A new analysis of AI hardware being produced and how it is being used attempts to estimate the vast amount of electricity ...

Abstract: An energy-efficient deep-learning processor called DNPU is proposed for the embedded processing of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in mobile ...

Discover the BLUETTI Apex 300, a modular energy storage system offering scalable power, solar integration, and intelligent ...

The switch to transformer models has increased AI-driven computing demand by a factor of 50 million over five years.

Adding up those costs, the deregulation spree would ultimately lead to about $43 billion in higher electricity bills for ...

When it comes to a low-stress, on-schedule kitchen renovation, planning is key. Here's what to think about before you get ...

Innatera, a developer of neuromorphic processors, today announced Pulsar, which the company said is the first commercially available microcontroller to bring brain-like intelligence into edge devices.

When most people hear ‘sustainable IT,’ their minds jump to greener data centres. But the environmental impact of enterprise ...

AOTO has pioneered the use of 80nm processing chips – compared with the 150nm chips widely adopted across the market – by ...

New Jersey Assembly Telecommunications and Utilities Committee advanced critical legislation that can lower energy bills for ...

In part two of this Industry Insights roundtable, vendors and technologists dig into the practical side: how sustainability ...

Accelerated computing speeds up complex tasks using GPUs and AI chips, reshaping industries from finance to healthcare and ...