As machine learning becomes a more integral part of running businesses, the model-building process still requires iteration and experimentation. Comet has created an entire platform to get models from idea to product, and today the company announced a $50 million Series B. The investment comes on the heels of the company's $13 million A round in April. OpenView led the round with participation from existing investors Scale Venture Partners, Trilogy Equity Partners and Two Sigma Ventures. The company has now raised almost $70 million, according to Crunchbase data. Company co-founder and CEO Gideon Mendels said that the product works on any platform from a laptop to the cloud to an on-prem cluster.

IndyGeneUS AI (pronounced "indigenous", a South Africa Founder Institute portfolio company) opens its seed round with a $1.5M investment from South African based venture capital company IsimoVest Venture Capital Partners in addition to an undisclosed amount from a South African angel investor. Located in Cape Town, IsimoVest is a Pan-African venture capital company that specializes in early stage, high-potential technology ventures that will likely provide highly impactful corporate social investment solutions. As a cutting-edge investment firm, IsimoVest is dedicated to economically empowering communities for the benefit of Africans. To that end, the firm will support IndyGeneUS AI in establishing its sequencing facility in Cape Town and establishing local key strategic partnerships. IndyGeneUS AI is developing a Multiomic data analysis and management platform that can detect new signature sequences such as biomarkers or polygenic risk scores by integrating "omics" data, meta data and textual information such as Electronic Healthcare Record data.

The first quarter delivered home-sale profits that were more than twice as high as anticipated, the company said. Zillow expected to make money primarily from transaction fees and from services such as title insurance--not from making a killing on the flip. The company's algorithm, which was supposed to predict housing prices, didn't seem to understand the market. Zillow was also behind on its target for home purchases. By the summer, it had the opposite problem, the company later acknowledged.

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."