Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

AI workload demands continue to expand, with generative AI a driver of further investment in infrastructure. As organizations ...

“Artificial intelligence and machine learning play a crucial role as transformative tools in pharmaceutical research and microbial engineering,” according to Ayaz Belkozhayev, PhD, associate ...

AI-powered adversaries have redefined what fast looks like. Credential stuffing at machine speed. Behavioral mimicry that ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Are you wondering what’s next? To many, the future of technology lies squarely with machine learning and with artificial intelligence, known as AI. Artificial intelligence refers to technologies that ...

DeepSeek-V3 represents a breakthrough in cost-effective AI development. It demonstrates how smart hardware-software co-design ...

More information: Yunyu Xiao et al, Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States, Nature Mental Health (2025). DOI: 10.1038 ...

Federated learning makes it possible for agency employees to collaborate on advanced artificial intelligence models without compromising data control or operational security. The process serves as a ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Artificial intelligence assistants could ease the transition to value-based care for primary care practices, a new report by Phyx Primary Care found. VBC can be administratively burdensome due to ...