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2024 MIT Digital Technology & Strategy Conference: Generative Models as a Data Source for AI Systems

September 17, 2024Conference Video Duration: 44:17

Generative Models as a Data Source for AI Systems
We'll Know It When We Sense It

July 30, 2020MIT Faculty Feature Duration: 12:19

Ariel Furst
Assistant Professor of Chemical Engineering
Using Computational Tools for Molecule Discovery

May 6, 2021MIT Faculty Feature Duration: 27:31

Connor Coley
Assistant Professor of Chemical Engineering
Ann

M

Graybiel

Institute Professor

Primary DLC

Department of Brain and Cognitive Sciences

Contact

MIT Room

46-6133

Phone

(617) 253-5785

graybiel@mit.edu
Bernardo

Zacka

Associate Professor of Political Science

Primary DLC

Department of Political Science

Contact

MIT Room

E53-429

Phone

(617) 324-5652

nardoz@mit.edu
March 28, 2024 ILP Faculty Feature

Guiding the Next Generation of Healthcare Startups and Venture Capital Investors

Zen Chu
Kenneth

R

Manning

Thomas Meloy Professor of Rhetoric and the History of Science

Primary DLC

Comparative Media Studies/Writing

Contact

MIT Room

16-236

Phone

(617) 253-4805

manning@mit.edu

Advanced Design and Manufacturing: Utilizing AI for Advanced Design

October 10, 2024Conference Video Duration: 26:27

Utilizing AI for Advanced Design
Faez Ahmed
ABS Career Development Assistant Professor, MIT Department of Mechanical Engineering
Generative AI is reshaping many industries by offering innovative content-creation approaches. While tools like ChatGPT have proven effective in multimedia, their application in engineering faces unique challenges, such as maintaining precision under varying requirements. This talk will explore some of these challenges, with an emphasis on achieving designs that are innovative, feasible, and achieve high functional performance. We will examine case studies across various engineering disciplines, such as kinematic design. Furthermore, we will explore how precision-focused generative AI can transcend mere mimicking statistical patterns to address performance, constraints, and innovation in engineering. The talk will show examples of AI-drive design co-pilots for engineering tasks, along with covering methods that effectively combine multimodal generative models with engineering optimization and tools, highlighting how this fusion augments the design process. The presentation will conclude by highlighting the broader impact of generative AI in facilitating design democratization and fostering rapid innovation across the engineering sector.

Kent

Larson

Professor of the Practice

Primary DLC

MIT Media Lab

Contact

MIT Room

E15-368

Phone

(617) 253-8799

kll@mit.edu

Assistant

Assistant Name

David Robertson

Assistant phone number

(603) 232-7777

dmr@media.mit.edu
10.25.23-Digital-Acemoglu

October 25, 2023Conference Video Duration: 43:8

Can We Have Pro-Human AI?

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