A new optical in-memory computing system based on an array of vertical-cavity surface-emitting lasers (VCSELs) has the potential to circumvent the Von Neumann bottleneck. The high modulation speed of ...

Researchers have demonstrated a ferroelectric memory chip that performs both random sampling and AI computation, paving the ...

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There are all kinds of neat transformations. My personal favorite is the Fourier ...

When it comes to designing wearable devices for women there are a various factors that need to be taken into account.

Abstract: In this paper, we present a 10T SRAM compute-in memory (CiM) macro to process the multiplication-accumulation (MAC) operations between ternary-inputs and binary-weights. In the proposed 10T ...

Abstract: Exploiting spatial and temporal localities is investigated for efficient row-by-row parallelization of general sparse matrix-matrix multiplication (SpGEMM) operation of the form C=AB on many ...

In this context, the digital cockpit has become the primary human–machine interface (HMI), integrating instrument clusters, ...

Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...

Silicon photonics is the study of the optical properties of the group-IV semiconductor and the design and fabrication of devices for generating, manipulating and detecting light. Silicon is prevalent ...