discovery of critical scientific innovations.

Automating Hospital Workflows using Robotics

Startups from all over the world will pour hundreds of millions of dollars into creating AI projects in 2022, including various forms of robotic systems, which may enable them to reduce the cost of recruiting trained medical personnel. The intention is to assist medical facilities that already have a severe shortage of nurses and clinicians as a result of the COVID-19 pandemic, which has put the entire healthcare system under unprecedented strain, rather than to replace people with machines, which would lead to unemployment and a decline in social standards. Learn more about creating medical HR software to assist HR professionals in addressing the U.S. medical workforce problem.

Innovative enterprises should keep in mind the medical communitys restrictions on AI-driven software, its capabilities, and its applications as they work to realize these lofty goals. Modern medicine has countless applications for robotic assistance and automated systems, including cleanliness, surgery, remote diagnostics, etc. However, the healthcare systems top goals will always be the well-being of medical personnel and the effective treatment of patients.

In light of this, robotic and AI-driven technologies will be employed to support current procedures rather than replace them, resulting in a potent fusion of the present and the future. Daring projects combined with sound regulation are a prominent trend in the digital health sector. It will enable physicians to utilize cutting-edge technology fully, learn to apply it in satisfying and secure ways, and steer clear of any pitfalls.

Symptom Checker Chatbots

Chatbots are computer programs with artificial intelligence (AI) support (often not true AI but powerful algorithms) that engage in meaningful conversations that resemble those between humans using voice, text, or option-based input.

Every area, including healthcare and medical consultancy, is seeing a rise in their use. These solutions, available around-the-clock online or via mobile devices, can provide preliminary medical diagnoses and health advice based on input and complaints from a patient. Chatbots can also be connected with unique patient portals for hospitals and clinics. When human medical assistants are unavailable, they can assist patients with their health issues and worries, even in acute situations (such as disaster-induced overloads of call centres, peak or non-operation hours, etc.)

These chatbots can aid patients in determining their subsequent actions and motivate them to seek professional medical advice when necessary. Care must be exercised, though, since it may result in inaccurate self-diagnosis and disinformation.

Globalization of AI Requirements in Healthcare

Ten recommendations that can serve as the foundation for the creation of GMLP have been developed by a powerful coalition of the U.S. FDA, Health Canada, and the United Kingdoms Medicines and Healthcare products Regulatory Agency (MHRA) (Good Machine Learning Practice). These guidelines will help programmers and AI engineers create secure medical equipment, software, and systems powered by artificial intelligence and machine learning (AI/ML) components. This shows that governments take the potential and hazards posed by AI exceptionally seriously and would want to regulate the use of AI in healthcare practices as soon as feasible.

Adoption of AI-backed Technologies

The main drawback of the advancement in artificial intelligence technology is that hackers will use it to target medical systems and steal secured healthcare information, rather than only to save human lives or help medical personnel with their everyday responsibilities. One of the growing dangers to the security of medical technology in 2022 and beyond is sophisticated malware with AI capabilities.

Which medical technology solutions are in jeopardy? Almost everything could have weak security or security flaws, such as wireless systems in hospitals, clinics, or health centres, EMR/EHR solutions, IoT, and computer-aided healthcare provider and health insurance company systems. Intricate phishing and social engineering assaults can also target clients and staff members.

Hackers may use this feature to simulate personal identities as part of next-generation super-personalized social engineering and phishing campaigns, which have the potential to be as dangerous and deceptive as ever before due to AIs growing capacity to mimic photorealistic 3D faces or organically sounding voices. This necessitates installing high-end data protection methods that can mitigate any hazards by hacker techniques aided by AI.

Despite all the technological safeguards and healthcare providers knowledge, statistics on data breaches show a sharp rise over the previous ten years, with infractions peaking in 20202021. These data breaches impact thousands of patients around the US. Hopefully, healthcare organizations will focus more on data security and their digital ecosystems in 2022. Healthcare cybersecurity is quickly emerging as a popular technological topic this decade.

How to Prevent Data Breaches in Healthcare?

The security of medical records, which is governed by HIPAA and EDI in the healthcare industry, is a top priority for the US government.

Every healthcare professional should follow a few effective procedures:

Facial Recognition With Masks

Face recognition technology, which permits approved access for medical professionals to mobile devices or workstations, rose to popularity due to its ease.

Deep learning facial recognition algorithms must be used in the COVID-19 pandemic to distinguish staff members wearing masks. Specific sources claim that some businesses have already achieved 99.9% accuracy in the face recognition of people wearing masks.

