MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

An international team of physicists has uncovered a subtle but important twist in how “memory” works in quantum systems.

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Social memory—the ability to recognize familiar individuals and distinguish them from strangers—is fundamental to social cognition.

Much of our understanding of Earth's past is derived from stratigraphic records exposed in rock outcrops or recovered from drilled cores. These records span immense time intervals, from thousands to ...

As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: In this paper, a low-complexity enhanced memory polynomial search (EMPS) model is proposed for complex nonlinear memory effect scenarios in digital pre-distortion (DPD). Since the ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Tesla plans to end production of its Model S and Model X vehicles in the spring. The company will convert the factory space to build its Optimus robot. CEO Elon Musk stated the move is part of a shift ...