5 days ago · Guided learning lets “untrainable” neural networks realize their potential CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another …

Nov 25, 2025 · New AI agent learns to use CAD to create 3D objects from sketches The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer …

Jan 7, 2026 · MIT researchers have developed a deep-learning model “capable of predicting the precise movements, divisions, and restructuring of thousands of cells during the embryo’s …

Jul 30, 2025 · A new study by MIT researchers shows the first method for machine learning with symmetry that is provably efficient in terms of both the amount of computation and data needed.

Apr 23, 2025 · After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine …

5 days ago · Guided learning lets “untrainable” neural networks realize their potential CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another …

Jul 18, 2024 · An MIT team uses machine learning and computational models to measure short-range order (SRO) in high-entropy materials, unlocking the potential for designing tailored …

Dec 5, 2023 · Researchers from MIT and ETH Zurich have developed a new, data-driven machine-learning technique that could be applied to many complex logistical challenges, such …

Sep 7, 2025 · In MIT course 2.155/156 (AI and Machine Learning for Engineering Design), students use tools and techniques from artificial intelligence and machine learning for …

Feb 5, 2024 · Encoding symmetries into neural networks can significantly reduce data complexity, leading to faster and more efficient learning processes, according to MIT researchers …