Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in accompanying clinical reports. The step is deemed a major advance in clinical AI design because most current AI models require laborious human annotation of vast reams of data before the labeled data are fed into the model to train it. A report on the work, published Sept. 15 in Nature Biomedical Engineering, shows that the model, called CheXzero, performed on par with human radiologists in its ability to detect pathologies on chest X-rays. The team has made the code for the model publicly available for other researchers. Most AI models require labeled datasets during their "training" so they can learn to correctly identify pathologies. This process is especially burdensome for medical image-interpretation tasks since it involves large-scale annotation by human clinicians, which is often expensive and time-consuming.

Toronto, Canada, September 16, 2022 – Datametrex AI Ltd. (the "Company" or "Datametrex'') (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) is pleased to announce that the Company is launching Smart Factory AI technology, which is based on AI, big data, and server automation operating system technologies. The Company is preparing for the first initial release in the United States with room for expansion internationally. Additionally, the Company has received Purchase Orders ("P.O") for approximately $200,000 CAD from various multinational companies including Lotte Data Communication Co., Ltd. The Smart Factory Manufacturing Market size is projected to reach USD 727 Billion by 2030, growing at a CAGR of 12%. The growth is greatly influenced by businesses able to minimize cost and labor of operations and manufacturing. In a recent survey, 75 percent (75%) of respondents say smart manufacturing would increase their company's competitiveness with increased productivity. Smart Factory Manufacturing simplifies company's needs by eliminating human error by utilizing ICT technologies which can streamline production and processing while maintaining sustainability, safety, and product quality. Smart Factories benefit manufactures by creating faster and more cost-efficient processes to get products made. Smart manufacturing improves productivity and engagement by making it easier for employees to communicate. Information can be personalized and customized to better align with the company's manufacturing goals. Digital information allows for better resource usage and optimizes operational plant performance. You get more data, faster. Real-time reporting creates better problem-solving solutions and improves productivity. The smart factory reduces human manual handling by leveraging automation. The factory becomes more efficient because production can be real-time responsive. Since smart manufacturing systems capture data automatically, businesses use data to increase safety and quality. You can customize automatic reporting structures and build quality control routines into the system. Easier and more-direct machine instructions, inline quality checks, and real-time monitoring can reduce the number of human errors to nearly zero. "The size of Smart Factory market is expected to grow more than 60% this year compared to 2020.

Identification of the human voice from different patterns, noises, tones can be the biggest task to achieve. Extracting meaning of the word in context with the sentence can slow down the growth of this market. Resistance in adoption by end-users due to high installation cost associated with these solutions and services is hindering growth of the natural language processing market. Currently, the natural language processing and artificial intelligence is experiencing emergence of various service providers and individual solution providers, which are posing healthy competition to other established service provider. Some major players in this market are Apple Inc., Google Inc., Hewlett-Packard Co, IBM Corp., Microsoft Corp., 3M Co., Dolbey System, Inc., Netbase Solutions Inc., SAS Institute Inc. and others.

Vancouver, Kelowna, and Delta, British Columbia--(Newsfile Corp. - September 15, 2022) - Investorideas.com, a leading investor news resource covering technology and AI stocks releases a special report covering the growth in AI technology utilization in the insurance industry, featuring FatBrain AI (LZG International Inc.) (OTC Pink: LZGI). AI technology utilization in insurance has been spurred partly by the changing work landscape caused by COVID-19 and businesses now adopting some form of remote work options as well as the general adoption of technology in the workplace and at home and how big data collection can work with AI to allow for more effective and customized insurance solutions. A recent article from Mkinsey.com titled "Insurance 2030-The impact of AI on the future of insurance" discussed how AI technology is currently impacting the insurance landscape as "AI's underlying technologies are already being deployed in our businesses, homes, and vehicles, as well as on our person. The disruption from COVID-19 changed the timelines for the adoption of AI by significantly accelerating digitization for insurers. Virtually overnight, organizations had to adjust to accommodate remote workforces, expand their digital capabilities to support distribution, and upgrade their online channels. While most organizations likely didn't invest heavily in AI during the pandemic, the increased emphasis on digital technologies and a greater willingness to embrace change will put them in a better position to incorporate AI into their operations."

NEEDHAM, Mass., September 12, 2022 – Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services for both AI centric and AI non-centric applications*, totaled $383.3 billion in 2021, an increase of 20.7% over the prior year, according to the most recent International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. IDC expects the AI market value will reach nearly $450 billion in 2022 and maintain a year-over-year growth rate in the high teens throughout the five-year forecast. "Across all industries and functions, end-user organizations are discovering the benefits of AI technologies, as increasingly powerful AI solutions are enabling better decision-making and higher productivity," said Rasmus Andsbjerg, associate vice president, Data & Analytics at IDC. "The reality is, AI offers solutions to everything we are facing at the moment. AI can be a source for fast-tracking digital transformation journeys, enable cost savings in times of staggering inflation rates and support automation efforts in times of labor shortages." AI Software again accounted for the largest share the overall AI market in 2021.

