Artificial intelligence | MIT News | Massachusetts Institute of …
4 days ago · Teaching AI to communicate sounds like humans do. Inspired by the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education. January 9, 2025. Read full story →
AI simulation gives people a glimpse of their potential future self
Oct 1, 2024 · 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.
What do we know about the economics of AI? - MIT News
Dec 6, 2024 · 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.
Despite its impressive output, generative AI doesn’t have a …
Nov 5, 2024 · 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 …
Q&A: The climate impact of generative AI - MIT News
Jan 13, 2025 · A: Generative AI uses machine learning (ML) to create new content, like images and text, based on data that is inputted into the ML system. At the LLSC we design and build some of the largest academic computing platforms in the world, and over the past few years we've seen an explosion in the number of projects that need access to high ...
MIT researchers develop an efficient way to train more reliable AI ...
Nov 22, 2024 · 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.
Photonic processor could enable ultrafast AI computations with …
Dec 2, 2024 · Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation.
MIT researchers advance automated interpretability in AI models
Jul 23, 2024 · 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.
Computer vision | MIT News | Massachusetts Institute of Technology
Dec 20, 2024 · AI pareidolia: Can machines spot faces in inanimate objects? New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces. September 30, 2024. Read full story →
Natural language boosts LLM performance in coding, planning, …
May 1, 2024 · Ada: Natural language guides AI task planning Just like in programming, AI models that automate multi-step tasks in households and command-based video games lack abstractions. Imagine you’re cooking breakfast and ask your roommate to bring a hot egg to the table — they’ll intuitively abstract their background knowledge about cooking in ...