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IRVINE, Calif., Oct. 15, 2020 (GLOBE NEWSWIRE) -- Lantronix Inc. (NASDAQ: LTRX), a global provider of Software as a Service (SaaS), engineering services and hardware for Edge Computing, the Internet of Things (IoT) and Remote Environment Management (REM), today announced the availability of its new Lantronix Open-Q 610 SOM based on the powerful Qualcomm QCS610System on Chip (SOC). This micro System on Module (SOM) is designed for connected visual intelligence applications with high-resolution camera capabilities, on-device artificial intelligence (AI) processing and native Ethernet interface.

Our long and successful relationship with Qualcomm Technologies enables us to deliver powerful micro SOM solutions that can accelerate IoT design and implementation, empowering innovators to create IoT applications that go beyond hardware and enabletheir wildest dreams, said Paul Pickle, CEO of Lantronix.

The new Lantronix ultra-compact (50mm x 25mm), production-ready Open-Q 610 SOM is based on the powerful Qualcomm QCS610SOC, the latest in the Qualcomm Vision Intelligence Platform lineup targeting smart cameras with edge computing. Delivering up to 50 percent improved AI performance than the previous generation as well as image signal processing and sensor processing capabilities, it is designed to bring smart camera technology, including powerful artificial intelligence and machine learning features formerly only available to high-end devices, into mid-tier camera segments, including smart cities, commercial and enterprise, homes and vehicles.

Bringing Advanced AI and Machine Learning to Smart Camera Application

Created to bring advanced artificial intelligence and machine learning capabilities to smart cameras in multiple vertical markets, the Open-Q 610 SOM is designed for developers seeking to innovate new products utilizing the latest vision and AI edge capabilities, such as smart connected cameras, video conference systems, machine vision and robotics. With the Open-Q 610 SOM, developers gain a pre-tested, pre-certified, production-ready computing module that reduces risk and expedites innovative product development.

The Open-Q 610 SOM provides the core computing capabilities for:

Connectivity solutions include Wi-Fi/BT, Gigabit Ethernet, multiple USB ports and three-camera interfaces.

The Lantronix Open-Q 610 SOM provides advanced artificial intelligence and machine learning capabilities that enable developers to innovate new product designs, including smart connected cameras, video conference systems, machine vision and robotics, said Jonathan Shipman, VP of Strategy at Lantronix Inc. Lantronix micro SOMs and solutions enable IoT device makers to jumpstart new product development and accelerate time-to-market by shortening the design cycle, reducing development risk and simplifying the manufacturing process.

Open-Q 610 Development Kit

The companion Open-Q 610 Development Kit is a full-featured platform with available software tools, documentation and optional accessories. It delivers everything required to immediately begin evaluation and initial product development.

The development kit integrates the production-ready OpenQ 610 SOM with a carrier board, providing numerous expansion and connectivity options to support development and testing of peripherals and applications. The development kit, along with the available documentation, also provides a proven reference design for custom carrier boards, providing a low-risk fast track to market for new products.

In addition to production-ready SOMs, development platforms and tools, Lantronix offers turnkey product development services, driver and application software development and technical support.

For more information, visit Open-Q 610 SOM and Open Q 610 SOM Development kit.

About Lantronix

Lantronix Inc. is a global provider of software as a service (SaaS), engineering services and hardware for Edge Computing, the Internet of Things (IoT) and Remote Environment Management (REM). Lantronix enables its customers to provide reliable and secure solutions while accelerating their time to market. Lantronixs products and services dramatically simplify operations through the creation, development, deployment and management of customer projects at scale while providing quality, reliability and security.

Lantronixs portfolio of services and products address each layer of the IoT Stack, including Collect, Connect, Compute, Control and Comprehend, enabling its customers to deploy successful IoT and REM solutions. Lantronixs services and products deliver a holistic approach, addressing its customers needs by integrating a SaaS management platform with custom application development layered on top of external and embedded hardware, enabling intelligent edge computing, secure communications (wired, Wi-Fi and cellular), location and positional tracking and environmental sensing and reporting.

