New research suggests that generative artificial intelligence (AI) could weaken not only employment opportunities for junior software developers but also the pathway through which they develop into senior professionals.New research suggests that generative artificial intelligence (AI) could weaken not only employment opportunities for junior software developers but also the pathway through which they develop into senior professionals.[#item_full_content]
Autonomous vehicles and robots need to understand a world that is constantly moving. Vehicles change lanes, pedestrians cross streets, and the roadscape can shift from one moment to the next.Autonomous vehicles and robots need to understand a world that is constantly moving. Vehicles change lanes, pedestrians cross streets, and the roadscape can shift from one moment to the next.Automotive[#item_full_content]
Carnegie Mellon University researchers developed a framework to help the United States secure the power infrastructure needed to support artificial intelligence and other emerging technologies, all while reducing vulnerabilities in the global supply chains that make that infrastructure possible.Carnegie Mellon University researchers developed a framework to help the United States secure the power infrastructure needed to support artificial intelligence and other emerging technologies, all while reducing vulnerabilities in the global supply chains that make that infrastructure possible.Energy & Green Tech[#item_full_content]
AI systems that generate video frame by frame could follow a user’s camera commands far more accurately, thanks to a new training method developed by researchers from the University of Surrey and NVIDIA. This improvement matters most when someone steers a generated scene rather than simply watching it. That includes video games built on AI-generated worlds, virtual production sets where a director can move a camera around, and simulated environments used to train robots. The findings are posted on the arXiv preprint server.AI systems that generate video frame by frame could follow a user’s camera commands far more accurately, thanks to a new training method developed by researchers from the University of Surrey and NVIDIA. This improvement matters most when someone steers a generated scene rather than simply watching it. That includes video games built on AI-generated worlds, virtual production sets where a director can move a camera around, and simulated environments used to train robots. The findings are posted on the arXiv preprint server.Computer Sciences[#item_full_content]
AI systems that generate video frame by frame could follow a user’s camera commands far more accurately, thanks to a new training method developed by researchers from the University of Surrey and NVIDIA. This improvement matters most when someone steers a generated scene rather than simply watching it. That includes video games built on AI-generated worlds, virtual production sets where a director can move a camera around, and simulated environments used to train robots. The findings are posted on the arXiv preprint server.AI systems that generate video frame by frame could follow a user’s camera commands far more accurately, thanks to a new training method developed by researchers from the University of Surrey and NVIDIA. This improvement matters most when someone steers a generated scene rather than simply watching it. That includes video games built on AI-generated worlds, virtual production sets where a director can move a camera around, and simulated environments used to train robots. The findings are posted on the arXiv preprint server.[#item_full_content]
Humans are difficult to simulate. We are quick, complex thinkers, and our exact actions aren’t predictable. So how can we sufficiently train robots to collaborate with us?Humans are difficult to simulate. We are quick, complex thinkers, and our exact actions aren’t predictable. So how can we sufficiently train robots to collaborate with us?Robotics[#item_full_content]
Humanoid robots, robotic systems with body shapes and limbs resembling those of humans, could potentially assist people with manual tasks in various real-world settings. So far, however, most of these robots can reliably perform only a limited set of movements.Humanoid robots, robotic systems with body shapes and limbs resembling those of humans, could potentially assist people with manual tasks in various real-world settings. So far, however, most of these robots can reliably perform only a limited set of movements.[#item_full_content]
Humanoid robots, robotic systems with body shapes and limbs resembling those of humans, could potentially assist people with manual tasks in various real-world settings. So far, however, most of these robots can reliably perform only a limited set of movements.Humanoid robots, robotic systems with body shapes and limbs resembling those of humans, could potentially assist people with manual tasks in various real-world settings. So far, however, most of these robots can reliably perform only a limited set of movements.Robotics[#item_full_content]
The Korea Research Institute of Standards and Science (KRISS) has developed a deep learning technology that predicts, in real time, vibrations at multiple locations inside a nuclear power plant using the signal from just a single seismometer and quantifies the risk at each location to enable the prioritization of inspections. In particular, because the AI model can be flexibly designed to match the vibration characteristics of a structure, it is expected to be widely applicable to major industrial facilities such as semiconductor plants and data centers in the future.The Korea Research Institute of Standards and Science (KRISS) has developed a deep learning technology that predicts, in real time, vibrations at multiple locations inside a nuclear power plant using the signal from just a single seismometer and quantifies the risk at each location to enable the prioritization of inspections. In particular, because the AI model can be flexibly designed to match the vibration characteristics of a structure, it is expected to be widely applicable to major industrial facilities such as semiconductor plants and data centers in the future.Engineering[#item_full_content]
A guiding principle for many software engineers—”What you see is what you get” —means creating programs where the content you’re editing looks the same as the final product. But when you’re using generative AI (genAI) systems to 3D-print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is that?A guiding principle for many software engineers—”What you see is what you get” —means creating programs where the content you’re editing looks the same as the final product. But when you’re using generative AI (genAI) systems to 3D-print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is that?[#item_full_content]
