New Jersey, NJ---- 07/14/2022-- The Global Artificial Intelligence in Insurance Market Report assesses developments relevant to the insurance industry and identifies key risks and vulnerabilities for the Artificial Intelligence in Insurance Industry to make stakeholders aware with current and future scenarios. To derive complete assessment and market...

BOSTON, July 14, 2022 (GLOBE NEWSWIRE) -- juli, the AI-powered digital health platform that delights and engages consumers to power their own health while offering their healthcare providers insights from sub-episodic health data, announced the formation of an advisory board packed with digital health luminaries. Launched more than a year ago, juli helps people manage complex chronic conditions by aggregating and analyzing data from EMRs, smartphones, wearables, the environment, and patient-reported data. By applying AI to these disparate data sources, juli identifies previously unseen correlations and encourages micro-behavioral changes in users that can help alleviate conditions such as depression, bipolar disorder, asthma, migraine, and chronic pain. Joe Kvedar, MD - Professor at Harvard Medical School and digital health pioneer, Kvedar is also Editor in Chief of Nature's npj Digital Medicine and just completed his term as Chair of the Board for the American Telemedicine Association. Kristen Valdes - Founder and CEO of b.well Connected Health, the digital transformation platform, and a former UnitedHealthcare executive, Valdes has over 20 years' experience making healthcare data more easily interoperable with less friction for health plan members and consumers, including as a board member of the CARIN Alliance.

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Meta has announced that it has built and open-sourced'No Language Left Behind' NLLB-200, a single Artificial Intelligence (AI) model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results. Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia. In an effort to develop high-quality machine translation capabilities for most of the world's low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective. AI models require lots and lots of data to help them learn, and there's not a lot of human-translated training data for these languages.

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TOKYO, July 12, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence Robots Market size was valued at USD 6,214 Million in 2021 and is expected to reach USD 66,662 Million by 2030 growing at a CAGR of 30.5% during the forecast period from 2022 to 2030. Human-robot interaction is becoming more common as robots make everyone's lives easier and more comfortable, and as a result, the market for AI robots is expanding. AI, or machine intelligence in robotic systems, is the implementation of AI technology into robots to allow them to perform repetitive tasks more efficiently without human intervention. AI also enables robots to communicate with other autonomous systems. For entrepreneurs, robotic systems will prove to be more effective and cost-effective labor.

"We believe that any company should be able to develop reliable operational ML applications and easily adopt real-time capabilities no matter the use case at hand or the engineering resources on staff. This new funding will help us further build and strengthen both Tecton's feature platform for ML and the Feast open source feature store, enabling organizations of all sizes to build and deploy automated ML into live, customer-facing applications and business processes, quickly and at scale," said Mike Del Balso, co-founder and CEO of Tecton. Tecton was founded by the creators of Uber's Michelangelo platform to make world-class ML accessible to every company. Tecton is a fully-managed ML feature platform that orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. The platform enables ML engineers and data scientists to automate the transformation of raw data, generate training data sets and serve features for online inference at scale.

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Acumen Research and Consulting recently published report titled "Artificial Intelligence in Manufacturing Market Size, Share, Analysis Report and Region Forecast, 2022 - 2030" BEIJING, July 11, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Manufacturing Market size accounted for USD 2,963 Million in 2021 and is estimated to reach USD 78,744 Million by 2030. The rising volume of complex data sets is the leading factor boosting the global artificial intelligence in manufacturing market revenue. Our worldwide artificial intelligence in manufacturing industry analysis suggests that the manufacturers require artificial intelligence (AI) in their facilities due to the surging need for enhanced productivity and automation. AI is being used by manufacturers to enhance day-to-day operations, introduce new products, personalize designs, and forecast future financials. According to an MIT survey, about 60% of industry players are already using artificial intelligence.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.