With three decades of proven experience in creating robust industry and customer-specific solutions, Lantronix is an innovator in enabling its customers to build new business models, leverage greater efficiencies and realize the possibilities of IoT and REM.Lantronixs solutions are deployed inside millions of machines at data centers, offices and remote sites serving a wide range of industries, including energy, agriculture, medical, security, manufacturing, distribution, transportation, retail, financial, environmental, infrastructure and government.

For more information, visit http://www.lantronix.com. Learn more at the Lantronix blog, http://www.lantronix.com/blog, featuring industry discussion and updates. To follow Lantronix on Twitter, please visit http://www.twitter.com/Lantronix. View our video library on YouTube at http://www.youtube.com/user/LantronixInc or connect with us on LinkedIn at http://www.linkedin.com/company/lantronix

Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995: Any statements set forth in this news release that are not entirely historical and factual in nature, including without limitation statements related to our solutions, technologies and products as well as the advanced Lantronix Open-Q 610 SOM, are forward-looking statements. These forward-looking statements are based on our current expectations and are subject to substantial risks and uncertainties that could cause our actual results, future business, financial condition, or performance to differ materially from our historical results or those expressed or implied in any forward-looking statement contained in this news release. The potential risks and uncertainties include, but are not limited to, such factors as the effects of negative or worsening regional and worldwide economic conditions or market instability on our business, including effects on purchasing decisions by our customers; the impact of the COVID-19 outbreak on our employees, supply and distribution chains, and the global economy; cybersecurity risks; changes in applicable U.S. and foreign government laws, regulations, and tariffs; our ability to successfully implement our acquisitions strategy or integrate acquired companies; difficulties and costs of protecting patents and other proprietary rights; the level of our indebtedness, our ability to service our indebtedness and the restrictions in our debt agreements; and any additional factors included in our Annual Report on Form 10-K for the fiscal year ended June 30, 2019, filed with the Securities and Exchange Commission (the SEC) on September 11, 2019, including in the section entitled Risk Factors in Item 1A of Part I of such report, as well as in our other public filings with the SEC. Additional risk factors may be identified from time to time in our future filings. The forward-looking statements included in this release speak only as of the date hereof, and we do not undertake any obligation to update these forward-looking statements to reflect subsequent events or circumstances.

Lantronix Media Contact:Gail Kathryn MillerCorporate Marketing &Communications Managermedia@lantronix.com949-453-7158

Lantronix Analyst and Investor Contact:Jeremy WhitakerChief Financial Officerinvestors@lantronix.com 949-450-7241

Lantronix Sales: sales@lantronix.comAmericas +1 (800) 422-7055 (US and Canada) or +1 949-453-3990Europe, Middle East and Africa +31 (0)76 52 36 744Asia Pacific + 852 3428-2338China + 86 21-6237-8868Japan +81 (0) 50-1354-6201India +91 994-551-2488

2020 Lantronix, Inc. All rights reserved. Lantronix is a registered trademark, and EMG, and SLC are trademarks of Lantronix Inc. Other trademarks and trade names are those of their respective owners.

Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

Qualcomm Vision Intelligence Platform and Qualcomm QCS610 are products of Qualcomm Technologies, Inc. and/or its subsidiaries.

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Lantronix Brings Advanced AI and Machine Learning to Smart Cameras With New Open-Q 610 SOM Based on the Powerful Qualcomm QCS610 System on Chip (SOC)...

In the given unprecedented times, digital transformation is vital. One of the significant challenges is modernizing banks and legacy business systems without disrupting the existing system. However, artificial intelligence (AI) and machine learning (ML) have played a pivotal role in conducting hassle-and risk-free digital transformation. An artificial intelligence and machine learning-led approach to system modernization will enable businesses to associate with other fintech services into embracing modern demands and regulations while ensuring safety and enabling security.

In the banking industry, with the growing pressure in managing risk along with increasing governance and regulatory requirements, banks must improve their services towards more unique and better customer service. Fintech brands are increasingly applying AI and ML in a wide range of applications across several channels to leverage all the available client data to predict how customers requirements are evolving. And they are also speculating what services will prove beneficial for them, what type of fraudulent activity has the highest possibility to attack customers systems. Leveraging the power of AI and ML in banking is required along with data science acceleration to enhance customers portfolio offerings.

