A new way to integrate data with physical objects
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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New technique helps robots pack objects into a tight space
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Twelve with MIT ties elected to the National Academy of Medicine for 2023
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
Empowering students to bring change in the Middle East
The Middle East Entrepreneurs of Tomorrow (MEET) program uses an MIT-inspired curriculum and MISTI student instructors to help young Palestinians and Israelis find common ground.
Finger-shaped sensor enables more dexterous robots
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
AI copilot enhances human precision for safer aviation
Designed to ensure safer skies, “Air-Guardian” blends human intuition with machine precision, creating a more symbiotic relationship between pilot and aircraft.
Improving accessibility of online graphics for blind users
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.
Decoding the complexity of Alzheimer’s disease
By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.
From physics to generative AI: An AI model for advanced pattern generation
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
Five MIT faculty members named 2023 Simons Investigators
The program supports “outstanding theoretical scientists.”
Multi-AI collaboration helps reasoning and factual accuracy in large language models
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Future science at the molecular level
Brad Pentelute and his lab compel the anthrax delivery system to deliver antibody and peptide variants into cells to treat cancer.
AI-driven tool makes it easy to personalize 3D-printable models
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Helping computer vision and language models understand what they see
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.