Antenna tasking, equipment monitoring, and communications optimization are all being improved through continuous machine-to-machine learning protocols …

What happens when artificial intelligence (AI) is integrated into your grooming routine? You get a shave personalized to your preferences and the features of your face that are wholly unique. Introducing the Philips Norelco Shaver Series 9000, the latest innovation from the world's #1 electric shave and groom brand that features a revolutionary pairing of AI and the connected Philips GroomTribe app to deliver the ultimate smart shaving experience. Philips Norelco Shaver Series 9000 delivers superior closeness* and personalized skin comfort even on five-day beards. "Philips Norelco pioneered artificial intelligence in electric shavers with the debut of Philips Norelco Shaver Series 7000 in January 2021," said Brett Bardsley, Philips Norelco Marketing Director.

Sometimes, two things just go together, such as peanut butter and jelly or, in the case of Boston-based startup Predilytics, machine learning and health care. The company announced on Tuesday afternoon it has closed a $6 million Series A round with investment from Flybridge Capital Partners, Highland Capital Partners and Google Ventures. It's not the first application of big data to health care, and it certainly won't be the last, but it's application of machine learning to health care providers' administrative data might be unique. As we've reported before, health care is a major focus for big data companies and data scientists because there's so much data involved and the problems are so heavy. The right analytic tools could end up saving lives or saving billions of dollars in an industry where just about everyone agrees that costs are out of control.

DataRobot, a startup enabling enterprise AI development and deployment, today announced the launch of DataRobot AI Cloud for Industries, a comprehensive platform that unites AI capabilities with sector-specific best practices, integrations, and partnerships for enterprises across major industries. Back in September, DataRobot unveiled the DataRobot AI Cloud as a unified platform to accelerate the delivery of AI to production. The new end-to-end solution builds on that and provides enterprises the ability to use AI to streamline their operations, accelerate growth opportunities, solve challenges, and manage risk as they deliver services. The development comes as industry clouds become an emerging trend in the enterprise technology space owing to the need for sector-specific tools. Even Microsoft has announced cloud for retail, manufacturing, finance, health, and nonprofits.

LOS ALAMOS, N.M., Nov. 10, 2021--Researchers at Los Alamos National Laboratory are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the new algorithms will improve earthquake detection. "Applying machine learning to InSAR data gives us a new way to understand the physics behind tectonic faults and earthquakes," said Bertrand Rouet-Leduc, a geophysicist in Los Alamos' Geophysics group. New satellites, such as the Sentinel 1 Satellite Constellation and the upcoming NISAR Satellite, are opening a new window into tectonic processes by allowing researchers to observe length and time scales that were not possible in the past. However, existing algorithms are not suited for the vast amount of InSAR data flowing in from these new satellites, and even more data will be available in the near future. In order to process all of this data, the team at Los Alamos developed the first tool based on machine learning algorithms to extract ground deformation from InSAR data, which enables the detection of ground deformation automatically--without human intervention--at a global scale.

WIRE)--Imtiaz Adam joins Marktechpost as an Advisory Board Member. Imtiaz Adam (MBA, MSc) is a leading AI influencer and hybrid Data Science and business strategy specialist. Imtiaz is the founder of an AI startup, Deep Learn Strategies Limited (DLS). Imtiaz has been a speaker at major events such as during the WEF at Davos where he spoke at a panel on AI. He is a Sloan Fellow in Strategy from London Business School with an EMBA exchange at Columbia Business School.

For too long, people with speech impairments have struggled to be understood not only by other people, but also by voice-based technology. Though some companies have started to make their products work better for people with atypical speech, the most prevalent services still don't hear them well. Google announced today that it's made a new Android app called Project Relate that could help people with speech impairments communicate more easily with others and the Assistant. It's looking for beta testers to test and improve the app starting today. Like product manager for Google Research Julie Cattiau said in a video, "standard speech recognition doesn't always work as well for people with atypical speech because the algorithms have not been trained on samples of their speech."

The draft text, presented today by the rapporteur, says that the public debate should shift towards a focus on the enormous potential of AI, which offers humankind the unique chance to improve almost every area of our lives. AI could help combat climate change, pandemics and global hunger, and enhance quality of life through personalised medicine. According to the draft document, AI can substantially increase productivity, innovation, growth and job creation. The EU should not regulate AI as a technology; instead, the type, intensity and timing of regulatory intervention should solely depend on the type of risk associated with a particular use of an AI system. The text warns that the EU is currently falling behind in the global tech race that will determine the future political and economic global power balance.

Airbnb is making it easier for international travelers to book their stays just as the U.S. reopens its borders to foreign travelers. The short-term rental platform is introducing a translation engine that will automatically translate reviews and listing descriptions in over 60 languages. The feature is set to launch before the end of the year. "Translation Engine improves the quality of more than 99% of Airbnb listings," the company said in a Tuesday news release. "Translation Engine uses millions of Airbnb data points to improve translations, so it will get even smarter over time as it learns from new content that's submitted."

Toronto, Ontario--(Newsfile Corp. - November 9, 2021) - Datametrex AI Limited (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) (the "Company" or "Datametrex") is pleased to announce that it has received further Purchase Orders ("P.O.") for approximately $750,000 CAD from LOTTE Data Communication Co., Ltd. and LOTTE Hi-Mart Co., Ltd. The P.O. from SHINHAN is for CronMind, an integrated management tasking system that provides job performance results analysis. "As Datametrex continues to keep pace with the global AI transformation, we are pleased that its artificial intelligence systems are being employed by some of Korea's largest conglomerates," stated Andrew Ryu, Chairman of Datametrex. LOTTE Group is the fifth largest conglomerate in Korea with annual revenues of approximately $60 billion USD consisting of over 90 business divisions. LOTTE is engaged in diverse industries that include hotels, resorts, fast food, beverages, retail, financial services, heavy chemicals, electronics, IT, construction, publishing, confectionary products, and entertainment.