Memory chips are a key component of artificial intelligence data centers. The boom in AI data center construction has caused a shortage of semiconductors, which are also crucial for electronics like ...

X is revamping the algorithm that ranks posts in the "For You" feed. The engineering team said it will post changes to the algorithm on GitHub every four weeks, including explainers on changes. The ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

SK Hynix said the new facility would help it meet growing demand for memory chips. The $13 billion investment will build on its existing production in Cheongju. According to industry projections cited ...

The stock prices of RAM and NAND manufacturers surged yesterday, with Micron Technology (Nasdaq: MU) up 10%, Sandisk Corporation (Nasdaq: SNDK) up 27%, Western Digital Corporation (Nasdaq: WDC) up 16% ...

New research suggests Alzheimer’s may start far earlier than previously thought, driven by a hidden toxic protein in the brain. Scientists found that an experimental drug, NU-9, blocks this early ...

Basically, MU will exit its consumer business starting fiscal Q2, or February 2026. The stock was down initially on the news by about 2.6%. Now, in pre-market, it's back to being flat, and that is ...

Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for ...

A new technical paper titled “Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators” was published by researchers at Harvard University, Politecnico di Torino, Intel, LMU ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...