The post Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition appeared first on The AI Blog. The post Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition appeared first on The AI Blog.…
Posted by Alex D’Amour and Katherine Heller, Research Scientists, Google Research Machine learning (ML) models are being used more widely today than ever before and are becoming increasingly impactful. However, they often exhibit unexpected behavior when they are used in…
A special artificial intelligence (AI)-based computer algorithm was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure. Read More
As part of DeepMind’s mission of advancing science, we have acquired the MuJoCo physics simulator and are making it freely available for everyone, to support research everywhere. Read More
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. Read More
Engineers have built multi-legged robots capable of maneuvering in challenging environments and accomplishing difficult tasks collectively, mimicking their natural-world counterparts. Read More
Planning winning strategies in unknown environments is a step forward in the pursuit of general-purpose algorithms. Read More
Our research explored a new approach to an old problem: we reformulated principal component analysis (PCA), a type of eigenvalue problem, as a competitive multi-agent game we call EigenGame. Read More
Sports analytics is in the midst of a remarkably important era, offering interesting opportunities for AI researchers and sports leaders alike. Read More
To help combat racism and advance racial equity, we’ve made donations to organisations that support Black communities in the AI/ML space. Read More