engblogs

The blogpost examines Salesforce's cutting-edge security strategy and how they use automation to tackle cyber threats.

This blogpost explores how DoorDash built an ensemble learning model for time series forecasting, focusing on the challenge of balancing accuracy and speed in real-world forecasting applications.

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.