GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
IEEE

S²RAM: Optimization of SRAM With Memory Access Patterns

Abstract: This paper presents a static sequential-random-access memory (S2RAM) designed to enable low-power and high-performance operations for workloads involving sequential memory accesses.

Intel Arrow Lake Refresh Flexes Faster DDR5 Memory, Nova Lake Gets A Big NPU Boost

Intel itself confirms an earlier leak regarding Arrow Lake Refresh while two more leaks surface concerning Nova Lake desktop.
Computer Weekly

UK government vows to fast-track AI growth zone planning and energy access

The UK government has confirmed North Wales as the location of its latest AI growth zone (AIGZ), while also revealing that there is no investment partner in place to get the construction part of the ...
IEEE

DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters

Abstract: This paper presents DPU-Direct, an accelerator disaggregation system that connects accelerator nodes (ANs) and CPU nodes (CNs) over a standard Remote Direct Memory Access (RDMA) network. DPU ...