Researchers at the Department of Energy’s Pacific Northwest National Laboratory use a slew of autonomous robots to design and implement experiments. However, setting up an experiment on an autonomous lab robot is surprisingly slow. The effort requires a lengthy back-and-forth between a scientist and an engineer to design the experimental steps—a process that can take weeks.Researchers at the Department of Energy’s Pacific Northwest National Laboratory use a slew of autonomous robots to design and implement experiments. However, setting up an experiment on an autonomous lab robot is surprisingly slow. The effort requires a lengthy back-and-forth between a scientist and an engineer to design the experimental steps—a process that can take weeks.Engineering[#item_full_content]

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the core functions of generative AI into a single device platform based on ferroelectric memory. This technology is significant as the first demonstration of implementing the two essential functions required for generative AI—random sampling and stable computation—within a single memory array.For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the core functions of generative AI into a single device platform based on ferroelectric memory. This technology is significant as the first demonstration of implementing the two essential functions required for generative AI—random sampling and stable computation—within a single memory array.Electronics & Semiconductors[#item_full_content]

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that exactly match user-drawn shapes using generative AI. The generative design model, “Generative SNUPI,” arranges DNA bases along the contour of a user-defined shape and automatically designs the bonding pathways required to assemble the structure. This breakthrough effectively enables AI to function as a nanodesigner.A joint research team has developed an automated design technology that enables the creation of DNA origami structures that exactly match user-drawn shapes using generative AI. The generative design model, “Generative SNUPI,” arranges DNA bases along the contour of a user-defined shape and automatically designs the bonding pathways required to assemble the structure. This breakthrough effectively enables AI to function as a nanodesigner.Machine learning & AI[#item_full_content]

For centuries, people have dreamed of undoing Babel. Sci-fi novelists envisioned universal translators, and linguists devised international languages, all in pursuit of a world where one person could speak and another could understand, regardless of where either was born.For centuries, people have dreamed of undoing Babel. Sci-fi novelists envisioned universal translators, and linguists devised international languages, all in pursuit of a world where one person could speak and another could understand, regardless of where either was born.Machine learning & AI[#item_full_content]

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it. But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy and cost.Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools to tackle complicated tasks, like analyzing a video and answering questions about it. But the way these highly fragmented systems are designed and deployed often causes inefficiencies that can lead to wasted computation, energy and cost.Business[#item_full_content]

Individuals whose data are used to train medical artificial intelligence (AI) models may be at risk of being identified in cyberattacks, according to a Nature paper. Underrepresented groups may face disproportionately higher risks of having their data compromised, the study indicates. The researchers found these individuals are not accounted for in current risk assessments and call for further mitigation and strict access control.Individuals whose data are used to train medical artificial intelligence (AI) models may be at risk of being identified in cyberattacks, according to a Nature paper. Underrepresented groups may face disproportionately higher risks of having their data compromised, the study indicates. The researchers found these individuals are not accounted for in current risk assessments and call for further mitigation and strict access control.Security[#item_full_content]

Robots that can see beyond human vision, build live 3D maps of unknown environments and identify what objects are made of are being developed by researchers at the University of Surrey, opening new possibilities for applications in nuclear inspection, rail and building safety, and search and rescue in combat zones.Robots that can see beyond human vision, build live 3D maps of unknown environments and identify what objects are made of are being developed by researchers at the University of Surrey, opening new possibilities for applications in nuclear inspection, rail and building safety, and search and rescue in combat zones.Robotics[#item_full_content]

Scientists believe AI could provide F1 strategists with additional information to inform their decision-making during races—where quick decision-making based on data can improve performance on track. Dr. Antonio Rago, a lecturer in computer science at King’s who began the research with a research team at Imperial College London before joining King’s, said, “We discovered that AI models were able to not only replicate both strategy and tactics from the real world, but also that they outperformed existing race strategy optimization techniques in many cases.”Scientists believe AI could provide F1 strategists with additional information to inform their decision-making during races—where quick decision-making based on data can improve performance on track. Dr. Antonio Rago, a lecturer in computer science at King’s who began the research with a research team at Imperial College London before joining King’s, said, “We discovered that AI models were able to not only replicate both strategy and tactics from the real world, but also that they outperformed existing race strategy optimization techniques in many cases.”Machine learning & AI[#item_full_content]

Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make mining safer, more efficient and more sustainable.Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make mining safer, more efficient and more sustainable.Robotics[#item_full_content]