A machine-learning framework that combines learners’ expressed attitudes with their academic performance and tool-use behavior outperformed conventional and deep-learning baselines across four educational tasks. The study used 50,000 anonymized records from students and teachers to classify sentiment, predict learning improvement, estimate intention to adopt AI tools and rank personalized learning resources. The proposed Dual-Channel Fusion

By Chad Cox Production Editor Embedded Computing Design October 26, 2026 News Image Credit: Astute Group Astute Group will be at Hall C5, Stand 421 during electronica 2026 demonstrating with partner Axelera AI how Axelera AI’s Metis accelerators run AI models inside embedded and edge equipment, turning camera streams into information a machine can act

Renato Duarte’s citation analysis provides an interesting map of how neuroscience and artificial intelligence (AI) cite each other, but I think it overstates what those patterns can tell us about intellectual influence. In particular, the claim that “the astonishing recent achievements in AI owe neuroscience surprisingly little in their actual machinery and operating principles” goes

Building bridges: A new analysis suggests that most of what crosses from AI to neuroscience are tools, and much of what crosses from neuroscience to AI are classical concepts. Illustration by Adam Parata A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy;

AI product push puts Twilio in the valuation spotlight Twilio (TWLO) has put AI-driven communications at the center of its latest product launches, prompting investors to question whether expectations for stronger revenue and cash flow now match the stock’s elevated valuation. Recent trading has been lively for Twilio, with the share price up 3.22% in

Musk Warns of AI Lending Crunch After $40B Deal [2026] The Shattered Newsletter: the week's biggest stories in tech, gaming and security. ×

AWS Public Sector Blog The world of genomics holds the key to understanding and combating many human diseases. However, analyzing the immense volume of genomic data necessary to find meaningful patterns is a monumental task. Traditional methods, although essential, face challenges in scalability and the discovery of novel, complex patterns across large datasets. This post

Artificial intelligence is steadily working its way into one of medicine’s most technically demanding fields: minimally invasive vascular surgery. A new narrative review published in Frontiers in Cardiovascular Medicine pulls together the evidence on how machine learning, deep learning, natural language processing, and robotics with reinforcement learning are being applied to endovascular and robot-assisted procedures