Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

With firms looking increasingly unable to buy more memory chips, squeezing every last drop of performance from existing ...

Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

As data centres scale up to support AI workloads, memory and storage have emerged as unexpected pressure points creating ...

The device supports universal second-factor authentication and passwordless login, offering an alternative to proprietary ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

APAC healthcare leaders share how they expect AI in healthcare to evolve in 2026, from governance and clinical adoption to real-world impact on patients and health systems.

At CES 2026, Nvidia Corp. Chief Executive Jensen Huang once again reset the economics of artificial intelligence factories.

Semiconductors and data centers are emerging as the critical leverage points of the physical backbone of the AI economy.

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...