The LLM group showed "weaker memory traces, reduced self-monitoring and fragmented authorship," the study authors wrote. That ...

Collaborative learning has emerged as a key paradigm in large-scale intelligent systems, enabling distributed agents to cooperatively train their models while addressing their privacy concerns.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Ensuring cybersecurity in an ever-evolving threat landscape requires proactive identification and understanding of potential threats. Conventional detection and prediction solutions often fall short ...

Background Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute ischemic stroke (AIS). By introducing guidance from ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...