The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

CN Bio, a leading provider of Organ-on-a-chip (OOC) Systems and solutions that accelerate drug discovery and development workflows, today announced the expansion of its Contract Research Services (CRS ...

Cincinnati Children’s Hospital Medical Center researchers, working in collaboration with researchers from the University of Cincinnati (UC) Academic Health Center at the Computational Medicine Center, ...

Scientists at Sanford Burnham Prebys Medical Discovery Institute have developed a new computational tool, TLPath, that can infer changes occurring at the ends of chromosomes—the telomeres—by detecting ...

Genetic diseases that result from truncated proteins can be targeted by so-called nonsense suppression therapies—drugs that prevent protein translation from terminating prematurely. A new ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires ...

Voice AI models face multimodal speech, where one sentence can vary by emotion and emphasis, raising compute needs.