The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...

Apple and Samsung are best equipped to handle rising memory chip costs that could drive down global smartphone shipments by 2.1% in 2026, according to new data from Counterpoint Research. Image credit ...

A new computational approach developed at the University of Chicago promises to shed light on some of the world's most puzzling materials—from high-temperature superconductors to solar cell ...

A new technical paper titled “Special Session Paper: Formal Verification Techniques and Reliability Methods for RRAM-based Computing-in-Memory” was published by researchers at University of Bremen, ...

Micron Technology has announced plans to exit its consumer business, marking one of its most significant strategic shifts in years as the company prioritizes advanced memory chips used in artificial ...

Dec 3 (Reuters) - Memory chipmaker Micron Technology (MU.O), opens new tab said on Wednesday it will exit its consumer business, as it doubles down on advanced memory chips used in artificial ...

Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers’ pivot to AI chips and Nvidia’s memory-intensive AI server platforms, leaving enterprises with limited procurement leverage.

BEIJING (Reuters) -Nvidia's move to use smartphone-style memory chips in its artificial intelligence servers could cause server-memory prices to double by late 2026, according to a report published on ...

Abstract: Aim: This research mainly focuses on the problem of high memory consumption on virtual tourism systems with the help of ESRGAN ancillary models, aiming at improving the memory efficiency and ...

In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...