Researchers at the Indian Institute of Science (IISc) are using multiple swarms of drones to tackle natural disasters like forest fires. Forest fires are becoming increasingly catastrophic across the world, accelerated by climate change.
Over the past few years, all aspects of the warehousing sector have been automated and this naturally includes the materials handling processes. This automation has increased efficiency across the board as well as improving employee safety and productivity.
Robotic systems have become increasingly sophisticated over the past decades, evolving from rudimental stiff robots to a wide range of soft, humanoid, animal-inspired robots. Legged robots, particularly quadrupeds, have been found to be particularly promising for tackling simple tasks at ground level, such as exploring environments and carrying objects.
As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a writer’s block settling into the field when it comes to dealing with large images. Large images are no longer rare—the cameras we carry in our pockets and those orbiting our planet snap pictures so big and detailed that they stretch our current best models and hardware to their breaking points when handling them. Generally, we face a quadratic increase in memory usage as a function of image size.
Today, we make one of two sub-optimal choices when handling large images: down-sampling or cropping. These two methods incur significant losses in the amount of information and context present in an image. We take another look at these approaches and introduce $x$T, a new framework to model large images end-to-end on contemporary GPUs while effectively aggregating global context with local details.
Architecture for the $x$T framework.
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A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps.
Robotic exoskeletons designed to help humans with walking or physically demanding work have been the stuff of sci-fi lore for decades. Remember Ellen Ripley in that Power Loader in "Alien"? Or the crazy mobile platform George McFly wore in 2015 in "Back to the Future, Part II" because he threw his back out?
Whether it's a powered prosthesis to assist a person who has lost a limb or an independent robot navigating the outside world, we are asking machines to perform increasingly complex, dynamic tasks. But the standard electric motor was designed for steady, ongoing activities like running a compressor or spinning a conveyor belt—even updated designs waste a lot of energy when making more complicated movements.
If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.
A mobile app that uses artificial intelligence, AI, to analyze images of suspected skin lesions can diagnose melanoma with very high precision, according to a new study.
A team of roboticists at California Institute of Technology's Jet Propulsion Laboratory, working with a colleague from Carnegie Mellon University's, Robotic Institute, has developed a snake-like robot to investigate the terrain on Enceladus, Saturn's sixth-largest moon.
Equipped with Visual SLAM, ABB’s AMR T702 trolley robot offers increased speed, accuracy and autonomy in navigation and logistics. Integration with ABB’s AMR Studio software allows new users to easily configure AMR routes and jobs.
As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks
As part of our multi-year collaboration with Liverpool FC, we develop a full AI system that can advise coaches on corner kicks
Theo works weekdays, weekends and nights and never complains about a sore spine despite performing hour upon hour of what, for a regular farm hand, would be backbreaking labor checking Dutch tulip fields for sick flowers.
Like most businesses, yours likely goes through production bursts. Maybe these are predictable surges, like seasonal upticks in demand for your products.