Toronto, Canada, November 11, 2022 – Datametrex AI Limited (the "Company" or "Datametrex'') (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) announces that the Company has cancelled an aggregate of 13,000,000 incentive stock options ("Options") issued pursuant to its stock option plan on January 25, 2022. The Options were granted to certain officers, directors, employees, and consultants of the Company, and had an exercise price of $0.19 and expiry date of January 25, 2024. The Options were voluntarily surrendered by the holders for no consideration. Datametrex AI Limited is a technology-focused company using artificial intelligence (AI) to create progressive solutions for the cyber security, telehealth, and electric vehicle (EV) verticals. Datametrex' mission is to provide tools that support companies in fulfilling their operational goals with predictive and preventive technologies.

KAOHSIUNG, Taiwan--(BUSINESS WIRE)--At the Grand Finale of X-PITCH 2022 held on November 10, fifteen finalists selected from more than 4,000 startups in 51 countries showcased their business in front of hundreds of guests in the Metaverse powered by Venu. 10 startups emerged as award winners and the top 3 startups will receive US$1 million investment in total. "As the X Games for Startups, we try something new and exciting every year. In past competitions, we've done it in high-speed elevators and self-driving cars. This year, the local semi-finals were played on the Kaohsiung Light Rail. In today's finals, we came to the Metaverse. This is an unprecedented experience for all of us."

Detroit, Michigan, Nov. 02, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence Technology Solutions, Inc., (the Company) (OTCPK:AITX), has announced that on October 28, 2022 it issued a $4 million note to its largest single investor thereby securing a loan that matures in 4 years, bears interest at 15% per annum, has an original issue discount of $500,000, provides cash proceeds to the Company of $3.5 million, and includes warrants to acquire additional preferred equity shares (the "Fundraise"). The net effect of the Fundraise does not materially affect the Company's common stock shareholders or common shareholders' equity percentage since Steve Reinharz, AITX Founder and CEO, has effectively reduced his stake by approximately 20% (from fully diluted ownership of 65% to 54%) to achieve the funding without any further dilution to common shareholders. Steve Reinharz commented, "My commitment has always been to make AITX along with its RAD subsidiaries the dominant player in the evolving #proptech industry, which we feel we helped write the book on. This funding is crucial to the Company and will allow us to continue to grow while adding potential value to all stakeholders." Reinharz continued, "Certainly, I don't love reducing my overall stake, but the way this deal issues preferred shares and doesn't affect common shareholders, is a significant demonstration of my commitment to the Company's mission and to our shareholders."

Most businesses intend to support a hybrid workplace in the ever-changing work environment of the twenty-first century. Maintaining a hybrid workplace is the most effective way to stay competitive in the labor market and attract and retain the most talented professionals. This has been a disruptive change for companies and has reshaped the way enterprises have traditionally operated. It involves never-before-seen challenges, such as a shift in organizational culture, adopting new digital technologies, and developing new work strategies to ensure that business objectives are met on time. Frost & Sullivan's latest white paper, "The Hybrid Workplace is Here to Stay: Are You Ready?", discusses the key factors a company must consider to successfully adapt to a hybrid work environment.

NLP Logix, an artificial intelligence and machine learning solutions company, today announced it's partnership and inclusion into the Beeline ecosystem. Beeline customers will be able to leverage NLP Logix's task automation solutions to drive even greater efficiencies. Beeline is the leading technology solution provider for managing the global extended workforce. "NLP Logix's AI tools can eliminate repetitive tasks, allowing the contingent workforce to offer even more value." "Beeline's mission is to optimize the contingent workforce in every way and partnering with NLP Logix will add another layer to this optimization," said Doug Leeby, Beeline CEO.

The University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) demonstrated its autonomous car in live traffic on Kirchberg today, Thursday 3 November 2022. This represents the first time a single-family autonomous car has joined the flow of traffic in Luxembourg with members of the public as passengers. This autonomous car is the test platform for navigation technologies and high definition (HD) maps being researched at SnT's 360Lab. The demonstration is the culmination of five years of research work by the 360Lab team, led by Prof. Raphaël Frank. The 360Lab is the first thematic research laboratory focusing on smart mobility in the country, and it serves as an umbrella to conduct strategic and collaborative research in the broader area of mobility innovation.

Acute kidney injury (AKI) is common in patients in intensive care units, and predicting which patients are at risk can help clinicians take appropriate preventive measures. Investigators recently developed an artificial intelligence–based model to help make such predictions. The research will be presented at ASN Kidney Week 2022 November 3–November 6. Among 16,785 adults admitted to the intensive care unit in 2015–2020 in Taichung Veterans General Hospital, 30% developed AKI. An artificial intelligence–based AKI prediction model based on these patients' data (21 features including urine trend and serum creatine) was validated in patients from 4 other medical centers (2,874, 10,758, 12,299, and 12,483 patients, respectively, with a wide range of AKI incidence of 24.9–67.2%).

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, and text. This post is the second in a series on the new built-in algorithms in SageMaker. In the first post, we showed how SageMaker provides a built-in algorithm for image classification.

Dr. Vivek Madan is an Applied Scientist with the Amazon SageMaker JumpStart team. He got his PhD from University of Illinois at Urbana-Champaign and was a Post Doctoral Researcher at Georgia Tech. He is an active researcher in machine learning and algorithm design and has published papers in EMNLP, ICLR, COLT, FOCS and SODA conferences. João Moura is an AI/ML Specialist Solutions Architect at Amazon Web Services. He is mostly focused on NLP use-cases and helping customers optimize deep learning model training and deployment. He is also an active proponent of low-code ML solutions and ML-specialized hardware. Dr. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker built-in algorithms and helps develop machine learning algorithms. He got his PhD from University of Illinois Urbana Champaign. He is an active researcher in machine learning and statistical inference and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.

We revealed that the redox cofactor preference of malic enzymes can be strikingly converted by applying phylogenetic analysis to machine learning, without experimental screening. This method can predict mutation positions and candidate amino acids that affect substrate specificity, which is challenging to infer solely from the crystal structures. Machine learning uses the structurally homologous but functionally distinct enzymes' amino acid sequences as input datasets to efficiently navigate toward the target function, and potentially provide new fundamental insights into enzyme–substrate specificity. Osaka, Japan – You can't expect a pharmaceutical scientist to switch labs to the facilities available in a television studio and expect the same research output. Enzymes behave exactly the same.