Artificial intelligence (AI) is rapidly transforming numerous industries, and a significant shift is underway from centralized cloud-based processing to decentralized edge computing. Edge computing processes data closer to the source,

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

As 2025 ushers in a new era of virtualization and containerization for edge AI workloads, here are the top five trends I predict will define the evolution of edge AI.

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

Fueled by the unprecedented demand for network capacity and computational power, Verizon Business has unveiled Verizon AI Connect, an integrated suite of solutions and products designed to enable businesses to deploy artificial intelligence (AI) workloads at scale.

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,

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,

Sardar Mohammed's comprehensive analysis, the symbiotic relationship between quantum computing, AI, and edge computing is not just enhancing system capabilities but revolutionizing how organizations approach their computing needs.

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 2024 came to a close, major companies unveiled their preliminary financial reports. Simultaneously, Nvidia CEO Jensen Huang toured Taiwan, hosting key industry leaders. With the rapid growth of Taiwan's AI server sector and a surge in industry optimism,

Santoshkumar Anchoori emphasizes that as financial institutions continue to face increasingly sophisticated fraud attempts, these technological innovations will play a crucial role in maintaining syst