Instance segmentation is a challenging computer vision task that requires the prediction of object instances and their per-pixel segmentation mask. This makes it...
In a paper titled “The ‘Criminality From Face’ Illusion” posted this week on Arxiv.org, a trio of researchers surgically debunked recent research that...
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and...
And Zoox setlles with Elon's Musketeers over purloined IP Roundup OpenAI Microscope: Neural networks, often described as “black boxes”, are complicated; it’s difficult...
(Submitted on 29 Mar 2020) Abstract: We present Catalyst.RL, an open-source PyTorch framework for reproducible and
sample efficient reinforcement learning (RL)...
Transformers (specifically self-attention) have powered significant recent progress in NLP. They have enabled models like BERT, GPT-2, and XLNet to form powerful language...
In autonomous driving, convolutional neural networks are the go-to tool for various perception tasks. Although CNNs are great at distilling information from camera...
COVID-19 officially became a global pandemic on Wednesday. As public health officials and governments respond; businesses brace for losses; and events...