Here are some significant roles of Artificial intelligence and Machine Learning in banking and finance listed below:

One of the practical examples to showcase the benefits of machine learning could be described in it. While sanctioning loans to customers, banks had to rely on the clients history to comprehend that particular customers creditworthiness. However, the process was not always seamless and accurate, and banks had to face challenges in approving the loans at times. With the digital transformation, the machine learning algorithms analyzes the user better to process the loan further in a much convenient manner.

Banks are undoubtedly one of the most highly regulated institutions and observe strict government regulations in order to protect defaulting or prevent fishing financial crimes within their systems. This is one of the primary reasons for the banking processes to shift to all-digital in such a short span of time. It is essential to be aware of the risk before any suspicious activity has begun to mitigate fraudulent activity. During the traditional process, banks had to violate some pre-set protocols to prevent users from fraudulent activity. Advances in machine learning can sense suspicious activity even before the external threat violates the customers account. The underlying benefit from this is that machines are capable of performing high-level analysis in real-time, which is impossible for humans to perform manually.

Chatbots are one of AI-led software that clones human conversation. The technology imbibed in chatbots makes it convenient for banks to respond to customers questions faster. The chatbots are proven beneficial for financial institutions to serve users issues at a large scale in a matter of a few hours.

The ability to identify the users past behaviour and craft targeted campaigns is a boon for both customers and banks. Such customised campaign creates all the necessary information the client would require while making it and will save both time and energy. Todays customers also enjoy services that are customised as per their preferences and enhance their banking experience.

With the increase of fintech companies and the rapid change in technology use, it was a matter of time that artificial intelligence and machine learning would enter modern banking, redefining the dynamics forever. The application of AI and ML will offer predictive data analysis as banks and financial institutions will try to offer better services with more actionable information like patterned data sets of customers behaviour and spending behaviour. Artificial intelligence adoption for financial institutions will be the key to obtaining a competitive edge as they will offer a fast, secure, and personalised banking experience to its customers.

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AI and Machine Learning are Redefining Banking Industry - Analytics Insight

New AI capabilities pave way for an ultra-personalized customer experience

PISCATAWAY, N.J., Oct. 14, 2020 /PRNewswire/ --Futurism Technologies, a leading provider of digital transformation solutions, is bringing to life its Futurism Dimensions business commerce suite with additional artificial intelligence and machine learning capabilities. New AI capabilities will help online companies provide an exceptional personalized online customer experience and user journeys. Futurism Dimensions will not only help companies put their businesses online, but would also help to completely digitize their commerce lifecycle. The commerce life cycle includes digital product catalog creation and placement, AI-driven digital marketing, order generation to fulfillment, tracking, shipments, taxes and financial reporting, all from a unified platform.

With the "new norm," companies are racing to provide a better online experience for their customers. It's not just about putting up a website today, it's about creating personalized and smarter customer experiences. Using customer behavioral analysis, AI, machine learning and bots, Futurism's Dimensions creates that personalized experience. In addition, with Futurism Dimensions, companies become more efficient by transforming the entire commerce value chain and back office to digital.

"Companies such as Amazon have redefined online customer experience and set the bar very high. Every company will be expected to offer personalized, easy-to-use, online experience available from anywhere at any time and on any device," said Sheetal Pansare, CEO of Futurism Technologies. "We've armed Dimensions with advanced AI and ML to help companies provide exceptional personalized experiences to their customers. At the same time, with Dimensions, they can digitize their entire commerce value chain and become more efficient with business automation. Our ecommerce platform is affordable and suited for companies of all sizes," added Mr. Pansare.

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Futurism Dimensions highlights:

Secure and stable platform with 24/7 support and migration

As cybercrimes continue to evolve, e-commerce companies ought to keep up with advanced cybersecurity developments. Futurism Dimensions prides itself on its security for customers allowing them to receive the latest in technological advancements in cybersecurity. Dimensions leverages highly secure two-factor authentication and encryption to safeguard your customers' data and business from potential hackers.

To ensure seamless migration from existing implementations, Dimensions integrates with most legacy systems.

