A dynamical systems approach to the analyses of neural data shows that autism spectrum disorder (ASD) is characterized by specific temporal patterning of the neural activity that may affect the ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning as Action Abstractions)—an EM-style procedure ...

Physical AI and Robotics – Outputs from IS-PAIR 2025 and Beyond ...

RecurVid is a fast, recursive image-to-video generation model that creates high-quality short videos through next-frame prediction and progressive synthesis. TETUP: Code for "Towards Explainable ...

Abstract: Temporal difference (TD) learning is a fundamental technique in reinforcement learning that updates value function estimates for states or state-action pairs using a TD target. This target ...

Abstract: We introduce Collisionpro, a pioneering framework designed to estimate cumulative collision probability distributions using temporal difference learning, specifically tailored to ...

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