Fusion neutronics calculations provide important metrics pertinent to fusion device operations, such as tritium breeding ratios (TBRs) and data on heat deposition, material activation, and damage.
Abstract: In the rapidly evolving automotive electrification landscape, Belt-driven Starter and Generator (BSG) systems demand advanced motor modeling techniques. This research addresses critical ...
Antigravity made it to the US. Antigravity made it to the US. is a senior editor and founding member of The Verge who covers gadgets, games, and toys. He spent 15 years editing the likes of CNET, ...
Abstract: Digital commerce platforms face a significant challenge in accurately modeling user preferences from high-dimensional, multimodal data, as traditional methods like collaborative filtering ...
Industry Insight from Reuters Events, a part of Thomson Reuters. Boosted by Big Tech's power needs, nuclear fusion developers are working to overcome design challenges crucial to commercial deployment ...
Nuclear fusion promises a green and infinitely renewable supply of energy—if we can harness it. Fusion happens all the time inside the sun. But to recreate the process on Earth, we must control ...
While AI chatbots grab most of the attention, deep learning is also quietly revolutionizing science and engineering. A new AI model that can help predict the outcome of fusion power experiments could ...
Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...
Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...
WASHINGTON, July 21 (Reuters) - Global fusion energy investment grew by $2.64 billion in the year since last July, an industry group said in an annual industry survey on Monday, but companies said ...
Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...