Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as random “noise”—to understand how synapses buried deep inside brain networks—or brain-inspired devices—can adapt to improve the learning capabilities of the networks as a whole.Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as random “noise”—to understand how synapses buried deep inside brain networks—or brain-inspired devices—can adapt to improve the learning capabilities of the networks as a whole.Hardware[#item_full_content]

Sandwiched between the electrolyte and electrodes in a lithium-ion battery is a remarkably thin layer of material that strongly dictates battery performance and durability: the interphase. Although typically only a few to tens of nanometers thick, interphases are among the least understood components of an operating battery cell. Their complex and constantly evolving structures make it challenging to determine how their atomic features and microscopic variations translate into macroscopic battery performance.Sandwiched between the electrolyte and electrodes in a lithium-ion battery is a remarkably thin layer of material that strongly dictates battery performance and durability: the interphase. Although typically only a few to tens of nanometers thick, interphases are among the least understood components of an operating battery cell. Their complex and constantly evolving structures make it challenging to determine how their atomic features and microscopic variations translate into macroscopic battery performance.Energy & Green Tech[#item_full_content]

A future in which AI can recognize a person’s unspoken “that’s not what I meant” response from brain signals and adjust its behavior on its own is coming closer. KAIST researchers have developed a technology that detects cognitive mismatch between humans and AI through brainwaves, enabling AI systems to revise their actions in real time according to human goals. The achievement is expected to accelerate the shift from AI that follows explicit commands to AI that can infer human intent.A future in which AI can recognize a person’s unspoken “that’s not what I meant” response from brain signals and adjust its behavior on its own is coming closer. KAIST researchers have developed a technology that detects cognitive mismatch between humans and AI through brainwaves, enabling AI systems to revise their actions in real time according to human goals. The achievement is expected to accelerate the shift from AI that follows explicit commands to AI that can infer human intent.Hi Tech & Innovation[#item_full_content]

For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.For Nicolas Papernot, the secret to strengthening cybersecurity in the age of AI is transparency—sharing information about threats and allowing researchers to probe these systems before attackers do.Machine learning & AI[#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]

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.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]