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 ...

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, ...

UpGuard, a leader in cybersecurity and risk management, released new research highlighting a critical security vulnerability ...

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

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

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

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 ...

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 ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

According to the study, a randomised trial reported lower debugging and comprehension scores when junior developers leaned on assistants for unfamiliar tasks.