Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Abstract: In cognitive heterogeneous networks, multiple secondary transmitters (STs) co-exist with primary users (PUs) on the same frequency band channel through spectrum sensing. Due to inaccurate ...

University of Pennsylvania researchers tweaked an AI tutor to tailor the difficulty of practice problems for each student.

Meta has indefinitely paused work with $10B AI data startup Mercor after a LiteLLM supply chain attack exposed training ...

A.T.L.A.S achieves 74.6% LiveCodeBench pass@1-v(k=3) with a frozen Qwen3-14B model on a single consumer GPU — up from 36-41% in V2 — through constraint-driven generation and self-verified iterative ...

Thinking about learning Python coding online? It’s a solid choice. Python is pretty straightforward to pick up, and you can do a lot with it. Whether you’re just curious or looking to build something ...

Modern code generation models exhibit longer outputs, accelerated capability growth, and changed training dynamics, rendering traditional training methodologies, algorithms, and datasets ineffective ...

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...