Artificial intelligence - MIT News
2024年12月20日 · AI in health should be regulated, but don’t forget about the algorithms, researchers say. In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care. December 12, 2024. Read full story →
Graph-based AI model maps the future of innovation
2024年11月12日 · The AI model found unexpected similarities between biological materials and “Symphony No. 9,” suggesting that both follow patterns of complexity. “Similar to how cells in biological materials interact in complex but organized ways to perform a function, Beethoven's 9th symphony arranges musical notes and themes to create a complex but ...
New AI tool generates realistic satellite images of future flooding
2024年11月25日 · The AI-only method, in contrast, generated images of flooding in places where flooding is not physically possible. The team’s method is a proof-of-concept, meant to demonstrate a case in which generative AI models can generate realistic, trustworthy content when paired with a physics-based model.
AI in health should be regulated, but don’t forget about the …
2024年12月12日 · “Clinical risk scores are less opaque than ‘AI’ algorithms in that they typically involve only a handful of variables linked in a simple model,” comments Isaac Kohane, chair of the Department of Biomedical Informatics at Harvard Medical School and editor-in-chief of NEJM AI. “Nonetheless, even these scores are only as good as the ...
Need a research hypothesis? Ask AI. - MIT News
2024年12月19日 · “By focusing AI models on ‘thinking’ in such a manner, we can leapfrog beyond conventional methods and explore more creative uses of AI.” For the most recent paper, the researchers used about 1,000 scientific studies on biological materials, but Buehler says the knowledge graphs could be generated using far more or fewer research papers ...
Despite its impressive output, generative AI doesn’t have a …
2024年11月5日 · The researchers focused on a type of generative AI model known as a transformer, which forms the backbone of LLMs like GPT-4. Transformers are trained on a massive amount of language-based data to predict the next token in a sequence, such as the next word in a sentence.
What do we know about the economics of AI? - MIT News
2024年12月6日 · By contrast, in one paper, “The Simple Macroeconomics of AI,” published in the August issue of Economic Policy, Acemoglu estimates that over the next decade, AI will produce a “modest increase” in GDP between 1.1 to 1.6 percent over the next 10 years, with a roughly 0.05 percent annual gain in productivity.
AI simulation gives people a glimpse of their potential future self
2024年10月1日 · The AI system uses this information to create what the researchers call “future self memories” which provide a backstory the model pulls from when interacting with the user. For instance, the chatbot could talk about the highlights of someone’s future career or answer questions about how the user overcame a particular challenge.
Photonic processor could enable ultrafast AI computations with …
2024年12月2日 · Now that we have an end-to-end system that can run a neural network in optics, at a nanosecond time scale, we can start thinking at a higher level about applications and algorithms,” says Saumil Bandyopadhyay ’17, MEng ’18, PhD ’23, a visiting scientist in the Quantum Photonics and AI Group within the Research Laboratory of Electronics ...
MIT researchers develop an efficient way to train more reliable AI ...
2024年11月22日 · Reinforcement learning models, which underlie these AI decision-making systems, still often fail when faced with even small variations in the tasks they are trained to perform. In the case of traffic, a model might struggle to control a set of intersections with different speed limits, numbers of lanes, or traffic patterns.