DeepMind, the AI technology company that's part of Google parent Alphabet, has achieved a significant breakthrough in AI-based protein structure prediction. The company announced today that its AlphaFold system has officially solved a protein folding grand challenge that has flummoxed the scientific community for 50 years. The advance inn DeepMind's AlphaFold capabilities could lead to a significant leap forward in areas like our understanding of disease, as well as future drug discovery and development. The test that AlphaFold passed essentially shows that the AI can correctly figure out, to a very high degree of accuracy (accurate to within the width of an atom, in fact), the structure of proteins in just days – a very complex task that is crucial to figuring out how diseases can be best treated, as well as solving other big problems like working out how best to break down ecologically dangerous material like toxic waste. You may have heard of'Folding@Home,' the program that allows people to contribute their own home computing (and formerly, game console) processing power to protein folding experiments. That massive global crowdsourcing effort was necessary because using traditional methods, portion folding prediction takes years and is extremely expensive in terms of straight cost, and computing resources.

DeepMind, the AI technology company that's part of Google parent Alphabet, has achieved a significant breakthrough in AI-based protein structure prediction. The company announced today that its AlphaFold system has officially solved a protein folding grand challenge that has flummoxed the scientific community for 50 years. The advance inn DeepMind's AlphaFold capabilities could lead to a significant leap forward in areas like our understanding of disease, as well as future drug discovery and development. The test that AlphaFold passed essentially shows that the AI can correctly figure out, to a very high degree of accuracy (accurate to within the width of an atom, in fact), the structure of proteins in just days – a very complex task that is crucial to figuring out how diseases can be best treated, as well as solving other big problems like working out how best to break down ecologically dangerous material like toxic waste. You may have heard of'Folding@Home,' the program that allows people to contribute their own home computing (and formerly, game console) processing power to protein folding experiments. That massive global crowdsourcing effort was necessary because using traditional methods, portion folding prediction takes years and is extremely expensive in terms of straight cost, and computing resources.

SANTA CLARA, CALIF., Nov. 30, 2020 – ServiceNow (NYSE: NOW) today announced it has signed an agreement to acquire Element AI, a leading artificial intelligence (AI) company with deep AI capabilities and some of the world's brightest AI minds. Element AI will significantly enhance ServiceNow's commitment to build the world's most intelligent workflow platform, enabling employees to work smarter and faster, streamline business decisions, and unlock new levels of productivity. A pioneer in the AI industry, Element AI has world‑class scientists and practitioners who will bring expertise in applying modern AI to text and language, chat, images, search, question response, and summarization and will accelerate AI innovation natively in the Now Platform. Element AI Co‑founder and Lead Fellow, Dr. Yoshua Bengio, a winner of the 2018 ACM A.M. Turing Award for his pioneering contributions to modern AI, will serve as a technical advisor for ServiceNow. With the acquisition of Element AI, ServiceNow will create an AI Innovation Hub in Canada to accelerate customer‑focused AI innovation in the Now Platform. The new investment deepens ServiceNow's commitment to the Canadian market, which has long been a leader in AI research and represents one of the world's most significant locations for AI talent.

For the first 125 years of medical imaging, technological advances focused primarily on new modes of imaging as technology progressed from the discovery of the X-ray in 1895 to ultrasounds, MRIs, PET and CT scans in the late 20th century. Now, arguably, the most notable advances are being made in how images from those technologies are securely shared, managed, stored and assessed. These advancements are largely due to the application of artificial intelligence (AI) and machine learning (ML) to imaging systems and data platforms. Automation is improving virtually every stage of the imaging workflow, but there is a lot of hype concerning AI and ML in the marketplace. Companies have underestimated the challenge that complexity presents, and predictions of the end of radiologists have proven false multiple times.

Agfa announced the launch of its SmartXR portfolio at RSNA, being held virtually. SmartXR uses a unique combination of hardware and AI-powered software to lighten radiographers' workloads and provide image acquisition support. This newest member of Agfa's DR portfolio offers key assistance during the radiology routine, which has proven to be very important during the COVID-19 crisis, as well as beyond. The SmartXR portfolio brings intelligence to digital radiography (DR) equipment at the point of care. Integrated sensors and cameras combined with powerful AI software, 3D machine vision, deep learning and machine intelligence, support the radiographer with first-time-right image acquisition.

