TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Nvidia is king in AI chips, but custom ASICs are gaining ground with Google, Amazon, Meta, Microsoft and OpenAI now making their own.

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

Google’s efforts to sell or lease its artificial intelligence server chips so they can run in any company’s data center—and not just in Google Cloud—have generated headlines, stock moves and a ...

Valued at $60M While in Stealth Mode, Astradyne’s UCCM™ Ushers a New Era of Authentic Neurodynamic Interfaces for Universal ...

Astradyne underscores that its PDCI engine, unlike conventional AI systems, equips the UCCM to deliver a new class of intelligent interaction technology that is far more effective and resilient, ...

Abstract: Multiplying matrices can be very challenging although it seems straightforward. Many researchers have studied the multiplication of two 3 by 3 matrices by using Strassen Algorithm in the ...

Google stock hits record high as Meta considers adopting its AI chips Google parent Alphabet is riding a wave of investor confidence as its stock h..

In this method the smaller number is partitioned (broken down into tens and units). \({27}\) is broken down into \({10}\), \({10}\) and \({7}\). The method of partitioning into tens, simplifies the ...