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.

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

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

To this day, animal testing remains one of the most controversial issues in animal rights. Activists have been fighting ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Accurate monitoring of atmospheric aerosols is essential for air-quality management and climate research, yet remains ...

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.

Talking to oneself is a trait which feels inherently human - but it’s not just humans who can reap the benefits of such ...

Chinese AI firm DeepSeek unveils a new framework for developing artificial intelligence. This innovation aims to boost scalability while cutting down on computing power and energy needs. The company ...

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack ...