Dive into 3 major technological pursuits at the Department of Defense in its fight to stay agile and effective in evolving environments.

Successful edge AI deployments require deep integration between edge and cloud, complex orchestration and new approaches to data management.

In this digital era, integrating human intelligence with artificial intelligence (AI) at the edge revolutionizes data processing. Chandrasena Cheerla highlights groundbreaking innovations in edge computing,

Distributed tracing tackles the growing complexity of modern systems by tracking a single request's path through interconnected microservices. Unlike traditional monitoring tools, which were effective for monolithic applications,

In a few years from now, technology and AI will be so much integrated into our driving routines that it will be difficult to think of a time when it wasn’t so.

AI processors for mass-produced consumer electronics like notebooks and smartphones are dominated by major companies such as Intel, AMD, Qualcomm, and MediaTek. The industrial application AI market is a competitive arena for major chip companies like Nvidia and Intel, as well as AI chip startups like Hailo and DeepX.

In an era where data is the new oil, leveraging advanced technologies like cloud computing and artificial intelligence (AI) is essential for innovation. Shaik Abdul Kareem, a distinguished expert in cloud infrastructure,

Armada, a leader in edge computing infrastructure, and Newlab, a venture platform for critical technology startups, announced a strategic partnership to foster the growth of a global startup ecosystem focused on edge and AI applications.

Learn how combining quantum computing and AI creates the cutting-edge field of quantum artificial intelligence. Discover the future of intelligent computing.

Music AI, the company behind Moises, raises $40 million in Series A funding, led by Connect Ventures and monashees. Music AI, a leading player in the field of AI for audio and music, has successfully raised $40 million in a funding round led by Connect Ventures and prominent Brazilian investor,

As the new year gets underway, we thought it would be interesting to get AI’s take on what’s next for AI in 2025. We queried three popular large language models (LLM) to get their perspectives on what AI breakthroughs might be in the cards for this year.

As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power-consumption and boosting the speed at which they process data.