Computer Science and Artificial Intelligence Laboratory (CSAIL)

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Doctoral Thesis: Rigorously Tested & Reliable Machine Learning for Health

Michael Oberst Abstract: How do we make machine learning as rigorously tested and reliable as any medication or diagnostic test? Machine learning (ML) has the potential to improve decision-making

Doctoral Thesis: Compiler-Hardware Co-Design for Pervasive Parallelization

Victor A. Ying Abstract:Parallelization is critical to fast computation, but it remains a painstaking and piecemeal practice. This dissertation shows how new compilers and hardware can make parallelization

Doctoral Thesis: From Structured Document To Structured Knowledge

Yujie Qian Abstract: Structured documents, such as scientific literature and medical records, are rich resources of knowledge. However, most natural language processing techniques treat these documents as plain

Doctoral Thesis: Function Follows Form: An Exploration of Robotic Embodiment through Geometry

Lillian Chin Abstract:Current robot designers often treat a robot’s body as merely a vessel to transport the brain, limiting the potential scope of “embodied intelligence” that is unique

Doctoral Thesis: Privacy-Preserving Video Analytics

Frank Cangialosi Abstract:  As video cameras have become pervasive in public settings and accurate computer vision has become commonplace, there has been increasing interest in collecting and processing

Doctoral Thesis: Player Capability and Locally Suboptimal Behavior in Strategic Games

Yichen Yang Abstract: Research in game theory has surfaced many interesting phenomena on how strategic players interact in various game settings. In this thesis, I consider two topics

Doctoral Thesis: AI-Based Speech Assessment of Cognitive Impairment Disorders

R’mani Haulcy Abstract: Previous research has shown that speech can be used to detect cognitive impairment in patients with dementia and other neurodegenerative diseases. These diseases produce cognitive deficits

April 20, 2023

Indyk elected to American Academy of Arts & Sciences

The MIT professor focuses on efficient, sublinear, and streaming algorithms, with innovative research addressing issues in large data and high-dimensional geometry, which relates to the geometry of spaces with more than three dimensions.

April 12, 2023

Yael Tauman Kalai awarded the 2022 ACM Prize in Computing

The prize recognizes early-to-mid-career computer scientists who have made key research contributions to the field, such as Kalai’s influence on modern cryptographic practices.