By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

With rapid changes in all aspects of business, maybe safety organizations should take this opportunity to re-evaluate the effectiveness of their safety training. One reason this might be an ideal time ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

CIS Training Systems emerged as a bridge between high-performance sport and organizational leadership, using cycling as a ...

Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.