Decrypt

OpenAI Releases GPT-5.6 Sol: Here’s How It Stacks Up Against Other AI Models

OpenAI has released GPT-5.6 Sol, alongside the cheaper Terra and Luna, ending a two-week preview the Commerce Department kept ...
GitHub

Accelerated, Differentiable, Molecular Dynamics

Molecular dynamics is a workhorse of modern computational condensed matter physics. It is frequently used to simulate materials to observe how small scale interactions can give rise to complex ...
Hosted on MSN

Learn how to determine if a function is continuous and differentiable piecewise

👉 Learn how to determine the differentiability of a function. A function is said to be differentiable if the derivative exists at each point in its domain. To check the differentiability of a ...
IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
marktechpost

Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems

What Do We Mean by “Physical AI”? Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design ...
acm.org

Differentiable Economics: Strategic Behavior, Mechanisms, and Machine Learning

Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...
PNAS

A general framework for interpretable neural learning based on local information-theoretic goal functions

Which learning goals must individual computational elements pursue to contribute to a network-level task solution? This local understanding is missing in both biological, but also artificial neural ...