Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’t help the student learn. Perhaps the teacher leaps high into the air to deftly return a volley. The student, unable to copy that, might instead try a few other moves on her own until she has mastered the skills she needs to return volleys.Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’t help the student learn. Perhaps the teacher leaps high into the air to deftly return a volley. The student, unable to copy that, might instead try a few other moves on her own until she has mastered the skills she needs to return volleys.[#item_full_content]

Unmanned aerial vehicles (UAV) have important uses ranging from aerial photography for agricultural and environmental monitoring to military and policing use. Much of the current UAV technology requires a line-of-sight connection with the UAV, meaning the operator can see it. The data collected by the UAV is then transmitted via free-space optical communication, which uses light in open spaces to send information. However, this technology is very vulnerable to signal blockage, especially in dense urban areas where the line of sight can be blocked by buildings and vegetation.Unmanned aerial vehicles (UAV) have important uses ranging from aerial photography for agricultural and environmental monitoring to military and policing use. Much of the current UAV technology requires a line-of-sight connection with the UAV, meaning the operator can see it. The data collected by the UAV is then transmitted via free-space optical communication, which uses light in open spaces to send information. However, this technology is very vulnerable to signal blockage, especially in dense urban areas where the line of sight can be blocked by buildings and vegetation.[#item_full_content]

Perfect recall, computational wizardry and rapier wit: That’s the brain we all want, but how does one design such a brain? The real thing is comprised of ~80 billion neurons that coordinate with one another through tens of thousands of connections in the form of synapses. The human brain has no centralized processor, the way a standard laptop does.Perfect recall, computational wizardry and rapier wit: That’s the brain we all want, but how does one design such a brain? The real thing is comprised of ~80 billion neurons that coordinate with one another through tens of thousands of connections in the form of synapses. The human brain has no centralized processor, the way a standard laptop does.[#item_full_content]

Data-intensive computing applications such as pattern recognition, video processing, database engines and network routers have drastically increased due to the rapid development of big data and artificial intelligence (AI), which pose stringent requirements for storing and processing massive data resources.Data-intensive computing applications such as pattern recognition, video processing, database engines and network routers have drastically increased due to the rapid development of big data and artificial intelligence (AI), which pose stringent requirements for storing and processing massive data resources.[#item_full_content]

Although ChatGPT is still in its infancy, its appearance has impacted virtually all fields relying on technology. Which is to say, pretty much everything is or will soon be touched by it.Although ChatGPT is still in its infancy, its appearance has impacted virtually all fields relying on technology. Which is to say, pretty much everything is or will soon be touched by it.[#item_full_content]

In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler.In theory, quantum computers vastly outperform classical computers in terms of computing speed. For them to do so in practice, it is necessary to design more and novel high-speed algorithms, says ETH supercomputing specialist Torsten Hoefler.[#item_full_content]

Surface electromyography (EMG) has been widely used to measure the electrical activity of muscles. However, the variability in EMG sensing signals due to biological differences of different users significantly degrades the performance and potential of EMG systems.Surface electromyography (EMG) has been widely used to measure the electrical activity of muscles. However, the variability in EMG sensing signals due to biological differences of different users significantly degrades the performance and potential of EMG systems.[#item_full_content]

Associate Professor Tomohisa Yamashita and his colleagues at the Laboratory of Harmonious Systems Engineering (Harmo Lab, Faculty of Information Science and Technology) devote their research to artificial intelligence (AI) for the benefit of human happiness. One of their breakthroughs is the birth of Issa-kun, a haiku generator.Associate Professor Tomohisa Yamashita and his colleagues at the Laboratory of Harmonious Systems Engineering (Harmo Lab, Faculty of Information Science and Technology) devote their research to artificial intelligence (AI) for the benefit of human happiness. One of their breakthroughs is the birth of Issa-kun, a haiku generator.[#item_full_content]

Despite their enormous size and power, today’s artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestrians and emergency vehicles right in front of them, with fatal consequences. Conversational AI systems confidently make up facts and, after training via reinforcement learning, often fail to give accurate estimates of their own uncertainty.Despite their enormous size and power, today’s artificial intelligence systems routinely fail to distinguish between hallucination and reality. Autonomous driving systems can fail to perceive pedestrians and emergency vehicles right in front of them, with fatal consequences. Conversational AI systems confidently make up facts and, after training via reinforcement learning, often fail to give accurate estimates of their own uncertainty.[#item_full_content]

A team of computer scientists from the Max Planck Institute for Informatics, MIT, Google and the University of Pennsylvania has developed a new AI imaging tool for user-interactive 3D manipulation of 2D images depicted in a photograph. The team published a paper describing the new tool, which is called DragGAN, on the arXiv preprint server along with short videos depicting what the tool can do.A team of computer scientists from the Max Planck Institute for Informatics, MIT, Google and the University of Pennsylvania has developed a new AI imaging tool for user-interactive 3D manipulation of 2D images depicted in a photograph. The team published a paper describing the new tool, which is called DragGAN, on the arXiv preprint server along with short videos depicting what the tool can do.[#item_full_content]