Nanotechnology may still seem like science fiction, yet it is steadily influencing our daily lives. By the end of 2021, fantastic news about the creation of tiny, organic robots that can reproduce themselves will reach every part of the globe. Therefore, it is realistic to anticipate that 2022 will bring forth several significant advancements in the nanomedicine sector. Early investments are welcome in the burgeoning nanomedicine industry.

Here is a brief explanation of what nanomedicine is: it uses nanoscale (microscopically small) materials and objects, like biocompatible nanoparticles, nanoelectronic devices, or even nanorobots, for specific medical uses and manipulations, like the diagnosis or treatment of living organisms. The injection of a group of nanorobots into a humans blood vessels might be utilized as a possible hunter for cancer cells or viruses, for instance. This method is anticipated to effectively combat a wide range of cancers, rheumatoid arthritis, and other hereditary, oncologic, or auto-immune illnesses on a cellular level (or even become an ultimate solution to them).

Even though the IoMT will not be a novel concept by 2022, this industry will experience exponential growth. Every one of the several digital health developments in this sector has excellent applications for healthcare professionals and has the potential to save billions of dollars.

Apps for remote health monitoring and wellness will continue to grow in popularity in 2022. You may discover a decent number of professional (and many other semi-professionals) mobile applications for healthcare and health in the GooglePlay or iTunes libraries.

Some mobile applications can connect to wearables like pulsometers or fitness trackers to use the information gathered by the sensors attached to your body to report or evaluate your health problems, including blood pressure, body temperature, pulse, and other metrics.

Autonomous nursing robots or self-moving smart gadgets can substantially assist by minimizing the tasks linked to supply management or sanitary maintenance that medical professionals must perform.

Different types of robots can work in various hospital-based settings and jobs, protecting human workers from infection risks or stress from the extreme burden imposed on many US hospitals by a COVID-19 patient overflow. An Italian hospital, for instance, employed robot nurses during a COVID-19 severe epidemic. These clever assistants were utilized to remotely check patients blood pressure and oxygen saturation levels because they are two critical indicators of their present state of health. Those levels might decline quickly, necessitating emergency intervention for the patient. This drastically decreased the requirement for nurses to visit patients in person.

Healthcare systems primarily concentrate on elements within their area of expertise: quality and price of medical services while generating risk assessments and accumulating illness data. However, they represent the very beginning. Before patients feel symptoms and seek the help of physicians, a host of other less apparent circumstances impact them.

Initial health problems are caused by factors other than a lack of care. Their origins are deeper; they are found in social, environmental, and demographic contexts that are rarely taken into account in the context of conventional clinical diagnoses.

Medical institutions mainly handle symptoms and offer advice on lifestyle modifications, having a minimally significant influence on treatment results (between 10% and 20%). In addition, between 80% and 90% of health outcomes are determined by non-medical variables. The term social determinants of health refers to these elements (SDOH).

In 2022, healthcare providers will approach SDOH with greater caution than ever before and carefully review patients medical histories, taking into account details that were overlooked in earlier years.

Doctors will shift from treating symptoms to prediction and prevention based on patients SDOH predisposition to particular diseases to stop the advancement of dangerous health concerns and reduce individual medical expenditures.

More implant-related options and technology will hit the global and American healthcare markets in 2022. This offers dramatically improved regenerative medicine effectiveness, patient rehabilitation, and a solution for many disabilities previously thought to be incurable.

Increasing the Use of 3D Bioprinting

By 2027, it is anticipated that the medical industrys volume of 3D printing potential will surpass $6 billion. Even if 3D printing biocompatible implants is not a novel technique in 2022, new materials and more advanced prosthetic methods will make this technology more dependable and available to a more extensive range of patients. In particular, it is anticipated that advancements in 3D bioprinting technology would improve the following areas:

Neural Implants

In 2022, effective options for brain-computer implants are anticipated to debut. Neuralink plans to begin inserting its devices into human brains at least in 2022. More businesses, groups, initiatives, and startups are preparing to market their neuro-implants for various medical requirements, including regaining functional independence in patients with multiple forms of paralysis or blindness.

For instance, it was stated that by the end of 2021, a team of scientists had implanted a microelectrode array (a penny-sized implant) into the visual brain of a blind individual, enabling her to recognize several letters and shapes. Although there is still a long way to go, brain implants potential to help people with various disabilities seems to have a genuinely fantastic and promising future.

Healthcare businesses will employ an exponentially growing number of data sources, and the volume of gathered healthcare data (including patient records, DICOM files, and medical IoT solutions) will also rapidly increase. Medical service providers will seek contemporary platforms, such as data fabrics, to combine and handle massive amounts of dispersed and structured data.

