Many applications—from drug discovery and diagnostics to cell engineering and gene modulation—require delivering biomolecules ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

Learn how to scale n8n workflows to handle massive workloads with ease. Discover expert strategies for efficiency, reliability, and success.

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are exploring an innovative ...

David Joyner does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Abstract: In the era of large-scale machine learning, largescale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Rein-forcement Learning ...

In order to meet the needs of a wide scientific community and take advantage of large echo sounder datasets collected at sea, Ifremer has developed GLOBE (GLobal Oceanographic Bathymetry Explorer), an ...

However, graphics processing units (GPUs), which also use parallel processing, are less optimized for this task and therefore less efficient. This drop in efficiency makes a big difference when it ...

“First of all, 90% of your HD listeners are going to be in vehicles,” said Mike Pappas, vice president of global sales for Orban Labs. “This means that as you set up your processing, you will need to ...

Elise London is the CTO of Lakeside Software, where she oversees the design and delivery of its digital employee experience platform. I still remember when GPUs burst onto the scene 25 years ago. More ...