ACHIEVEMENTS.AI

graphics processing unit

Processor designed for parallel computation of graphics; its architecture proved well-suited for training neural networks, accelerating deep learning.

Wikidata

2 milestones

AlexNet and Deep Convolutional Neural Networks in Large-Scale Image Classification

In September 2012, Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton at the University of Toronto submitted a paper describing AlexNet, a deep convolutional neural network that achieved a top-5 error rate of 15.3% on the ImageNet Large Scale Visual Recognition Challenge, outperforming the next-best entry by more than 10 percentage points.

NVIDIA GeForce 256: Introduction of the Graphics Processing Unit (GPU)

In 1999, NVIDIA released the GeForce 256, which the company marketed as the first graphics processing unit (GPU), a single-chip processor capable of performing transform, lighting, clipping, and rendering operations that had previously required the host CPU, enabling sustained high-throughput parallel computation.