Artificial intelligence - MIT News
2024年10月8日 · Artificial intelligence meets “blisk” in new DARPA-funded collaboration. Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery. October 8, 2024. Read full story.
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.
Explained: Generative AI | MIT News | Massachusetts Institute of …
2023年11月9日 · Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on. “When it comes to the actual machinery underlying generative AI and other types ...
MIT researchers advance automated interpretability in AI models
2024年7月23日 · They developed “MAIA” (Multimodal Automated Interpretability Agent), a system that automates a variety of neural network interpretability tasks using a vision-language model backbone equipped with tools for experimenting on other AI systems. “Our goal is to create an AI researcher that can conduct interpretability experiments autonomously.
The creative future of generative AI - MIT News
2024年1月2日 · The future of generative AI and its impact on art and design was the subject of a sold-out panel discussion on Oct. 26 at the MIT Bartos Theater. It was part of the annual meeting for the Council for the Arts at MIT (CAMIT), a group of alumni and other supporters of the arts at MIT, and was co-presented by the MIT Center for Art, Science, and ...
New hardware offers faster computation for artificial intelligence ...
2022年7月28日 · MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning systems that can train new and more powerful neural networks rapidly, which could be used for areas …
Scientists use generative AI to answer complex questions in physics
2024年5月16日 · Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches. The work was led by researchers at …
If art is how we express our humanity, where does AI fit in?
2023年6月15日 · In terms of generative AI’s effect on the media ecosystem, with the ability to produce synthetic media at scale, the risk of AI-generated misinformation must be considered. We need to safeguard the media ecosystem against the possibility of massive fraud on one hand, and people losing trust in real media on the other.
MIT faculty, instructors, students experiment with generative AI in ...
2024年4月29日 · Panelists encouraged educators to think about generative AI in ways that move beyond a course policy statement. When incorporating generative AI into assignments, the key is to be clear about learning goals and open to sharing examples of how generative AI could be used in ways that align with those goals. The importance of critical thinking
MIT group releases white papers on governance of AI
2023年12月11日 · In that process, general-purpose AI technologies such as language models have become a new sticking point. Any governance effort faces the challenges of regulating both general and specific AI tools, as well as an array of potential problems including misinformation, deepfakes, surveillance, and more.
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