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Research by Ping An Healthcare Technology Research Institute and Tsinghua University has led to a promising deep learning framework for drug discovery, announced Ping An Insurance (Group) Company of China, Ltd. (hereafter "Ping An" or the "Group", HKEX: 2318; SSE: 601318). The findings were published in "An effective self-supervised framework for learning expressive molecular global representations to drug discovery" in Briefings in Bioinformatics, a peer-reviewed bioinformatics journal. It marks a major technology breakthrough for the Group in the field of AI-driven pharmaceutical research. Drug discovery can take 10 to 15 years from invention to market. It can take a large number of experiments, with significant costs and high failure rates.

Content delivery platform provider Akamai announced Wednesday platform security enhancements intended to increase cybersecurity protections for web applications, APIs and user accounts. Akamai said its machine learning algorithms leverage insights from a dataset of over 1.3 billion daily client interactions to automate threat detections, time-consuming tasks and security logic to help cybersecurity analysts make better decisions faster. The company said it is taking these steps to keep up with attackers who are using AI, machine learning and automation to increase the frequency and sophistication of their attacks. "At Akamai, our latest platform release is intended to help resolve the tension between security and ease of use, with key capabilities around automation and machine learning specifically designed to intelligently augment human decision-making," said Aparna Rayasam, Akamai's senior vice president and general manager for Application Security, in a press release. "Smart automation adds immediate value and empowers users with the right tools to generate insight and context to make faster and more trustworthy decisions ... while anticipating what attackers might do next."

Artificial Intelligence in Fintech Market Size and Forecast 2021-2028 by Verified Market Research specialize in market strategy, market direction, expert opinions, and knowledgeable insight into the global market. The report is a combination of critical information including the competitive landscape; global, regional, and country-specific market size; Market participants; Market growth analysis; Market share; Analysis of opportunities, recent developments, and growth in segmentation. The report also provides other information and thoughtful facts such as historical data, sales, revenue and global market share of Artificial Intelligence in Fintech, product scope, market overview, opportunities, driving force and market share of Artificial Intelligence in Fintech. One of the important factors that make this report interesting is its comprehensive overview of the industry's competitive landscape. The report includes upstream raw materials and downstream needs analyses.

This partnership will allow PSNC to use and contribute data to train algorithms that can be used by hospitals and research centers worldwide to identify and detect circulating cancer cells in patients' blood or tissue biopsies in the upcoming future. Collective Learning Module, distributed parties can work together to train machine learning models using blockchain technology and AI learning capabilities without sharing the underlying data or trusting any of the individual participants. It was most recently deployed to identify COVID-19 cases using chest X-ray images establishing a clear distinction between COVID-19 versus pneumonia cases. The collective learning protocol successfully distinguished COVID-19 patients from those with pneumonia from different causes with an accuracy of 97%. As a part of this initiative, Fetch.ai's

COLLEGE STATION, TX / ACCESSWIRE / June 7, 2021 / Enzolytics, Inc. (OTC PINK:ENZC) (https://enzolytics.com/) has announced a coherent protocol that it intends to execute to meet the Company's objective of producing a therapeutic cure for HIV as well as a planned protocol to address existing and future pandemics. This protocol has been defined as a result of the Company's collaboration with Intel Corporation in the field of applying computer analysis (Artificial Intelligence - A.I.) to accelerate health care discoveries and development. This collaboration includes exploring the interaction of monoclonal antibodies with viruses in 3-dimensional matrices. This opens new innovative pathways for drug discovery and development. The Company is actively exploring biotech partnerships, in the same way the Company is working with Intel Corporation, to advance and provide effective therapies and cures for existing and new viral illnesses. In combination with the Company's patented and clinically tested anti-HIV peptide ITV-1, the Company proposes a collaboration to fully implement the following protocol for developing and deploying therapeutics to address existing and future pandemics.

Global analytics software provider, FICO, today announced its upcoming executive LinkedIn Live video series, "Coffee with Claus" and "Expect the Unexpected." Hosted by FICO Executive Vice President and Chief Technology Officer, Claus Moldt, "Coffee with Claus" will discuss the role of analytics and artificial intelligence in digital transformation, while "Expect the Unexpected" will feature FICO Chief Analytics Officer Scott Zoldi exploring a range of AI topics, such as ethics, governance, diversity, and regulation, with executive leaders. Many of today's enterprises rely on data, and further AI, to deliver a constant stream of intelligence and insight that can be applied to help them pivot in constantly changing business environments as well as address pressing everyday challenges. "With the COVID-19 pandemic accelerating countless digital transformation journeys, our goal is to ensure enterprises are deploying the data at their disposal in the most beneficial ways, some of which include a need to adopt AI to make robust and informed digital decisions," said Claus Moldt, EVP and CTO at FICO. The first episode of "Coffee with Claus," What is an AI Platform?, airs Tuesday, June 22, 2021 at noon EST and features Forrester Analyst Mike Gualtieri.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, today launched out of stealth to build the next generation of self-driving technology. Waabi's innovative approach unleashes the power of AI to'drive' safely in the real world, bringing the promise of self-driving closer to commercialization than ever before. Waabi also announced today a $83.5-million (USD) Series A financing with backing from best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. The round, which is among the largest Series A rounds ever raised in Canada, was led by Khosla Ventures with additional participation from Uber, Radical Ventures, 8VC, OMERS Ventures, BDC Capital's Women in Technology Venture Fund (WIT), Aurora Innovation Inc., AI luminaries Geoffrey Hinton, Fei-Fei Li, Pieter Abbeel, Sanja Fidler and others. AI and self-driving pioneer Raquel Urtasun is the founder and CEO of Waabi.

WIRE)--Airbus Ventures announces its latest investment in Telexistence, Inc., a leading innovator in remote-controlled robotics with artificial intelligence that has closed a $20M Series A-2 financing round led by a group company of Monoful Inc. and comprising additional funds from KDDI, Deepcore, UTokyo IPC, and multiple new investors. Telexistence has raised about $41 million to date, since the company's inception in 2017. "As we rethink and transform the basic meaning of'existence,' we are actively expanding our in-house engineering team, accelerating product development, and upscaling deployment to the company's growing customer base in offline retail and logistics," explains Jin Tomioka, Telexistence CEO and co-Founder. "This funding signals a new chapter, and we are excited to welcome new partners, still more grateful than ever for Airbus Ventures, our lead Series A investor in 2018, and their mentorship and dedication to our mission." Materializing a vision of a more connected humanity interacting and evolving across multiple spatial and temporal scales, Telexistence releases humans from physical constraints utilizing Telexistence technology, robotics, telecommunication, VR, haptics, and AI.

The companyOutrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider's mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, and other top-tier investors. For more information, visit www.outrider.ai