Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

With a shared purpose, we can realize the true promise of CRISPR and improve healthcare, providing hope to more patients with ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Viruses attack nearly every living organism on Earth. To do so, they rely on highly specialized proteins that recognize and ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Key TakeawaysAutomation and AI can systematically pinpoint optimal designs among hundreds of thousands of possibilities, increasing isoprenol titers ...

Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into segments of DNA. Many of these are harmless, but some can cause health ...