I’m a Professor of Mechanical and Aerospace Engineering at NYU Tandon School of Engineering where I lead the Composite Materials and Mechanics Lab. My research focuses on syntactic foams, metal matrix ...

Matrix inversion is used by dozens of machine learning algorithms and techniques. Examples include iterated Newton-Raphson optimization (for logistic regression binary classification), computing ...

Matrix Learning Downloading lessons into the brain might sound like sci-fi, but technology that activates neural patterns might soon help us practice while asleep. By Steven Kotler. Feb 18, 2013 12:00 ...

Sagi’s study of this “perceptual learning” in 1994 upended the concept of the rigid vision system. This blog has been excerpted from an article I wrote for the March 2013 issue of Discover ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Today, d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL ...

FEBRUARY 13, 2024 — A one-year, $500,000 grant will help UTSA researchers leverage artificial intelligence (AI) and machine learning tools to enhance how health disparities are addressed. MATRIX: The ...