AI News
Melding data, systems, and society
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
How we really judge AI
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
AI-enabled control system helps autonomous drones stay on target in uncertain environments
The system automatically learns to adapt to unknown disturbances such as gusting winds.
Envisioning a future where health care tech leaves some behind
The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
Helping machines understand visual content with AI
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
Scientists built a transistor that could leave silicon in the dust
Shrinking silicon transistors have reached their physical limits, but a team from the University of Tokyo is rewriting the rules. They've created a cutting-edge transistor using gallium-doped indium oxide with a novel "gate-all-around" structure. By precisely engineering the material's atomic structure, the new device achieves remarkable electron mobility and stability. This breakthrough could fuel faster, more reliable electronics powering future technologies from AI to big data systems.
Obvio’s stop sign cameras use AI to root out unsafe drivers
American streets are incredibly dangerous for pedestrians. A San Carlos, California-based startup called Obvio thinks it can change that by installing cameras at stop signs – a solution the founders also say won’t create a panopticon. That’s a bold claim at a time when other companies like Flock have been criticized for how its license […]
Teaching AI models what they don’t know
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Attachment theory: A new lens for understanding human-AI relationships
Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.
AI stirs up the recipe for concrete in MIT study
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
Teaching AI models the broad strokes to sketch more like humans do
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
Breakneck data center growth challenges Microsoft’s sustainability goals
Microsoft's sustainability goals are imperiled by its push into AI and cloud services.
3 Questions: How to help students recognize potential bias in their AI datasets
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
The future of AI regulation: Why leashes are better than guardrails
Many policy discussions on AI safety regulation have focused on the need to establish regulatory 'guardrails' to protect the public from the risks of AI technology. Experts now argue that, instead of imposing guardrails, policymakers should demand 'leashes.'
Traditional diagnostic decision support systems outperform generative AI for diagnosing disease
Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.
Rationale engineering generates a compact new tool for gene therapy
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
An anomaly detection framework anyone can use
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
AI meets game theory: How language models perform in human-like social scenarios
Large language models (LLMs) -- the advanced AI behind tools like ChatGPT -- are increasingly integrated into daily life, assisting with tasks such as writing emails, answering questions, and even supporting healthcare decisions. But can these models collaborate with others in the same way humans do? Can they understand social situations, make compromises, or establish trust? A new study reveals that while today's AI is smart, it still has much to learn about social intelligence.
Building networks of data science talent
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
MIT announces the Initiative for New Manufacturing
The Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.
