Artificial intelligence | MIT News | Massachusetts Institute of …
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AI helps robots manipulate objects with their whole bodies
2023年8月24日 · Joining Suh on the paper are co-lead author Tao Pang PhD ’23, a roboticist at Boston Dynamics AI Institute; Lujie Yang, an EECS graduate student; and senior author Russ Tedrake, the Toyota Professor of EECS, Aeronautics and Astronautics, and Mechanical Engineering, and a member of the Computer Science and Artificial Intelligence Laboratory ...
Robotics | MIT News | Massachusetts Institute of Technology
2024年12月18日 · Combining next-token prediction and video diffusion in computer vision and robotics. A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments. October 16, 2024. Read full story →
Combining next-token prediction and video diffusion in computer …
2024年10月16日 · Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have proposed a simple change to the diffusion training scheme that makes this sequence denoising considerably more flexible. When applied to fields like computer vision and robotics, the next-token and full-sequence diffusion models have capability trade-offs.
A technique for more effective multipurpose robots
2024年6月3日 · Wang’s coauthors include Jialiang Zhao, a mechanical engineering graduate student; Yilun Du, an EECS graduate student; Edward Adelson, the John and Dorothy Wilson Professor of Vision Science in the Department of Brain and Cognitive Sciences and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and senior author ...
The new wave of robotic automation - MIT News
2021年6月16日 · In May 2017, Realtime Robotics set up shop at MassRobotics, a Boston-area robotics collective. Three months later they had completed their first seed round of funding and landed their first contract with Amazon Robotics. A year later, they had demonstrated their first killer demo for an audience that included two of the top six robot makers.
This is what artificial intelligence will look like in 2030, according ...
2016年11月8日 · Mary “Missy” Cummings, Director of the Humans and Autonomy Lab (HAL) at Duke University, and co-chair of the Global Future Council on Artificial Intelligence and Robotics, says the technology will work best in collaboration with humans. While cab drivers may fear for their jobs, she envisages a worldwide shortage of roboticists in 2030.
How AI, robotics and automation will shape future diagnostics
2024年5月28日 · Into the mix enters artificial intelligence - (AI)-powered diagnostics (Figure 1): AI algorithms can analyse vast datasets of diagnostic data, medical images, and patient history to improve diagnostic accuracy and identify diseases earlier. These algorithms can enhance analytic capabilities and address the medical data overload that doctors face.
Multiple AI models help robots execute complex plans more …
2024年1月8日 · MIT’s Improbable AI Lab, a group within the Computer Science and Artificial Intelligence Laboratory (CSAIL), has offered these machines a helping hand with a new multimodal framework: Compositional Foundation Models for Hierarchical Planning (HiP), which develops detailed, feasible plans with the expertise of three different foundation models ...
Natural language boosts LLM performance in coding, planning, …
2024年5月1日 · The three separate frameworks build libraries of abstractions for their given task: LILO (library induction from language observations) can synthesize, compress, and document code; Ada (action domain acquisition) explores sequential decision-making for artificial intelligence agents; and LGA (language-guided abstraction) helps robots better ...