High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Apple’s latest machine learning research seems to confirm what most of us intuitively know already. It shows that while people are open to using AI, they also want to hang onto their own personal ...

The results illustrate a stark divide. People in the top 10% of enrichment scores saw a 38% lower risk of developing Alzheimer’s disease. “Our findings are encouraging, suggesting that consistently ...

Salesforce Inc. (NYSE: CRM) is among the best machine learning stocks to buy according to analysts. In a February 3 report, ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Our partnership with Intel and the ACA demonstrates how community colleges, government, and private industry can collaborate to prepare students for jobs in the competitive global market,” said Steven ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.

Abstract: Mobile applications based on machine learning (ML) are increasingly relying on offloading to the edge devices for low-latency, resource-efficient computation. Applying serverless computing ...