The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Robots are learning from videos to execute tasks, thanks to a new AI model from Skild. The system enables robots to acquire skills by observing human videos and performing tasks such as opening doors, ...

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

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

The study finds that AI can reduce certain burdens by managing intrinsic load more efficiently than traditional classroom ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Teachers and school leaders can work together to ensure that report cards function as trustworthy indicators of what students ...