The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

The microbe Pyrodictium abyssi is an archaeon—a member of what's known as the third domain of life—and an extremophile. It lives in deep-sea thermal vents, at temperatures above the boiling point of ...

Abstract: Integrated sensing and communication (ISAC) can enhance spectral efficiency and facilitate the diverse emerging applications via sharing the same spectrum and hardware between communication ...

Max Delbrück Center for Molecular Medicine in the Helmholtz Association Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment.

Imagine diving into the deep blue waters of the open ocean, approximately 500 miles southeast of Hawaii. At first, there would be some sunlight, but this would soon fade as you begin your descent. By ...

Introduction: The increasing frequency of slope disasters in urban and recreational public spaces, driven by climate change, presents significant risks to public safety and sustainable urban design.

Background: The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).