image001

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML …

Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning

A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning tricks — for the first time as well as a human can. The stunning prestidigitation, showcased in the video above, is one of nearly 30 tasks that robots have learned to expertly …

Evaluating social and ethical risks from generative AI

Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. To ensure these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may pose.In our paper, we propose a three-layered framework for evaluating the social and ethical …

Make Music Count embeds watsonx to make perfect music with math  

Over the past ten years, I’ve been on a journey to create an interactive, patented curriculum that combines the power of math with the joy of music. In our program Make Music Count, students from elementary to high school get hands-on experience solving math equations while learning how to play the piano. Since launching, I’ve …