Accelerated Understanding Inc launches an AI model using neural operator architecture that processes 5 trillion data points, ...

Pulse Report examines how AI is optimizing formulations, analyzing consumer health trends and accelerating science-backed ...

Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon.  But a new study suggests that it might take a while for us to get there. The ...

Researchers built a clinical framework to study the reasoning of smaller open-source AI models to make them more accessible and cost-effective, especially in rural areas.

Many software tools, including compilers, optimizers and synthesizers, have a common task at their core. They must transform long, complicated programs into simplified equivalents. These scaled-down ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Combinatorial optimization problems, crucial to fields ranging from logistics to machine learning, often demand immense computational power, and researchers continually seek faster, more efficient ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Sepsis is a global health threat that has a high incidence and mortality rate. Early prediction of sepsis onset can drive effective interventions and improve patients’ outcome. Data were collected ...