Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...

Distinct cerebellar projections to the forebrain differentially support acquisition and offline consolidation of a motor skill engaging cerebello-striato-cortical circuits, revealing the temporal and ...

We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

Claude has a workflow-breaking problem, and it's about time it is addressed ...

Preview of new companion app allows developers to run multiple agent sessions in parallel across multiple repos and iterate on human and agent reviews.

Overview Companies collect data through user inputs, tracking tools, apps, and third-party sources.Businesses analyse data to ...

Kimi K2.6 builds on Kimi K2.5 with stronger coding, better tool use, lower hallucination rates, native multimodal input, and ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

Google launches Gemini Robotics-ER 1.6, enabling robots to reason, adapt, and operate in real-world environments with ...

ThreatsDay Bulletin: active exploits, supply chain attacks, AI abuse, and stealth data risks observed this week.

GPT-5.5 brings a shift toward agentic behaviour, meaning it can plan, execute, and refine tasks with limited user guidance.