Mohit Shrivastava pioneers physics-informed AI to build intelligent, energy-efficient data centers that redefine sustainable engineering.

Successful adoption can typically follow in three stages: assess and plan, pilot and migrate, then operationalize and scale.

With millions of TGVs on a panel, the ability to analyze a large quantity of inspection and metrology data within a short ...

Data science is a catalyst for societal transformation. Its practitioners work at the nexus of innovation, and ethics, ...

The study highlights the importance of practical experience in enhancing employability skills among mechanical engineering graduates in Ghana. The findings suggest that practical exercises, industrial ...

While compute devices such as CPUs, GPUs, and XPUs are stealing the limelight in the artificial intelligence (AI) era, there is an increasing realization that powering AI at scale demands new power ...

Leading HBM device makers and foundries must simultaneously handle multi-layer chip stacking, die warpage, and shorter ...

Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable ...

Regional Management Corp. (NYSE: RM), a diversified consumer finance company, announced today the retirement of its President, Chief Executive Officer, and Director, Robert W. Beck. The Board of ...

According to global reinsurer Swiss Re, investments in energy transition, climate mitigation, and adaptation are projected to ...

The demand for the petrochemicals is driven by its extensive use across industries such as packaging, automotive, ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...