TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Ministry of Testing

Beyond data generation: How I learned to trust synthetic data in performance testing

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 ...
Microsoft

Detecting backdoored language models at scale

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
Harvard Medical School

Medical AI Models Need More Context To Prepare for the Clinic

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...
New Scientist

Dutch air force reads pilots' brainwaves to make training harder

While pilots are flying in a VR simulation, their brainwave patterns can be fed into an AI model that assesses how challenging they are finding a task and adjusts the difficulty accordingly ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

OpenAI says new coding model helped build itself

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...