By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
Doctoral Thesis Title: On Structure, Parallelism, and Approximation in Modern Neural Sequence Modeling Presenter: Morris Yau Presenter’s Affiliation (CSAIL, RLE, LIDS, MTL, etc.): CSAIL Thesis Supervisor(s): Jacob Andreas,…
Tuesday, February 3, 2026 4:00 – 5:00 pm (refreshments at 3:30 pm) Broad Institute Auditorium (415 Main St., Cambridge, MA 02142) and virtually at broad.io/ewsc 📅 Add to calendar ✍️ Learn more and register…
Doctoral Thesis Title: Navigating Generative Vector Fields: Principled Inference for High-Dimensional Inverse ProblemsPresenter: Jeet MohapatraPresenter’s Affiliation : CSAILThesis Supervisor(s): Prof. Tommi Jaakkola Date: 21 January, 2026Time: 10 – 11 am…
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.