DeepMind, Google's artificial intelligence (AI) division, has officially launched AlphaEvolve, an AI that can generate ...

History is not just the evolution of technology; it is the evolution of thought.” That is the extent of Google DeepMind’s ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer ... focusing on lower-dimensional tensor products and leveraging MILP solvers like Gurobi for rapid ...

Discover how Alpha Evolve is improving AI with recursive self-improvement, reshaping fields like math, hardware design and ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This is a 2D orthogonal elliptic mesh (grid) generator which works by solving the Winslow partial differential equations (Elliptic PDEs). It is capable of modifying the meshes with stretching ...

Abstract: In-memory computing (IMC) and quantization have emerged as promising techniques for edge-based deep neural network (DNN) accelerators by reducing their energy, latency and storage ...

5G Bands n1, n2, n3, n5, n7, n8, n12, n14, n20, n25, n28, n30, n38, n40, n41, n66, n71, n75, n77, n78, n79, SA, NSA, Sub-6 4G (FDD) Bands 1(2100), 2(1900), 3(1800), 4 ...

His current research interests include deep neural network accelerators, processing-in-memory, accelerators for datacenters, and sparse tensor computation.