Kirigami takes pop-up books to a whole new level. The Japanese paper craft involves cutting patterns in paper to transform a two-dimensional sheet into an intricate, three-dimensional structure when partially folded. In the hands of an artist, kirigami can yield remarkably detailed and delicate replicas of structures in nature, architecture, and more.Kirigami takes pop-up books to a whole new level. The Japanese paper craft involves cutting patterns in paper to transform a two-dimensional sheet into an intricate, three-dimensional structure when partially folded. In the hands of an artist, kirigami can yield remarkably detailed and delicate replicas of structures in nature, architecture, and more.[#item_full_content]

The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.The language models behind ChatGPT and other generative AI are trained on written words that have been culled from libraries, scraped from websites and social media, and pulled from news reports and speech transcripts from across the world. There are 250 billion such words behind GPT-3.5, the model fueling ChatGPT, for instance, and GPT-4 is now here.[#item_full_content]

When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predictions.When machine-learning models are deployed in real-world situations, perhaps to flag potential disease in X-rays for a radiologist to review, human users need to know when to trust the model’s predictions.[#item_full_content]

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]