Many existing robotics systems draw inspiration from nature, artificially reproducing biological processes, natural structures or animal behaviors to achieve specific goals. This is because animals and plants are innately equipped with abilities that help them to survive in their respective environments, and that could thus also improve the performance of robots outside of laboratory settings.Many existing robotics systems draw inspiration from nature, artificially reproducing biological processes, natural structures or animal behaviors to achieve specific goals. This is because animals and plants are innately equipped with abilities that help them to survive in their respective environments, and that could thus also improve the performance of robots outside of laboratory settings.[#item_full_content]
Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.Robotics[#item_full_content]
Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.[#item_full_content]
When the Beatles broke up more than 50 years ago, devastated fans were left yearning for more. Now, artificial intelligence is offering just that.When the Beatles broke up more than 50 years ago, devastated fans were left yearning for more. Now, artificial intelligence is offering just that.Machine learning & AI[#item_full_content]
Ever since the poem churning ChatGPT burst on the scene six months ago, expert Gary Marcus has voiced caution against artificial intelligence’s ultra-fast development and adoption.Ever since the poem churning ChatGPT burst on the scene six months ago, expert Gary Marcus has voiced caution against artificial intelligence’s ultra-fast development and adoption.Machine learning & AI[#item_full_content]
Recent structural collapses, including tragedies in Surfside, Florida, Pittsburgh, and New York City, have centered the need for more frequent and thorough inspections of aging buildings and infrastructure across the country. But inspections are time-consuming, and often inconsistent, processes, heavily dependent on the judgment of inspectors.Recent structural collapses, including tragedies in Surfside, Florida, Pittsburgh, and New York City, have centered the need for more frequent and thorough inspections of aging buildings and infrastructure across the country. But inspections are time-consuming, and often inconsistent, processes, heavily dependent on the judgment of inspectors.Engineering[#item_full_content]
The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.[#item_full_content]
The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.The human brain has been called the most complicated object in the universe. Trying to replicate that still-unmatched capability for computing, scientists at Los Alamos National Laboratory have made a new interface-type memristive device, which their results suggest can be used to build artificial synapses for next-generation neuromorphic computing.Computer Sciences[#item_full_content]
Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images—however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT’s ability to identify, classify and segment objects in images.Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images—however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT’s ability to identify, classify and segment objects in images.Machine learning & AI[#item_full_content]
Improved speed, precision and flexibility—it is important to take advantage of every possible opportunity in optimizing production. To this end, researchers at the Fraunhofer Institute for Material and Beam Technology IWS have developed SURFinpro, a solution that uses artificial intelligence and optical measurement technology to detect, classify and visualize defects in real time, and report them to the plant carrying out the production. The experts will be presenting their system from June 27 to 30, 2023, at Laser World of Photonics, joint Fraunhofer Booth 441 in Hall A3.Improved speed, precision and flexibility—it is important to take advantage of every possible opportunity in optimizing production. To this end, researchers at the Fraunhofer Institute for Material and Beam Technology IWS have developed SURFinpro, a solution that uses artificial intelligence and optical measurement technology to detect, classify and visualize defects in real time, and report them to the plant carrying out the production. The experts will be presenting their system from June 27 to 30, 2023, at Laser World of Photonics, joint Fraunhofer Booth 441 in Hall A3.Engineering[#item_full_content]
