A more effective experimental design for engineering a cell into a new state
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Is AI in the eye of the beholder?
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
Who will benefit from AI?
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
Re-imagining the opera of the future
The iconic sci-fi opera “VALIS,” first composed by Professor Tod Machover in 1987, reboots at MIT for a new generation.
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.
School of Engineering welcomes Songyee Yoon PhD ’00 as visiting innovation scholar
A visionary entrepreneur and innovator, Yoon will focus on entrepreneurship, supporting female engineers, and fostering inclusive innovation.
2023-2024 Accenture Fellows advance technology at the crossroads of business and society
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
Four Lincoln Laboratory technologies win five 2023 R&D 100 awards
Inventions in medical imaging, aircrew scheduling, data security, and quantum networking are named among the year’s most innovative new products.
MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
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.
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.
A pose-mapping technique could remotely evaluate patients with cerebral palsy
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
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.
A. Michael West: Advancing human-robot interactions in health care
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.