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Alewife river herring migrate upstream (Credits: the U.S. Fish and Wildlife Service).
CSAIL article

Each spring, river herring populations migrate from Massachusetts coastal waters to begin their annual journey up rivers and streams to freshwater spawning habitat. River herring have faced severe population declines over the past several decades, and their migration is extensively monitored across the region, primarily through traditional visual counting and volunteer-based programs.

Stata Center exterior
The LLM Moment of Physical AI

The CSAIL Forum is a monthly series hosted by Professor Daniela Rus, Director of CSAIL. This month features Professor Vincent Sitzmann.

 

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MIT PhD students Tiffany Yau (left) and Teya Bergamaschi are two of the co-first authors behind a new paper introducing a deep learning model that can predict which patients with heart failure are at risk of having their condition worsen up to a year in advance (Credits: Alex Ouyang/MIT Jameel Clinic).
CSAIL article

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced by barber surgeons in Europe, during a time when physicians rarely operated on patients. 

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CSAIL article

Imagine a world where you could change the designs you see on bags, shirts, and walls whenever you want. Typical clothes would become customizable fashion pieces, while your humble abode could turn into a smart home. That’s the vision of scientists like MIT PhD student Yunyi Zhu ’20, MEng ’21: technology that can “reprogram” the appearance of personal accessories, home decor, and office items.

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Ray and Maria Stata Center

Seeing Above and Below the Canopy: Modeling and Interpreting Species Occupancy with Multimodal Habitat Representations

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alt="In class 16.85 Autonomy Capstone (Design and Testing of Autonomous Vehicles), MIT students design, implement, deploy, and test a full software architecture for flying autonomous systems (Credits: Lillie Paquette/In Short Media)."
CSAIL article

Flying on Mars — or any other world — is an extraordinary challenge. An autonomous spacecraft, operating millions of miles from pilots or engineers who could intervene on Earth, must be able to navigate unfamiliar and changing environments, avoid obstacles, land on uncertain terrain, and make decisions entirely on its own. Every maneuver depends on careful perception, planning, and control systems that are fault-tolerant, allowing the craft to recover if something goes wrong. A single miscalculation can leave a multi-million dollar spacecraft face-down on the surface, ending the mission before it even begins.