Resembling a seahorse, as its name implies from the Greek words "hippos" (horse) and "kampus" (sea monster), the hippocampus is a brain region crucial for memory formation. But until recently, ...

Decoder-only Transformer models such as Generative Pre-trained Transformers (GPT) have demonstrated exceptional performance in text generation by autoregressively predicting the next token. However, ...

Transformer networks, driven by self-attention, are central to large language models. In generative transformers, self-attention uses cache memory to store token projections, avoiding recomputation at ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

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 ...

It's been long established that our working memory, which allows us to temporarily hold and use information, such as remembering a phone number or a shopping list, is largely driven by the brain's ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Samsung Electronics and SK Hynix have been at the forefront of developing the Processing-In-Memory (PIM) technology in recent years. They are poised to integrate it into AI-enabled PCs and smartphones ...

SEOUL, South Korea--(BUSINESS WIRE)--Samsung Electronics Co., Ltd., the world leader in advanced memory technology, today announced that it has developed the industry's first High Bandwidth Memory ...