The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Unity Software Inc's Q3 results showed double-digit sequential growth, driven by its Vector platform's machine learning ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

This year, Stanford University organized Agents4Science , the first open conference to accept papers written entirely by ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

New data provide key mechanistic insights into how TG4050 induces and sustains potent, CD8+ T cell responses in operable HNSCC[*] ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

The new capabilities are available starting today, with some features in beta or public preview.

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.