Dimensions offers 24/7 customer support, something you won't find with some of the dead-end platforms of the past. Others will simply have a help page or community forum, but that doesn't necessarily solve the problem. It can also be costly if you need to reach someone for support on other platforms, whereas Dimensions support is included in your plan.

Migrating to Dimensions is a seamless transition with little to no downtime. Protecting online businesses from cyber threats is a top priority while transitioning their websites from another platform or service. You get a dedicated team at your disposal throughout the transition to ensure timely completion and implementation.

Heat Map, Customer Session Playback, Live Chat and Analytics

Dimensions offers intelligent customer insights with Heat Map tracking, Full customer session playback, and live chat allowing you to understand customers' needs. Heat Map will help you identify the most used areas of your website and what your customers are clicking on. Further, customer session playback will help you identify how customers arrived at certain products or pages. Dimensions also has a live customer session that helps you provide prompt support.

Customer insights and analytics are lifeblood for any e-business in today's digital era. Dimensions offers intelligent insights into demographics to help you market to your target audiences.

Highly personalized user experience using Artificial Intelligence

Dimensions lets you deploy smart AI-powered bots that use machine learning algorithms to come up with smarter replies to customer questions thus, reducing response time significantly. Chatbots can help address customer queries that usually drop in after business hours with automated and pre-defined responses. Eureka! Never lose a sale.

Business Efficiency and Automation using AI and Machine Learning

AI and machine learning can help predict inventory and automate processes such as support, payments, and procurement. It can also expand business intelligence to help create targeted marketing plans. Lastly, it can give you live GPS logistics tracking.

Mobile Application

Dimensions team will design your mobile site application to look and function as if a consumer were viewing it on their computer. Fully optimized and designed for ease of use while not limiting anything from your main site.

About Futurism Technologies

Advancements in digital information technology continue to offer companies with the opportunities to drive efficiency, revenue, better understand and engage customers, and redefine their business models. At Futurism, we partner with our clients to leverage the power of digital technology. Digital evolution or a digital revolution, Futurism helps to guide companies on their DX journey.

Whether it is taking a business to the cloud to improve efficiency and business continuity, building a next-generation ecommerce marketplace and mobile app for a retailer, helping to define and implement a new business model for a smart factory, or providing end-to-end cybersecurity services, Futurism brings in the global consulting and implementation expertise it takes to monetize the digital journey.

Futurism provides DX services across the entire value chain including e-commerce, digital infrastructure, business processes, digital customer engagement, and cybersecurity.

Learn more about Futurism Technologies, Inc. at http://www.futurismtechnologies.com

Contact:

Leo J ColeChief Marketing OfficerMobile: +1-512-300-9744Email: communication@futurismtechnologies.com

Website: http://www.futurismtechnologies.com

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Analyst expectations of firms earnings are on average biased upwards, and that bias varies over time and stocks, according to new research by experts at Wharton and elsewhere. They have developed a machine-learning model to generate a statistically optimal and unbiased benchmark for earnings expectations, which is detailed in a new paper titled, Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases. According to the paper, the model has the potential to deliver profitable trading strategies: to buy low and sell high. When analyst expectations are too pessimistic, investors should buy the stock. When analyst expectations are excessively optimistic, investors can sell their holdings or short stocks as price declines are forecasted.

[With the machine-learning model], we can predict how the prices of the stocks will behave based on whether or not the analyst forecast is too optimistic or too pessimistic, said Wharton finance professor Jules H. van Binsbergen, who is one of the papers authors. His co-authors are Xiao Han, a doctoral student at the University of Edinburgh Business School; and Alejandro Lopez-Lira, a finance professor at the BI Norwegian Business School.

The researchers found that the biases of analysts increase in the forecast horizon, or in the period when the earnings announcement date is not anytime soon. However, on average, analysts revise their expectations downwards as the date of the earnings announcement approaches. These revisions induce negative cross-sectional stock predictability, the researchers write, explaining that stocks with more optimistic expectations earn lower subsequent returns. At the same time, corporate managers have more information about their own firms than investors have, and can use that informational advantage by issuing fresh stock, Binsbergen and his co-authors note.

