Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing.

Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.

As the joke goes, CRQC has been 10 to 20 years away for the past three decades. While the recent research suggests that ...

A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

The Singapore rail operator has developed an intelligent analytics platform to support predictive maintenance and pinpoint track issues, maximising its three-hour nightly maintenance window ...

As warming temperatures spread dengue to new regions, Stanford researchers are using AI-powered drones to hunt down hidden ...

Analyst SMQKE shared a technical breakdown of Hedera on X. The post walks through Hedera’s hashgraph consensus, its ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Just a few months ago, AI was an interesting tool for knowledge workers. Now, for many, it’s utterly terrifying.

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.