Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Abstract: Different schemes for approximate computing of matrix multiplication (MM) in systolic arrays are presented in this manuscript. Inexact full adder cells are utilized in a processing element ...

NANLUX has launched the Matrix 2500B and Matrix 2500C, four-head 2500 W fixtures built for modular lighting arrays. IP66-rated, with Nebula B4 and Nebula C8 light engines respectively, they ship Q3 ...

[Mellow_Labs] picked up a few LiDAR matrix sensors and found them very exciting. While a normal time-of-flight sensor can accurately determine a range, the matrix sensor is like an array of 64 sensors ...

Abstract: Transformers are at the core of modern AI nowadays. They rely heavily on matrix multiplication and require efficient acceleration due to their substantial memory and computational ...

systolic_array_configurable #(.SIZE(4), .DATAFLOW(1)) dut_4x4_os ( ...

Shrishty is a decade-old journalist covering a variety of beats between politics to pop culture, but movies are her first love, which led her to study Film and TV Development at UCLAx. She lives and ...

MatX Inc., a chip startup founded by former Google LLC engineers, has raised $500 million in funding to bring its first product to market. Jane Street and Situational Awareness led the Series B ...

Neutral-atom arrays are a rapidly emerging platform to create quantum computers. In a foundational study led by graduate students Aaron Holman and Yuan Xu from the Will and Yu labs, respectively, the ...