Quantum Computing develops photonic quantum hardware with cost advantages, scaling hurdles and weak financials. Check out why ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

History has, thus far, a flawless track record when it comes to forecasting what comes next for game-changing technologies ...

Opportunities in the data center UPS market include surging demand for digital transformation and cloud computing, driving the need for reliable power solutions. Trends like edge computing, AI ...

Working with OptQC, the Japanese company wants to make a game-changing optical quantum computer that operates at room ...

Internet outages in APAC now spread faster because countries and industries depend on the same narrow set of cloud and ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Taiwan Semiconductor's record operational execution is reflected in sharp wafer shipment growth. Read why I reiterate my Buy ...

The maker of ChatGPT is no longer seen as being on the cutting edge of AI technology and is facing questions about its lack ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

The next stage of AI will be defined not only by advances in the models themselves, but by the infrastructure that keeps them ...

OpenAI’s trillion-dollar data center ambitions face hard market, demand and infrastructure limits that could force a 2026 ...