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AI Key takeaways from day two of the Databricks Data + AI Summit After unveiling a number of key announcements at Databricks’ Data + AI Summit in San Francisco on Tuesday, the company added further context and messaging around its latest product and service introductions during a three hour keynote session on Wednesday. Here are

The ghost of a 19th century English economist may be haunting yet another part of the AI boom.  In 1865, William Stanley Jevons observed that when the Watt steam engine made coal use more efficient—decreasing the amount required to a task—coal consumption actually skyrocketed. More than 150 years later, one economist is citing this phenomenon

The United States government recently ordered AI company Anthropic to suspend foreign nationals’ access to Fable 5 and Mythos 5, two of its most advanced AI models, citing national security concerns. Anthropic responded by disabling the models for all customers. Organizations in Canada, Europe and around the world that had embedded those tools in their

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can

Credit: RUSLANAS BARANAUSKAS/ Science Photo Library / Getty Images Scientists have developed a deep learning model that could significantly accelerate the discovery of novel antibiotic compounds. In a study published today in Science Translational Medicine , the AI algorithm was able to identify two compounds effective against gonorrhea infections, each operating through mechanisms unlike those

Washington , D.C. - State and school district leaders need to press for guardrails on AI use in schools, while also acknowledging that the technology’s rapid development makes teacher training critical, witnesses at a U.S. Senate hearing said Tuesday. The hearing—organized by the Senate Subcommittee on Education & the American Family—examined the adjustments policymakers need

Summary: A new study that used artificial intelligence to analyze routine eye photographs has unlocked a cheap, non-invasive method for predicting major Alzheimer’s disease risk factors decades before clinical symptoms appear. By training machine learning models on retinal photographs from over 40,000 patients in a UK-based databank, the research team successfully mapped specific regions of