Chinese tech giants Baidu Inc. and Huawei Technologies Co. Ltd. announced today that they're teaming up to build an open artificial intelligence ecosystem for mobile devices. The two companies said they want to create platform that fosters the development of mobile AI that "knows you better." The new ecosystem will combine Baidu Brain, which is the catch-all term for Baidu's various AI tools, with Huawei's HiAI mobile computing platform. The project will also take advantage of the AI-focused hardware components that Huawei installs in its latest smartphone models. "The future is all about smart devices that will actively serve us, not just respond to what we tell them to do," Richard Yu (pictured, right), chief executive of Huawei's Consumer Business Group, said in a statement.

Artificial Intelligence Technology Solutions, Inc. (OTCPK:AITX) today announced that its wholly-owned subsidiary Robotic Assistance Devices (RAD) has received an order from a global top 20 medical devices company with over 50,000 employees for what RAD expects as the first of several Wally HSO (Health Screening Option) units to be deployed at one of the client's manufacturing facilities. Wally HSO is a self-contained, artificial intelligence-driven security, concierge and health screening solution capable of performing touchless temperature assessments on personnel entering a facility. Wally HSO is also designed to detect and document those wearing, and not wearing a face mask as they enter a facility. If the user's temperature is outside of the acceptable range, Wally HSO will not allow entry, the incident is digitally documented, and the unit will provide further instructions either audibly or visually which may include summoning an on-site, or remote security guard. Wally HSO mounts easily on a wall in a lobby or a building entrance and does not require any networking resources or installation and instead connects to the cloud via an enhanced cellular connection or WiFi.

BEGIN ARTICLE PREVIEW: Teleoperated Robots, in recent years, have come to prominence in various spheres of applications like space, underwater exploration, military, and more.  Worldwide sales of service robotics exceeded $17 billion (approx £13 billion) in 2019, and this rapid and exponentially growing market is forecast to top $55 billion (approx £41 billion) by 2023, according to the International Federation of Robotics (IFR.org) These robots are used in two scenarios – First, in situations where it is unsafe to place a human and secondly when it is hard to program a robot to autonomously perform complex tasks. Right now, there are lots of firms working on it, and one notable startup is Extend Robotics.  Human-like, VR-controlled robotics arm at low cost Recently, Extend Robotics, UK-based tech company announced the launch of its low-cost, human-like, virtual-reality (VR)-controlled robotics arm. As per the robotic SaaS company, it has use cases in

Moscow, Russia, 2020-Nov-27 -- /Travel PR News/ -- Sergei Konyakhin, Director of the Production Modeling Department of JSC Sheremetyevo International Airport, gave a presentation at the Artificial Intelligence Systems 2020 on November 24 conference showing how Sheremetyevo International Airport uses artificial intelligence (AI) systems to effectively manage the airport. The conference was part of the online forum TAdviser Summit 2020: Results of the Year and Plans for 2021. The discussion among of top managers of large companies and leading experts in the IT industry centered on issues related to the implementation of artificial intelligence technologies in the activities of Russian enterprises. Sheremetyevo Airport has developed and implemented systems for automatic long-term and short-term planning of personnel and resources. As a result, the planning system was calibrated based on real processes and its previous weaknesses were eliminated; recommendation systems were implemented allowing dispatchers to manage resources taking into account future events; and the company was able to significantly optimize expenses.

Artificial Intelligence Technology Solutions, Inc. announced that its wholly-owned subsidiary Robotic Assistance Devices (RAD) has received an order from a global top 20 medical devices company with over 50,000 employees for what RAD expects as the first of several Wally HSO (Health Screening Option) units to be deployed at one of the client's manufacturing facilities. Wally HSO is a self-contained, artificial intelligence-driven security, concierge and health screening solution capable of performing touchless temperature assessments on personnel entering a facility. Wally HSO is also designed to detect and document those wearing, and not wearing a face mask as they enter a facility. If the user's temperature is outside of the acceptable range, Wally HSO will not allow entry, the incident is digitally documented, and the unit will provide further instructions either audibly or visually which may include summoning an on-site, or remote security guard. Wally HSO mounts easily on a wall in a lobby or a building entrance and does not require any networking resources or installation and instead connects to the cloud via an enhanced cellular connection or WiFi.