An updated learning method—centered around walking, crouching, climbing, and jumping—could one day help the ANYmal robot vault over and crawl under physical hurdles during search and rescue missions.
EPFL’s BioRob team faced challenges field-testing bio-inspired robots in Uganda, leading to advancements and collaborations.
Researchers at the National University of Singapore (NUS) have developed an innovative method for creating carbon-based quantum materials atom by atom. This method combines the use of scanning probe microscopy with advanced deep neural networks. The achievement underlines the capabilities of artificial intelligence (AI) in manipulating materials at the sub-angstrom level, offering significant advantages for basic science and potential future uses.
Open-shell magnetic nanographenes represent a technologically appealing class of new carbon-based quantum materials, which host robust π-spin centers and non-trivial collective quantum magnetism. These properties are crucial for developing high-speed electronic devices at the molecular level and creating quantum bits, the building blocks of quantum computers.
Conversations between Wikipedia editors following CNET’s AI scandal reflect the reputational hazards of AI content and dubious ownership.
These data centers are even more power hungry than traditional ones, and as every tech company pivots to AI, the energy demand steepens.
India is walking back on a recent AI advisory after receiving criticism from many local and global entrepreneurs and investors.
The Ministry of Electronics and IT shared an updated AI advisory with industry stakeholders on Friday that no longer asked them to take the government approval before launching or deploying an AI model to users in the South Asian market.
Under the revised guidelines, firms are instead advised to label under-tested and unreliable AI models to inform users of their potential fallibility or unreliability.
Mercedes-Benz has officially employed humanoid robots to complete manual tasks on its assembly line. Apptronik’s Apollo robot will complete simple tasks like fetching and carrying, helping lighten the load for its human colleagues.
Announced on Friday, March 15, the robots will also be employed to complete other “low skill” tasks like basic assembly. This will free up human workers to focus on more important tasks and reduce the risk of repetitive strain injuries and other health and safety issues related to manual tasks.
UCLA bioengineers create thin, flexible neck device translating larynx muscle movements into audible speech.
