At Toyota, researchers are experimenting with prototypes that swoop from the ceiling to take care of chores with the help of machine learning.
In a new study, researchers describe a ‘smart’ fabric that can react to environmental cues and fold itself.
This robot is smaller than the width of a hair 🤯 And scientists hope it will be used to hunt down and destroy cancer cells.
Recent interview with Ben Goertzel on GPT-3/transformer networks, understanding and meaning generation — and what’s missing in AI atm.
This version is audio only — I will post the video version shortly smile
The ability to handle single molecules as effectively as macroscopic building blocks would enable the construction of complex supramolecular structures inaccessible to self-assembly. The fundamental challenges obstructing this goal are the uncontrolled variability and poor observability of atomic-scale conformations. Here, we present a strategy to work around both obstacles and demonstrate autonomous robotic nanofabrication by manipulating single molecules. Our approach uses reinforcement learning (RL), which finds solution strategies even in the face of large uncertainty and sparse feedback. We demonstrate the potential of our RL approach by removing molecules autonomously with a scanning probe microscope from a supramolecular structure. Our RL agent reaches an excellent performance, enabling us to automate a task that previously had to be performed by a human. We anticipate that our work opens the way toward autonomous agents for the robotic construction of functional supramolecular structures with speed, precision, and perseverance beyond our current capabilities.
The swift development of quantum technologies could be further advanced if we managed to free ourselves from the imperatives of crystal growth and self-assembly and learned to fabricate custom-built metastable structures on atomic and molecular length scales routinely (1–7). Metastable structures, apart from being more abundant than stable ones, tend to offer attractive functionalities, because their constituent building blocks can be arranged more freely and in particular in desired functional relationships (7).
It is well established that single molecules can be manipulated and arranged using mechanical, optical, or magnetic actuators (8), such as the tips of scanning probe microscopes (SPMs) (9–12) or optical tweezers (13, 14). With all these types of actuators, a sequence of manipulation steps can be carried out to bring a system of molecular building blocks into a desired target state. The problem of creating custom-built structures from single molecules can therefore be cast as a challenge in robotics.
NASA just launched a new citizen science project — it wants the public’s help to find and identify brand new exoplanets.
Human Touch
This is the sort of work that technically could be automated with an algorithm trained to spot new worlds, Space.com reports. But it turns out that in this case, there’s no substitute for human judgment.
Continue reading “New Website Lets You Help NASA Find Alien Worlds” »
A new bipartisan #congressionalreport calls for the #DefenseDepartment to get a lot more serious about the race to acquire #artificialintelligence and #autonomouscapabilities, modeling efforts to become dominant in these spheres after the “Manhattan Project” initiative to test and develop nuclear weapons in the 1940s.
On Tuesday, the House Armed Services Committee released the results of a yearlong review, co-led by Reps. Seth Moulton, D-Mass., and Jim Banks, R-Ind., aimed at assessing #U.S. #militarycapabilities and preparedness to meet current threats. The 87-page #Future of Defense Task Force Report contains some expected findings — #China and #Russia are identified as the top security threats to the U.S. and modernization is described as an urgent need — but there are surprising points of emphasis.
A bipartisan congressional report calls for the DoD to get more serious about the race to acquire artificial intelligence and autonomous capabilities, modeling efforts to become dominant in these spheres after the “Manhattan Project” initiative to test and develop nuclear weapons in the 1940s.
Continue reading “Congress Wants a ‘Manhattan Project’ for Military Artificial Intelligence” »
A two-in-one software module could improve many applications built on top of popular deep learning architectures.
