Physics
Ever wondered how a simple physics idea can power memory in neural networks? This paper revisits the classic Hopfield model—born from spin-glass physics—and shows why it’s a perfect bridge from undergraduate physics to modern AI. * Clear tour: A friendly intro using familiar physics tools (energy, dynamics, stability)
AI
Designing particle detectors is complex and slow. A new study tests whether large language models (LLMs) can help—by proposing complete detector layouts from simple prompts, which are then scored by the same simulators used for reinforcement learning (RL). * What they tried: Feed LLMs task constraints and summaries of past
AI
What if you could guide a robot by drawing arrows that show pushes and pulls? Goal Force is a new way to steer video world models with physics, not vague text prompts. Instead of describing goals in words or target images, users sketch force vectors and intermediate dynamics. The model