By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Abstract: Classifying whether a plant is herbal or poisonous is a significant challenge for trekkers, hikers, and nature enthusiasts, particularly in remote areas where several unfamiliar plant ...

We’ve curated a list of 15 websites that will give you a 360-degree view on AI, from AI technology, business strategy, and ...

Abstract: Lung cancer surgery presents significant challenges due to its complexity and the need for precise risk stratification to improve patient outcomes. This study presents a Transformer-based ...

Researchers have discovered chemical fingerprints of Earth's earliest incarnation, preserved in ancient mantle rocks. A unique imbalance in potassium isotopes points to remnants of “proto Earth” ...

Two Nobel-earning economists at MIT, including one who cosigned a March op-ed in a French newspaper decrying attacks against American scientific research, are headed to the University of Zurich next ...

While the transformer architecture has demonstrated strong success in natural language processing and computer vision, its application to limit order book forecasting, particularly in capturing ...

The more we move, the more our muscle cells begin to make a memory of that exercise. MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you ...

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...