engblogs

New approaches for detecting AI-generated profile photos in order to improve anti-abuse defenses and protect user experiences on LinkedIn.

Using LLMs to extract value from business data at Snorkel AI's Data-Centric AI Summit in 2022

The blog post discusses two complementary approaches to scene boundary detection in audiovisual content, one using aligned screenplay information and the other using a multimodal sequential model.

A guide to effectively using GitHub Copilot with prompts, tips, and real-world use cases for communicating with the AI pair programmer.

4 students share how education reshapes their lives and helps them reach their full potential as refugees.

Introducing RoboCat, a self-improving robotic agent that learns to perform a variety of tasks across different arms and generates new training data to enhance its technique.

An augmented dataset for spatial audio learning with over 570 hours of 19-channel audio, first-order ambisonics, and optional distractor noise, designed for machine learning model training.

Algorithms for private online prediction from experts that improve regret bounds for non-adaptive adversaries and achieve sub-linear regret for oblivious adversaries.

Investigating training dynamics of Transformers by tracking attention entropy to prevent attention collapse

The blogpost discusses the use of the Monge Gap as a regularizer in machine learning to learn transport maps efficiently.

Onboarding users to Amazon SageMaker Studio using Active Directory group-specific IAM roles.

Google Research will showcase cutting-edge research in computer vision and machine perception at CVPR 2023, with 90 papers presented and active involvement in 40 workshops and tutorials.