It will be among the tasks to build safe multi-cloud solutions capable of transporting significant amounts of data to manage, store, and mine it for valuable insights and to link siloed data with the healthcare systems.

Healthcare payers and providers frequently have interests that clash. The standard of their collaborative work decreases when both sides take absolutist positions. Patients, therefore, do not get the care they need. They are frequently mistreated, have to wait longer, and pay more.

Both payers and providers should embrace a value-oriented mindset and work toward group goals rather than individual success. All parties must understand that they are working for the same purposeproviding high-end healthcare to the publicand that if either suffers losses, the other will no longer support them. All organizations involved in the healthcare sector will hopefully try their utmost to learn how to collaborate in 2021. They will concentrate on delivering complete care, move from settling disagreements to cooperation, and communicate information to support successful decision-making.

The healthcare sector is already seeing the effects of the vast diversity, universality, and growth of digital communication channels. A brand-new channel for distributing medical data is telehealth. It entails delivering healthcare services remotely through the Internet, videoconferencing, streaming services, and other communication technologies. Long-distance education for patients and medical professionals is included in telehealth. Telehealth has achieved widespread acceptance and has evolved into a regular procedure in 2021. Modern clinics already counsel their patients electronically. This kind of communication will replace conventional internal dialogues and receive full regulatory permission in the upcoming years.

With the introduction of 5G wireless, telehealth will expand rapidly and be universally adopted shortly.

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Sarah Drew Would Totally Love A Japril Spinoff With Jesse Williams, And Knows How She’d Want It To Be Different From Grey’s Anatomy – CinemaBlend

Sarah Drew and Jesse Williams returned to Greys Anatomy for its Season 18 finale, thrilling fans with the reveal that their characters Jackson Avery and April Kepner had reunited. The fandom has been screaming for a Japril spinoff pretty much since Drew left the medical drama at the end of Season 14 (if not before that), and the yearning to see the couples life together in Boston is stronger than ever following their on-screen in-elevator kiss. The actors seem down for a spinoff, as well, as theyve consistently voiced their love for the characters, but Drew has an interesting idea about how shed want to differentiate their series from Greys Anatomy.

The idea of a spinoff featuring Jackson and April was actually one the actors pitched when they were both still on the show. Rather than giving them their own series, the writers turned their pitch into what is now known as Japril The Movie, a heartbreaking Season 12 episode. Sarah Drew returned for the Season 17 episode that announced Jesse Williams exit from Greys Anatomy, with April agreeing to accompany Jackson to Boston to continue co-parenting their daughter Harriet. Drew spoke with Tommy DiDario on Instagram about how she sees that story being continued:

In my dream world, it would be like a 10-episode kind of show where we could be somewhere that allows it to be a little darker, and a little grittier, a little sexier. That would be fun.

The Japril dynamic has been fun to watch, to say the least, but if they were the sole focus of the story, without the necessity of sharing screen time with a bevy of other Seattle surgeons, Jesse Williams and Sarah Drew would definitely have to dive deeper into Jackson and Aprils complexities much like they did for Japril The Movie. In that episode (officially Unbreak My Heart), Jackson served April with divorce papers, prompting a look at the highs and lows of their time together, with the episode ending with the reveal that April was pregnant again.

The history certainly exists for Sarah Drew and Jesse Williams to go darker and grittier with the characters. As far as sexier, lets just say its a good thing Jackson and April are doctors, because I feel some heart palpitations coming on.

The reason for their move to Boston for Jackson to take over his familys Catherine Fox Foundation to help provide better medical care to underserved communities would also lend itself to some interesting and important content. Drew said that would be fun to tackle:

And I think that's what's really fun about these two characters...they're both right now kind of really living in their purpose. And they're out to change the medical field and to fight for medical justice. We haven't seen that out in the world yet. So, I think it could lend itself to really interesting, fun stories to tell.

After his exit from the show in 2021, Jesse Williams said he and Sarah Drew would kill it if given the chance to do a spinoff, and Greys Anatomy star Ellen Pompeo also said she gets why fans want to see more, and shed watch them lead their own show. This seems to be an idea that fans (and the actors!) arent letting go of, so will somebody order this spinoff already?

In the meantime, you can relive all the Japril drama on streaming, with Seasons 1-17 of Greys Anatomy available to Netflix subscribers, while Season 18 is available in full with a Hulu subscription.

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Sarah Drew Would Totally Love A Japril Spinoff With Jesse Williams, And Knows How She'd Want It To Be Different From Grey's Anatomy - CinemaBlend

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