Robotics | MIT News | Massachusetts Institute of Technology
Oct 28, 2024 · 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.
Artificial intelligence | MIT News
4 days ago · 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.
Combining next-token prediction and video diffusion in computer …
Oct 16, 2024 · 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.
The new wave of robotic automation - MIT News
Jun 16, 2021 · Realtime Robotics has developed a combination of proprietary software and hardware that reduces system deployment time by 70 percent or more, reduces deployment costs by 30 percent or more, and reduces the programming component of building a robotic system in the industrial robot space by upwards of 90 percent. Image courtesy of Realtime Robotics.
AI helps robots manipulate objects with their whole bodies
Aug 24, 2023 · 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 ...
Top 9 ethical issues in artificial intelligence
Oct 21, 2016 · After a lot of computing, it spits out a formula that does, in fact, bring about the end of cancer – by killing everyone on the planet. The computer would have achieved its goal of "no more cancer" very efficiently, but not in the way humans intended it. 8. Singularity.
This is what artificial intelligence will look like in 2030, according ...
Nov 8, 2016 · 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.
An automated way to assemble thousands of objects
Dec 7, 2022 · Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with an algorithm to automatically assemble products that’s accurate, efficient, and can generalize to a wide range of complex real-world assemblies.
A technique for more effective multipurpose robots - MIT News
Jun 3, 2024 · 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 ...
How AI, robotics and automation will shape future diagnostics
May 28, 2024 · 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.