Discover why robots excel at math but struggle with human-like tasks. Explore Moravec's Paradox and the future of adaptable ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

In this article, a novel adaptive dynamic programming (ADP) approach is proposed for the optimal control problem of nonlinear continuous control systems with unknown dynamics. First, an alternating ...

The Indian Railway sector is no longer just about trains and tracks; it’s also about leveraging cutting-edge technology to ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

While tech adoption is improving in air cargo (what with a total addressable market of around $8 billion by 2032, up from $6 ...

Huawei Digital Power has launched the FusionSolar C&I LUNA2000-215-2S10 Energy Storage System designed to meet the dynamic ...

Amid the trade war with the US, Beijing’s regime is prioritizing technology as a key driver of economic and political power ...

We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems. The projects ...

As the complexity of current computer architecture increases, domain-specific program generators are extensively used to implement performance portable libraries. Dynamic programming is a ...

The transformation of digital gaming requires more than creative concepts—it demands technological innovation that ...

Quadrants has released its latest 3D Printing Robot Startups/SMEs Companies Assessment, 2025, recognizing key players, including both global ...