Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

The addition of durable execution to the popular serverless compute service is a big step forward, but beware the lock-in ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

As some of the world’s largest tech firms look to AI to write code, new research shows that relying too much on AI can impede ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...

Your AI strategy isn’t failing — your ops team is just ahead of it, quietly proving that AI sticks when it saves real time on real problems.