Imagine driving down a busy highway. You need to check your speed and navigation, but glancing down at the dashboard takes ...

Nvidia’s $20 billion strategic licensing deal with Groq represents one of the first clear moves in a four-front fight over ...

New computational holography algorithms cut processing time by over half and enable multi-depth augmented reality displays, a ...

Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...

A new holographic computation method could significantly advance augmented‑reality head‑up displays (AR‑HUDs) for vehicles.

Furiosa AI, the Korean AI chip startup, plans to start mass production of its first IC this month. Furiosa AI was founded in ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).

As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...

Abstract: Multiplying matrices is among the most fundamental and compute-intensive operations in machine learning. Approximated Matrix Multiplication (AMM) based on table look-ups can significantly ...

Abstract: Matrix-matrix multiplication is commonly used as the core of operation in linear algebra computations and various applications such as finite element analysis and deep neural networks.