The new closed-loop discovery system outperformed AI systems from OpenAI and Anthropic on a public biology benchmark, advancing scientific discovery through autonomous experimentation at scale. NEW ...

Candidates preparing for the GATE 2027 Data Science and Artificial Intelligence (DA) paper can use the previous three ...

In the field of artificial intelligence, machine learning is a branch that uses data and algorithms to imitate human learning. It's an ongoing process in which computers can improve their accuracy ...

Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 14.81% for the best ...

Learn how to use Python scripts to automate repetitive tasks, organize files, process images, and simplify daily workflows.

Box ManipulationIn the history of artificial intelligence and machine learning, the determination of internal parameters ...

Two secret scanners, the same 1,049 commits, seven real credentials. Each found five - and not the same five. What every false-positive filter costs you.

"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...

In particular, LLM-based AI agents have demonstrated strong coding capabilities, while harness engineering has further enhanced their ability to interact with the external world, execute actions, and ...

In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...