Scientist says the material has a reflectivity of 104% in the visible region which is obtained by the photoluminescence effect.
Synthesizer symphony whilst travelling to far out places along the rickety wooden bridge between worlds. http://vevo.ly/ZCg3ZH
With bodies that move and hands that wave, deepfakes just got a whole lot more realistic.
Robotic Autonomy in Complex Environments with Resiliency (RACER) program successfully tested autonomous movement on a new, much larger fleet vehicle – a significant step in scaling up the adaptability and capability of the underlying RACER algorithms.
The RACER Heavy Platform (RHP) vehicles are 12-ton, 20-foot-long, skid-steer tracked vehicles – similar in size to forthcoming robotic and optionally manned combat/fighting vehicles. The RHPs complement the 2-ton, 11-foot-long, Ackermann-steered, wheeled RACER Fleet Vehicles (RFVs) already in use.
“Having two radically different types of vehicles helps us advance towards RACER’s goal of platform agnostic autonomy in complex, mission-relevant off-road environments that are significantly more unpredictable than on-road conditions,” said Stuart Young, RACER program manager.
Dr Carol Bernstein examines the role of increased bile acids in gastrointestinal cancers, including colon cancer.
How do you make a robot smarter?
Posted in robotics/AI
Teaching robots to ask for help is key to making them safer and more efficient.
Engineers at Princeton University and Google have come up with a new way to teach robots to know when they don’t know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty — and triggers the robot to ask for clarification.
Because tasks are typically more complex than a simple “pick up a bowl” command, the engineers use large language models (LLMs) — the technology behind tools such as ChatGPT — to gauge uncertainty in complex environments. LLMs are bringing robots powerful capabilities to follow human language, but LLM outputs are still frequently unreliable, said Anirudha Majumdar, an assistant professor of mechanical and aerospace engineering at Princeton and the senior author of a study outlining the new method.
Why is Facebook (Meta) harassing my account?
Decision on case of ex-Facebook moderator, who claims the work left him with PTSD, hailed as win for accountability of big tech in Africa.