The Opportunity to Profit

Comparing analysts earnings expectations with the benchmarks provided by the machine-learning algorithm reveals the degree of analysts biases, and the window of opportunity it opens. Binsbergen explained how investors could profit from their machine-learning model. With our machine-learning model, we can measure the mistakes that the analysts are making by taking the difference between what theyre forecasting and what our machine-learning forecast estimates, he said.

We can measure the mistakes that the analysts are making by taking the difference between what theyre forecasting and what our machine-learning forecast estimates. Jules H. van Binsbergen

Using that arbitrage opportunity, investors could short-sell stocks for which analysts are overly optimistic, and book their profits when the prices come down to realistic levels as the earnings announcement date approaches, said Binsbergen. Similarly, they could buy stocks for which analysts are overly pessimistic, and sell them for a profit when their prices rise to levels that correspond with earnings that turn out to be higher than forecasted, he added.

Binsbergen identified two main findings of the latest research. One is how optimistic analysts are substantially over time. Sometimes the bias is higher, and sometimes it is lower. That holds for the aggregate, but also for individual stocks, he said. With our method, you can track over time the stocks for which analysts are too optimistic or too pessimistic. That said, there are more stocks for which analysts are optimistic than theyre pessimistic, he added.

The second finding of the study is that there is quite a lot of difference between stocks in how biased the analysts are, said Binsbergen. So, its not that were just making one aggregate statement, that on average for all stocks the analysts are too optimistic.

Capital-raising Window for Corporations

Corporations, too, could use the machine-learning algorithms measure for analysts biases. If you are a manager of a firm who is aware of those biases, then in fact you can benefit from that, said Binsbergen. If the price is high, you can issue stocks and raise money. Conversely, if analysts negative biases push down the price of a stock, they serve as a signal for the firm to avoid issuing fresh stock at that time.

When analysts biases lift or depress a stocks price, it implies that the markets seem to be buying the analysts forecasts and were not correcting them for over-optimism or over-pessimism yet, Binsbergen said. With the machine-learning model that he and his researchers have developed, you can have a profitable investment strategy, he added. That also means that the managers of the firms whose stock prices are overpriced can issue stocks. When the stock is underpriced they can either buy back stocks, or at least refrain from issuing stocks.

For their study, the researchers used information from firms balance sheets, macroeconomic variables, and analysts predictions. They constructed forecasts for annual earnings that are a year and two years ahead for annual earnings; similarly, they used forecasts that were one, two and three quarters ahead for quarterly earnings. With the benchmark expectation provided by their machine-learning algorithm, they then calculated the bias in expectations as the difference between the analysts forecasts and the machine-learning forecasts.

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How to Beat Analysts and the Stock Market with Machine Learning - Knowledge@Wharton

IONE, CA, Oct. 13, 2020 (GLOBE NEWSWIRE) -- Purebase Corporation (OTCQB: PUBC), a diversified resource company, headquartered in Ione, California, today announces that Dr. Newell Washburn, PhD, whom is an expert on machine learning and cheminformatics applied to complex materials applications has agreed to join the Purebase Advisory Board.

Dr. Washburn joins Dr. Karen Scrivener, PhD, Dr. Kimberly Kurtis, PhD, and Mr. Joe Thomas as part of the Purebase Advisory Board team that will provide expert guidance in the development and execution of Purebases rollout of next-generation, carbon emission reducing, supplementary cementitious materials (SCMs).

Purebases Chairman and CEO, Scott Dockter stated, We look forward to Dr. Washburn joining our team. He will be an asset and great resource as his primary focus is the use of data-driven approaches to formulate cementitious binders with high SCM content and to design chemical admixture systems for the broad deployment. In addition, his partnering with a broad range of chemical admixture and cement companies and the ARPA-E program in the Department of Energy. We are looking forward to working with him.

Newell R. Washburn, PhD is Associate Professor of Chemistry and Engineering at Carnegie Mellon University and CEO of Ansatz AI. Professor Washburn co-founded Ansatz AI to commercialize the hierarchical machine learning algorithm he and his collaborators developed at CMU for modeling and optimizing complex material systems based on sparse datasets. The company is currently working with clients in the US, Europe, and Japan on using chemical and materials informatics in product development and manufacturing. Professor Washburn received a BS in Chemistry from the University of Illinois at Urbana-Champaign, performed doctoral research at the University of California (Berkeley) on the solid state chemistry of magnetic metal oxides, and then did post-doctoral research in chemical engineering at the University of Minnesota (Twin Cities).

