Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...

From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Solar cells, devices that convert sunlight into electricity, are helping to reduce greenhouse gas emissions worldwide, ...

Cryptocurrency mining has evolved greatly from the early days when it was performed by computers operating in bedrooms. The current scale and use of advanced technologies by cryptocurrency miners to ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

I think the gap between how AI is marketed to users and how it behaves when it is applied in document processing is the real ...

Ultimately, the goal is to empower the automotive industry with smarter, more efficient technology. By focusing on full-stack innovation, supply chain agility, and specific niche excellence, ...

Some of the most effective brand investments don’t show ROI, attribution or lift. That’s exactly why AI struggles to value ...