Traditionally, efficiency improvements made that energy use steady, but AI hardware growth ended that trend, with energy demand now increasing rapidly. 1. The graph shows total U.S. data center ...

From optimizing traffic flow to enhancing user experiences, AI is becoming a foundational tool for driving greater speed, efficiency, and cost-effectiveness across connectivity and telecom systems.

The method offers a way to accelerate the development of lighter, stronger, and more energy-efficient materials ... to machine learning-based inverse design require large amounts of simulation or ...

To improve the efficiency of AI models, MIT researchers created an automated system that enables developers of deep learning algorithms to simultaneously take advantage of two types of data ...

This white paper explains how Synopsys UCIe IP and 3DIC Compiler are integrated to deliver a pre-verified and pre-tested design reference flow with all the required design deliverables such as ...

Previous maximum flow algorithms made steady and incremental advances, but they still took longer to find the optimal flow than to process the network data. But the new research, presented on June ...

Experiments have demonstrated that the algorithm ... and efficient manipulation of network data streams, thus increasing the flexibility of the network. We first use machine learning to dynamically ...

Events like cyberattacks, made possible by extensive data exchanged between stakeholders ... In the race to make electrical grids more efficient, Phasecraft, a leading U.K. quantum algorithm startup, ...

But AI algorithms are compute ... over the implementation. Using compiler directives, the developer can control pipelining, loop unrolling, and data flow in the design. As a result, intelligent ...