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This Mother’s Day, Megelin is slashing prices on its best-selling laser and LED devices.
In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute’s AirLab used the Pittsburgh Supercomputing Center’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint …
Read more “New AI tool predicts airport traffic to avert devastating collisions”
Leaders at the tech giant were skeptical of OpenAI—but wary of pushing it into the arms of Amazon, according to emails dating back to 2018.
As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions …
Read more “Inspired by the brain, researchers build smarter and more efficient computer hardware”
Messages between Shivon Zilis and Tesla executives reveal plans in 2017 to start a rival AI lab, potentially led by Altman or Demis Hassabis.
Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, slow, and sometimes unsafe, particularly for tasks involving physical interaction. A new AI-based method co-developed by Aston University’s Dr. Alireza Rastegarpanah could revolutionize the way advanced robotic systems are trained for real-life tasks, making them more practical and …
Read more “AI training method helps robots carry lab-learned skills into real-world tasks”
OpenAI’s president wrapped his testimony on Tuesday by revealing a fiery meeting with Musk and subsequent efforts to remove several board members.
Creating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that. Synthegy lets chemists guide synthesis and reaction planning using simple language, while powerful algorithms generate and evaluate possible solutions. The AI doesn’t just compute—it reasons, scoring pathways and explaining which ones make the most sense.
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a “black box.” To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed …
Read more “A simple physics-inspired model sheds light on how AI learns”
OpenAI’s cofounder and president revealed in federal court on Monday that he’s one of the largest individual stakeholders in the AI lab.