RIYADH:- The Kingdom of Saudi Arabia proudly announces its AI Ethics Principles for public consultation. They were designed by the Saudi Data and Artificial Intelligence Authority (SDAIA) to be a practical guide to incorporating AI ethics throughout the AI system development life cycle. AI Ethics principles recognize the importance of developing artificial intelligence and technology innovation into the Kingdom's services for its citizens and visitors. After analyzing global and domestic standards and guidelines for AI use, SDAIA has developed an operational framework that entities can use to promote AI while limiting the technology's irresponsible use. AI ethics will provide a common ground or standards to help the Kingdom avoid or reduce technology limitations.

Quanergy Systems, a leading provider of LiDAR sensors and smart 3D solutions, announced today that the company will partner with Fabrinet, a leading provider of advanced precision optical and electronic manufacturing services, for the production of Quanergy's LiDAR sensors. "LiDAR is revolutionizing how many businesses operate across the IoT and automotive industry. Fabrinet's global supply chain expertise, in-house failure analysis and reliability testing, and direct fulfillment result in the efficiency, dependability, timeliness and cost-effectiveness that Quanergy's customers need." Fabrinet is a trusted partner of the world's most demanding original equipment manufacturers (OEMs). Their proven track record of customer service, flexibility and skill in managing complex operations aligns with Quanergy's commitment to maintaining high quality and industry standards in manufacturing.

Dover, DE, Sept. 13, 2022 (GLOBE NEWSWIRE) -- Metatron Inc. (OTC Pink: MRNJ), a mobile and web technology pioneer having developed over 2,000 apps on iTunes and Google Play, is pleased to announce the Company is presently working to restructure corporate debt obligations in addition to the Company officially launching an Artificial Intelligence Application Division within Metatron, Inc. The Company is presently working in good faith with debt holders to consolidate, restructure and improve the Company's debt obligations. The more favorable terms and consolidation will assist the Company to improve and streamline the Company's balance sheet and financial reporting. Details of the restructuring will be announced upon final completion and execution. Having years of success in the mobile and web technology sectors, the Company views Artificial Intelligence (AI) as the unbridled beast of future technology growth.

New results from the PPMI Data Modeling Core reveal the power of digital health technologies to remotely detect motor symptoms of Parkinson's Disease Brain research and advocacy non-profit Cohen Veterans Bioscience (CVB) announces the publication of results from its digital health research program analyzing data from the Parkinson's Progression Markers Initiative (PPMI) to detect the presence or absence of Parkinson's disease (PD). PD is one of the most common and fastest growing neurological disorders that results in a progressive decline in both motor and non-motor (e.g., cognition and mood) symptoms. Since there are currently no objective biomarkers in PD, diagnosis is complicated and typically involves clinically administered subjective questionnaires to assess severity of symptoms, potentially leading to symptoms being undetected or misclassified. Sensor technology has shown promise in aiding in detection and classification of diseases like PD but have very limited validation in real-world settings. As part of the Parkinson's Progression Markers Initiative (PPMI) study cohort, investigators collected data passively and continuously using the Verily Study Watch in a subject's natural environment.

WASHINGTON, Sept. 12, 2022 (GLOBE NEWSWIRE) -- The growing demand for AI-powered services in the form of Application Programming Interface (API) and Software Development Kit (SDK) and the growing number of innovative start-ups are some of the factors anticipated to drive the market. The Global Market revenue was valued at USD 5.9 Billion in 2021. The Global Artificial Intelligence as a Service Market size is forecast to reach USD 52.8 Billion by 2028 and is expected to grow to exhibit a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period; states Vantage Market Research, in a report, titled "Artificial Intelligence as a Service Market Size, Share & Trends Analysis Report by Technology (Deep Learning, Machine Learning, Natural Language Processing), by Verticals (Government, Banking Financial Services & Insurance (BFSI), Healthcare, Manufacturing, Retail, Telecommunication), by Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) - Global Industry Assessment (2016 - 2021) & Forecast (2022 - 2028)". The banking, financial services, and insurance sectors experience significant expansion during the forecast period. A significant amount of client data or transaction records are produced due to the growing digital revolution in banking and the increased use of the mobile payment, e-banking, real-time money transfers, and mobile banking applications.