Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Returning to academia was also personal. Introduced to Bhaktee Dongaonkar by Kavita Vemuri, he began a PhD in Cognitive ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

An international team of quantum researchers has shown how machine learning can be used to filter a practically infinite ...

New AI models are accelerating the game of cat-and-mouse as cybersecurity experts try to keep ahead of would-be hackers. An ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.