Matrix, the pioneer in generative AI inference compute for data centers, has closed $275 million in Series C funding, valuing the company at $2 billion and bringing the total raised to date to $450 ...

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization efforts.

DESILO, a Privacy Enhancing Technology (PET) company, and Cornami, a leader in scalable compute acceleration, today announced new research that significantly improves the performance of encrypted AI ...

The Matrix View in Cakewalk is a powerful tool for organizing and triggering musical ideas in a non-linear fashion, ideal for live performances, composing, or experimenting with loops and clips. This ...

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...

I'm trying to test matrix multiplication on V100 using cutlass 3.9.2 and simulate the process using Accel-sim, but found that when the matrix size is small (e.g. m,n,k=512 and m,n,k=1024) everything ...

The Matrix Foundation has released patches and mitigation details for two vulnerabilities that use its open standard communications protocol to transmit sensitive information. The nonprofit Matrix ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...