Google DeepMind creates super-advanced AI that can invent new algorithms AlphaEvolve has already made Google's data centers more efficient and improved Tensor chips.

A new technical paper titled “Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent” was published by researchers at Imperial College London. Abstract “The ...

SAN FRANCISCO-- (BUSINESS WIRE)-- Fazeshift, an AI agent for Accounts Receivable, raised $4M in seed funding led by Gradient, Google's early-stage AI fund. The round also included investment from ...

This study presents an approach for multi-drone path planning in warehouse environments using a combination of the Gradient Descent Method and Artificial Potential Fields (APF). The objective is to ...

Linear Regression and Feature Engineering, Implementation of Gradient Descent, Sub-gradient Descent, Newton Method, Quasi-Newton Method, LBFGS, Determinig Confidence Interval from Bernouli, Uniform ...

In the NeurIPS 2022 Outstanding Paper Gradient Descent: The Ultimate Optimizer, MIT CSAIL and Meta researchers present a novel technique that enables gradient descent optimizers such as SGD and Adam ...