Posted by Harsh Mehta, Software Engineer and Jason Baldridge, Research Scientist, Google Research Significant advances continue to be ma...

Misclassification errors on the minority class are more important than other types of prediction errors for some imbalanced classification tasks. One example is the problem of classifying bank customers as to whether they should receive a loan or not. Giving…

We have created a new AI-powered tool that can turn virtually any standard 2D picture into a 3D image.

Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications?
Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly…

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities - microsoft/unilm

CVXPY creates powerful new PyTorch and TensorFlow layers

All the essential Deep Learning Algorithms you need to know including models used in Computer Vision and Natural Language Processing

Artificial intelligence (AI) is a major influence on the state of education today, and the implications are huge. AI has the potential to transform how our education system operates, heighten the competitiveness of institutions, and empower teachers and learners…

We are sharing details on a new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets.

Facebook AI researchers have developed Demucs, a system that takes a regular audio file of a song and separates out the guitars, drums, vocals, and bass with uncanny accuracy.

Multiclass classification problems are those where a label must be predicted, but there are more than two labels that may be predicted. These are challenging predictive modeling problems because a sufficiently representative number of examples of each class…