About Purebase Corporation

Purebase Corporation (OTCQB: PUBC) is a diversified resource company that acquires, develops, and markets minerals for use in the agriculture, construction, and other specialty industries.

Contacts

Emily Tirapelle | Purebase Corporation

emily.tirapelle@purebase.com,and please visit our corporate website http://www.purebase.com

Safe Harbor

This press release contains statements, which may constitute forward-looking statements within the meaning of the Securities Act of 1933 and the Securities Exchange Act of 1934, as amended by the Private Securities Litigation Reform Act of 1995. Those statements include statements regarding the intent, belief, or current expectations of Purebase Corporation and members of its management team as well as the assumptions on which such statements are based. Such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, and that actual results may differ materially from those contemplated by such forward-looking statements. Important factors currently known to management that may cause actual results to differ from those anticipated are discussed throughout the Companys reports filed with Securities and Exchange Commission which are available at http://www.sec.gov as well as the Companys web site at http://www.purebase.com. The Company undertakes no obligation to update or revise forward-looking statements to reflect changed assumptions, the occurrence of unanticipated events or changes to future operating results.

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Purebase Enhances Its Board of Advisors with An Expert on Machine Learning and Cheminformatics - GlobeNewswire

These would affect all aspects of HR functions such as the way HR professionals on-board and hire people, and the way they train them

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October12, 20204 min read

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Artificial intelligence (AI) is changing all aspects of our lives and that too at a rapid pace. This includes our professional lives, too. Experts expect that in the days ahead, AI would become a greater part of our careers as all companies are moving ahead with adopting such technology. They are using more machines that use AI technology that would affect our daily professional activities. Soon enough, we would seemachine learning and deep learning in HRtoo. It would affect all aspects of HR (human resources) such as the way HR professionals on-board and hire people, and the way they train them.

Impact on onboarding and recruitment

These days, companies are usingrobotics in HRto make sure they have found the right people for particular job profiles. This means that even before you have stepped into your new office, your company already knows that you are the best person for the job thanks to such technology. They are using AI to pre-screen candidates before they invite the best candidates for interviews. This especially applies to large companies that offer thousands of new jobs each year and where millions of applicants go looking for jobs.

Impact on training on the job

Companies are also usingmachine learning and deep learning in HRto help provide on-the-job training to employees. Just because you have landed a job and settled in it, it does not mean that you know it all. You need to get job-related training so you can keep getting better. This is where experts expect that AI would play a major role in the coming years. It will also help one generation of professionals in an organization transfer its skills to its successors. This will make sure that no company would ever suffer from skill gaps.

Workforce augmentation

Robotics in HRwill play a major role in improving the people working in organizations where the management implements such technology. A major reason why people are so apprehensive about using AI in an organization is that they feel it would replace them and do all that they can do now. This will consequently lead to job losses. However, in the present scenario, AI is all about augmenting such a workforce. This means that it would help you perform your job with greater efficiency. Contrary to popular opinion, it would not replace you.

Workplace surveillance

Companies can also usemachine learning and deep learning in HRto improve their workforce surveillance work. This is uncomfortable for several employees as they feel that such technology would encroach on their workplace privacy. Gartner recently did a survey where it found that more than half of the companies that had a yearly turnover over $750 million use digital tools to get data on the activities of their employees and monitor their overall performance. As part of this, they analyze their emails to find out how engaged and content they are with their work.

Usage of workplace robots

Apart fromrobotics in HR,companies these days are also using physical robots that can move around on their own. This is especially true for the warehousing and manufacturing companies. Experts expect that soon this would become a common feature in a lot of other workplaces too. Companies specializing in mobility are creating delivery robots that can move around the workplace and deliver items straight to your desk. Tech companies are also developing security robots. Experts believe they would become commonplace because they can assure the safety of commercial properties from trespassers. Companies are also developing software to help you park your cars in your office.

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Robotic Interviews, Machine Learning And the Future Of Workforce Recruitment - Entrepreneur