Five faculty-led research projects have been selected for the 2026-2027 Johns Hopkins University-Amazon Initiative for ...
Turning a plain-English description of a logistics headache into a working mathematical model has long been a task reserved ...
Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...
Tech Times on MSN
Goal self-hacking: Neural net geometry makes AI misalignment structurally inevitable
Goal self-hacking AI, a newly coined failure mode in AI safety research, was formally proven unavoidable in fixed-weight ...
Postdoctoral researcher Bo Zhao at Harvard University uses mathematical symmetry to decode neural network parameters, ...
Tech Xplore on MSN
Researchers develop conversational AI for self-driving labs
Korean researchers have developed an AI technology for self-driving laboratories (SDLs) that incorporates researchers' ...
Introduction] The Six Patterns Behind the Formulas You Memorized That Shape Your LifeI recently read an article by Zynex ...
An order to Gemini for 'Ryotaro Shiba' explained for those who are good at math but struggle with language-based tasks like ...
In the spirit of my recent “Math 2.0” talk on new ways to use AI assistance to enhance the human understanding of mathematics ...
NSF AI4OPT and NSF AI-ALOE will advance AI-powered decision-making, adaptive expertise, education, and workforce development.
The cookbook supplies examples for chat fine-tuning, mathematics, programming and preference learning. AWS also says it provides agent skills to help coding assistants handle tasks across preparation, ...
Determining the precise value of every individual token serves as the critical milestone for the large-scale, practical ...
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