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2024 MIT Digital Technology & Strategy Conference:AI Generation From Research to Impactful Use Cases

September 17, 2024Conference Video Duration: 46:52

Panel Discussion: AI Generation - From Research to Impactful Use Cases
2024 MIT Digital Technology & Strategy Conference: Digital Twin AI Shaping the Future of Real Estate

September 17, 2024Conference Video Duration: 43:59

Digital Twin and AI: Shaping the Future of Real Estate
2024 MIT Digital Technology and Strategy Conference: Scaling Digital Production

September 17, 2024Conference Video Duration: 38:27

Scaling Digital Production
2024 MIT Digital Technology and Strategy Conference: How Companies Redesign Work as they Deploy AI

September 17, 2024Conference Video Duration: 46:21

Panel Discussion: Skills, Jobs, and LLMs - How Companies are Redesigning Work as they Deploy AI
2024 MIT Digital Technology and Strategy Conference: Understanding Human-AI Interaction

September 17, 2024Conference Video Duration: 40:15

Understanding Human-AI Interaction
2024 MIT Digital Technology and Strategy Conference: Perspective-Aware AI

September 17, 2024Conference Video Duration: 24:18

Perspective-Aware AI: Leveraging Others’ Personalized Models for Better Decision-Making
2024 MIT Digital Technology and Strategy Conference: Speculative AI

September 17, 2024Conference Video Duration: 21:38

Speculative AI

07.16.24-TokyoLifeScienceSymposium_ArtificialIforDesignSynthesisofSmall MoleculeConnorWColey

July 16, 2024Conference Video Duration: 41:0

Artificial intelligence and machine learning have become important components of the computational toolbox that can be used to advance chemical research and discovery. In this talk, I will discuss our group’s work advancing AI/ML as it applies to the broad subfields of medicinal chemistry and synthetic organic chemistry. I will describe several approaches to facilitate decision-making when planning iterative design-make-test-analyze cycles, including the use of formal optimization techniques for selecting molecules from virtual libraries or proposed by generative AI and the use of computer-aided synthesis planning algorithms to define synthetically-accessible chemical spaces. A pervasive theme of our research is the formulation of problems in molecular design and synthesis in a manner amenable to computational approaches.

07.16.24-TokyoLifeScienceSymposium_ADigitalTwinforContinuousmRNAManufacturingy_RichardBraatz

July 16, 2024Conference Video Duration: 41:44

This presentation describes a digital twin that is being developed for end-to-end continuous manufacturing of mRNA biotherapeutics. Mechanistic models are being constructed for all unit operations. These dynamic models are integrated with models for constraints, uncertainties, and disturbances to form a digital twin for automated, integrated continuous manufacturing. The digital twin is suitable for (1) evaluation and validation of mechanistic hypotheses to gain mechanistic understanding, (2) comparison of multiple process flowsheet options, (3) optimization of individual unit operations and their control systems, (4) the design of end-to-end operations, and (5) the real-time operation alongside plant operations. Experimentally validated results are presented for multiple unit operations.

07.16.24-TokyoLifeScienceSymposium_ConnectingwiththeMITInnovationEcosystemPanel Discussion

July 16, 2024Conference Video Duration: 58:0

Panel Discussion: Connecting with the MIT Innovation Ecosystem

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