Anthropic’s new hire Andrej Karpathy is known for his work at OpenAI, Tesla and Stanford, with expertise in deep learning, computer vision and generative AI systems.

Nvidia will partner with British startup Ineffable Intelligence to develop new AI systems, the companies announced in Wednesday. Unlike many leading AI models that are trained on human data, Ineffable ...

Sam Altman, OpenAI’s CEO and the public face of ChatGPT, has carved out an image for himself as one of the preeminent AI whisperers of our age, whose influence supposedly extends to the White House on ...

President Trump warned Tuesday that “a whole civilization will die tonight” in Iran, raising concerns about his potential use of nuclear weapons in the country. Now some of his former MAGA allies are ...

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement ...

robotis_lab is a research-oriented repository based on Isaac Lab, designed to enable reinforcement learning (RL) and imitation learning (IL) experiments using Robotis robots in simulation. This ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

Irene Okpanachi is a Features writer covering Android devices, laptops, portable projectors, VR headsets, software, and AI recorders for Android Police and Talk Android. She has five years' experience ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: 🔥 We released a free interactive demo ...

Over the past few years, AI systems have become much better at discerning images, generating language, and performing tasks within physical and virtual environments. Yet they still fail in ways that ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...