SaiSatish

SaiSatish

Benchmarking the next generation of never-ending learners

Our new paper, NEVIS’22: A Stream of 100 Tasks Sampled From 30 Years of Computer Vision Research, proposes a playground to study the question of efficient knowledge transfer in a controlled and reproducible setting. The Never-Ending Visual classification Stream (NEVIS’22)…

Building interactive agents in video game worlds

Most artificial intelligence (AI) researchers now believe that writing computer code which can capture the nuances of situated interactions is impossible. Alternatively, modern machine learning (ML) researchers have focused on learning about these types of interactions from data. To explore…

A simpler path to better computer vision

Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.…

A far-sighted approach to machine learning

A new technique enables artificial intelligence agents to think much farther into the future when considering how their behaviors can influence the behaviors of other AI agents, toward the completion of a task. This approach improves long-term performance of cooperative…

Conversation Summaries in Google Chat

Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages…

‘Butterfly bot’ is fastest swimming soft robot yet

Inspired by the biomechanics of the manta ray, researchers have developed an energy-efficient soft robot that can swim more than four times faster than previous swimming soft robots. The robots are called ‘butterfly bots,’ because their swimming motion resembles the…