An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...

Weebit Nano Limited (ASX:WBT) (Weebit or Company), a leading developer and licensor of advanced memory technologies for the global semiconductor industry, has been selected to participate in a ...

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...

D-Matrix Corp., a startup that provides high-efficiency silicon and generative artificial intelligence compute platforms for data centers, today announced the next generation of its Jayhawk platform ...

The growing popularity of generative AI, which uses natural language to help users make sense of unstructured data, is forcing sweeping changes in how compute resources are designed and deployed. In a ...

A global shortage in memory chips sparked by artificial intelligence has dealt a “tsunami-like shock” to the smartphone industry, pushing prices to all-time highs, according to a new report.

There's a RAM shortage at the moment. RAM, as in random access memory. The memory computer keeps immediately at hand, so it can perform tasks quickly. How can that be? Well, as with so much these days ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.