“Robot, make me a chair”
An AI-driven system developed by a team including IDSS faculty members Faez Ahmed and Lawrence Sass lets users design and build simple, multicomponent objects by describing them with words.
An AI-driven system developed by a team including IDSS faculty members Faez Ahmed and Lawrence Sass lets users design and build simple, multicomponent objects by describing them with words.
Online learners in the ‘Machine Learning with Python’ program will learn the foundations of ML and AI, from data handling to neural networks, with support from an IDSS Teaching Assistant.
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making, says recent article co-authored by IDSS faculty Jessika Trancik.
Using a versatile problem-solving framework, researchers including IDSS faculty Devavrat Shah and SES and IDPS student Jessy (Xinyi) Han show how early relapse in lymphoma patients influences their chance for survival.