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

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 ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...

Too many GPUs makes you lazy,” says the French startup’s vice president of science operations, as the company carves out a ...

Jules Whicker tests if VR shooting with the MegaVR Simstock and ClayHuntVR can improve real world performance.

Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

The first phase of transformation focused on data and systems. Staples Canada implemented Manhattan Active Warehouse Management to modernize inventory visibility and workflows. That delivered ...

Overview Anthropic’s new AI tool can automate routine IT tasks, threatening the time-and-materials business model used by ...

Is your AI model secretly poisoned? 3 warning signs ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...