Bookmark and Share


June 22, 2018

NVIDIA Releases TensorRT 4

June 19, 2018 — Today we are releasing TensorRT 4 with capabilities for accelerating popular inference applications such as neural machine translation, recommender systems and speech. You also get an easy way to import models from popular deep learning frameworks such as Caffe 2, Chainer, MxNet, Microsoft Cognitive Toolkit and PyTorch through the ONNX format. TensorRT delivers:
June 22, 2018

Introducing Apex: PyTorch Extension with Tools to Realize the Power of Tensor Cores

June 19, 2018 — Today at the Computer Vision and Pattern Recognition Conference in Salt Lake City, Utah, NVIDIA is kicking off the conference by demonstrating an early release of Apex, an open-source PyTorch extension that helps users maximize deep learning training performance on NVIDIA Volta GPUs.
June 22, 2018


June 19, 2018 — Today at Computer Vision and Pattern Recognition (CVPR) conference, we’re making available new libraries for data augmentation and image decoding.
June 21, 2018

AI Takes Root, Helping Farmers Identify Diseased Plants

Farmers can wave their phone in front of a cassava leaf and if a plant had a disease, the app could identify it and give options.

June 19, 2018

Microsoft HoloLens Facilitates Computer Vision Research by Providing Access to Raw Image Sensor Streams with Research Mode

Application code can leverage the results of built-in computer vision algorithms such as SLAM (simultaneous localization and mapping).

June 19, 2018

Using Transfer Learning to Address Label Noise for Large-scale Image Classification

For the underlying theory, refer to the CVPR 18 paper, “CleanNet: Transfer learning for scalable image classifier training with label noise.

June 18, 2018

Believing is Seeing: Insightful Research Illuminates the Newly Possible In the Realm of Natural and Synthetic Images

A pair of groundbreaking papers in computer vision open new vistas on possibilities in the realms of creating natural and synthetic images.

June 18, 2018

Teaching Computers to See With Dr. Gang Hua

Dr. Hua talks about how the latest advances in AI and machine learning are making improvements on image recognition and video understanding.

June 11, 2018

Announcing an Updated YouTube-8M, and the 2nd YouTube-8M Large-Scale Video Understanding Challenge and Workshop

The purpose of the competition is to accelerate improvements in the machine-learning models that classify video.

June 11, 2018

Improving Deep Learning Performance with AutoAugment

Collecting enough quality data to train a deep learning model to perform well is often prohibitively difficult.