Scottish scientist Dr. Stuart Pugh developed a method for improvement selection called Pugh’s Controlled Convergence. More ...

In January 2020, a team of OpenAI researchers led by Jared Kaplan, who moved on to co-found Anthropic, published a paper titled “Scaling Laws for Neural Language Models.” The researchers observed ...

The startup plans to use the fresh capital to establish a Centre of Excellence for advanced waste processing and scale its operations across India. Founded in 2018 Abhishek Gupta and Abhinav ...

Positive definite matrices are widely used in machine learning and probabilistic modeling, especially in applications related to graph analysis and Gaussian models. It is not uncommon that positive ...

And now, just following that, the popular upscaling and frame gen tool Lossless Scaling has unlocked a frame gen multiplier up to 20x. *Includes trade-in value + $300 Samsung credit. The first ...

We present a unified approach to obtain scaling limits of neural networks using the genus expansion technique from random matrix theory. This approach begins with a novel expansion of neural networks ...

This paper examines matrix-scaled consensus problems on switching networks where each agent holds time-varying matrix-valued scaling matrices that are either positive definite or negative definite.

Whether it’s well-established memory types or novel approaches, continued work is required to keep scaling moving forward as our need for memory grows at an accelerating pace. “Data is the new economy ...