In a new study published in Science, a Belgian research team explores how genetic switches controlling gene activity define ...

With time, Open AI may iron out its technical issues. At some point, Deep Research may also be able to come up with amazing ...

DeepSeek’s AI model challenges traditional HITL approaches, using synthetic data and expert input to reshape AI training and ...

The Chinese start-up used several technological tricks, including a method called “mixture of experts,” to significantly ...

What is DeepL and how does it work? We take a look at one of the best AI translation services on the market in 2025 ...

In this study, a multimodal multi-objective evolutionary algorithm based on deep reinforcement learning (DRL) and large neighborhood search (LNS), called MMOEA-DL, is proposed to solve MRTA problems.

The shift to short-form content affects deep learning and attention span; there are strategies to reclaim focus and critical thinking in a fast-paced digital world.

Latipulhayat made the remarks at a national seminar on teachers' social-emotional competence in the deep learning era, held in Banyumas District, Central Java. The event was attended by 1,730 teachers ...

This paper proposes a data-driven, model-free deep reinforcement learning (DRL) integrated optimization framework that emphasizes balancing multiple objectives—safety, comfort, energy saving, and ...

Into the Deep opens in select theaters and debuts on digital and on-demand Friday, January 24. Filmmakers, I’m begging you. Stop trying to capitalize on shark-horror hype if you can’t pull off ...