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Machine Learning


Tecton Partners with Databricks to Help Enterprises Deploy Machine Learning Applications to Production in Minutes

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SAN FRANCISCO, June 23, 2022 (GLOBE NEWSWIRE) -- Tecton, the enterprise feature store company, today announced a partnership with Databricks, the Data and AI Company and pioneer of the data lakehouse paradigm, to help organizations build and automate their machine learning (ML) feature pipelines from prototype to production. Tecton is integrated with the Databricks Lakehouse Platform so data teams can use Tecton to build production-ready ML features on Databricks in minutes.


Ledecky And Sjostrom Extend Their Reigns In World Championships

International Business Times

Katie Ledecky won a record-breaking fifth straight 800m world title on Friday, just over an hour after Sarah Sjostrom surged to her fourth consecutive victory in the women's 50m butterfly. Local hero Kristof Milak sparked delirium in the Duna Arena in Budapest when he grabbed the gold medal in the 100m butterfly, his second of the week. The Australian mixed 100m freestyle team ended the evening by setting a world record in an event only added to the world championships in 2015. Their time of 3min 19.38sec beat the record set by the United States in last World Championships in 2019 by 0.02sec. Canada were second, the Americans third.


Fully Automated 3D Vestibular Schwannoma Segmentation with and without Gadolinium Contrast: A Multicenter, Multivendor Study

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"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To develop automated vestibular schwannoma measurements on contrast-enhanced T1-and T2-weighted MRI. MRI data from 214 patients in 37 different centers was retrospectively analyzed between 2020–2021.


Chennai Chess Olympiad and AI

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In 2021, Nikhil Kamath, founder of Zerodha, defeated five-time world champion Vishwanathan Anand in chess with the help of computers (he confessed later on) at a celebrity fundraiser. The controversy sparked discussions around the use of AI in the game of chess. As India is all set to host the 44th edition of the Chess Olympiad in Mahabalipuram starting on July 28, let's look at how AI has impacted the game of chess. The earliest mention of technology in chess can be traced back to the 18th century when Austrian empress Maria Theresa commissioned a chess-playing machine. Many players competed against the'Mechanical Turk', thinking it was an automated machine.


AI Detects Osteoporosis With High Accuracy By Analyzing Dental X-Rays

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Scientists in Japan were able to identify osteoporosis with high accuracy using AI to analyze routine dental x-rays. The researchers at Kagawa Prefectural Central Hospital, Okayama University, and Matsumoto Dental University used deep learning to construct an osteoporosis classifier from dental x-rays. The study entitled Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates was published in Scientific Reports on April 12, 2022. It's estimated that over 200 million people worldwide have osteoporosis. People with osteoporosis are at high risk for sudden bone fractures.


Machine Learning With Google Cloud - AI Summary

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From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity." However, being acutely aware of the concerns around intelligent technology, the company's AI research division Google Brain recently published an AI Precision Safety whitepaper. Powerful Infrastructure Underpinning all of these projects, as well as the company's flagship Search, Translate and Youtube products is Google Cloud Platform, providing developers with the tools to build a range of programs from simple websites to complex, intelligent applications. As part of our AI in Business Festival, we spoke to Miles Ward, Global Head of Solutions at Google Cloud Platform, to find out more about the machine learning tools they offer to developers. From their DeepMind project beating champions of Alpha Go at their own game, to recent announcements Magneta and Springboard, not to mention driverless cars, its clear that AI and Machine Learning are central to Google's strategy across its vast portfolio. In a recent interview with Hollywood Reporter, Alphabet chairman Eric Schmidt played down the fears that surround advancements in AI: 'To be clear, we're not talking about consciousness, we're not talking about souls, we're not talking about independent creativity."


La veille de la cybersécurité

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Artificial intelligence is providing disruptive changes in the 4th industrial revolution (Industry 4.0) by increasing interconnectivity and smart automation. Industry 4.0 is revolutionizing the way companies manufacture, improve and distribute their products. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. It allows computers to think and behave like humans, but at much faster speeds and with much more processing power than the human brain can produce. AI offers advantages of new and innovative services, and the potential to improve scale, speed and accuracy.


Closing the Gender Data Gap in AI

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The first computer algorithm is said to have been written in the early 1840s, for the prototype of the Analytical Engine. Ada Lovelace, a mathematician dubbed a "female genius" in her posthumous biography. As the field of computing developed over the next century following Lovelace's death, the typing work involved in creating computer programs was seen as "women's work," a role viewed as akin to switchboard operator or secretary. Women wrote the software, while men made the hardware -- the latter seen, at the time, as the more prestigious of the two tasks. And, during the Space Race of the 1950s and '60s, three Black women, known as "human computers," broke gender and racial barriers to help NASA send the first men into orbit.


AI and the ghost in the machine: Losing human jobs is the least of our worries

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Artificial intelligence and machine learning are becoming a bigger part of our world, which has raised ethical questions and words of caution. Hollywood has foreshadowed the lethal downside of AI many times over but two iconic films illustrate problems we might soon face. In "2001: A Space Odyssey," the ship is controlled by the HAL 9000 computer. It reads the lips of the astronauts as they share their misgivings about the system and their intention to disconnect it. In the most famous scene, Keir Dullea's Dave Bowman is trapped in an airlock. He says, "Open the pod bay doors, HAL."


Google proposes new method to derive analytical expressions for terms in quantum mechanics…

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It's no news that the giant Alphabet invests quite a lot in ML applications to science, through channels such as Google Research and Deepmind. While in the fields of chemistry and biology AlphaFold is by far its most famous project, Deepmind has also gone into quantum mechanical (QM) calculations (my blog entry here), and so is doing Google Research. QM calculations are very important in chemistry, as they provide the highest level of detail about electron densities, distributions, and spin states in molecules and materials, all the key elements required to model, understand, and predict their chemical reactivity and physicochemical properties -none of which are approachable with classical methods. The new work I comment on here comes from Google Research and also addresses ways to improve QM calculations. Specifically, Ma et al developed a new method to derive symbolic, analytical forms of DFT functionals.