Artificial Intelligence + Machine Learning

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Thesis Defense: Samuel Tenka

Name:Samuel Tenka Time:Wednesday, June 18, 4pm Room: 4-257 Zoom: https://mit.zoom.us/j/96397133905Password: cohobast Title: Geometric Aspects of Optimization and Representation in Learning Abstract: Machine learning combines methods in optimization, data-representation,

June 12, 2025

Photonic processor could streamline 6G wireless signal processing

By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.

Thesis defense: Vindula Jayawardana

Doctoral Thesis Title: Learning to Tackle Task Variations in Control – A Transportation ContextPresenter: Vindula JayawardanaPresenter’s Affiliation (CSAIL, RLE, LIDS, MTL, etc.): LIDSThesis Supervisor(s): Cathy Wu Date: 12th June

Thesis Defense: Aparna Balagopalan

Doctoral Thesis Title: Operationalizing Reliable Machine Learning: From Data Collection to Model PresentationPresenter: Aparna BalagopalanPresenter’s Affiliation (CSAIL, RLE, LIDS, MTL, etc.): LIDSThesis Supervisor(s): Marzyeh Ghassemi Date: June 9,

June 6, 2025

Teaching AI models what they don’t know

A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.

May 16, 2025

With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

May 14, 2025

Study shows vision-language models can’t handle queries with negation words

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

Thesis Defense: Peiqi Wang, Language-Centric Medical Image Understanding

Title: Language-Centric Medical Image Understanding Presenter: Peiqi Wang Presenter’s Affiliation: CSAIL Thesis Supervisor(s): Polina Golland Date: May 14, 2025 Time: 3:10PM – 4:10PM In-person location: 32-D463 (Star) Zoom: https://mit.zoom.us/j/8716348319

May 8, 2025

Hybrid AI model crafts smooth, high-quality videos in seconds

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

Thesis Defense: Andrew Ma, Learning Simple Chemical Heuristics to Model and Discover Materials

Doctoral Thesis Title: Learning Simple Chemical Heuristics to Model and Discover Materials Presenter: Andrew Ma Presenter’s Affiliation: RLE Thesis Supervisor: Marin Soljačić Date: May 9th, 2025 Time: 1:00