The human brain actively keeps “learning” in balance by holding on to what matters and letting go of what does not. Researchers in Korea have now reproduced this ability in a semiconductor device, using the color of light to strengthen (remember) or weaken (forget) an artificial synapse’s memory. Remarkably, the key ingredient is a material “defect” that engineers usually try to eliminate. The study appears in Nature Communications.The human brain actively keeps “learning” in balance by holding on to what matters and letting go of what does not. Researchers in Korea have now reproduced this ability in a semiconductor device, using the color of light to strengthen (remember) or weaken (forget) an artificial synapse’s memory. Remarkably, the key ingredient is a material “defect” that engineers usually try to eliminate. The study appears in Nature Communications.Electronics & Semiconductors[#item_full_content]
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is “hallucination”—the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed a next-generation database technology capable of understanding documents, data and relationships among entities all at once.One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is “hallucination”—the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed a next-generation database technology capable of understanding documents, data and relationships among entities all at once.[#item_full_content]
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is “hallucination”—the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed a next-generation database technology capable of understanding documents, data and relationships among entities all at once.One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is “hallucination”—the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed a next-generation database technology capable of understanding documents, data and relationships among entities all at once.Computer Sciences[#item_full_content]
Humanoid robots able to perform tasks from grape harvesting to welcoming visitors were front and center at France’s Vivatech trade fair this week, with European firms looking to fill niches beyond what dominant Chinese giants can offer.Humanoid robots able to perform tasks from grape harvesting to welcoming visitors were front and center at France’s Vivatech trade fair this week, with European firms looking to fill niches beyond what dominant Chinese giants can offer.Machine learning & AI[#item_full_content]
A robot with expressive eyebrows designed to perform basic tasks and free up health care workers is getting a trial run at a hospital in Milan.A robot with expressive eyebrows designed to perform basic tasks and free up health care workers is getting a trial run at a hospital in Milan.Machine learning & AI[#item_full_content]
If you ever need help in the kitchen cutting fish into appetizing bites, a new three-armed robot may be able to help. And that’s no easy feat for robots. While they are generally good at picking up rigid objects, something slippery that can change shape when touched, such as a fish, poses a range of challenges. Then, if you add slicing into the mix, it becomes even more difficult because the robot has to cope with the fish changing shape as it is handled and cut.If you ever need help in the kitchen cutting fish into appetizing bites, a new three-armed robot may be able to help. And that’s no easy feat for robots. While they are generally good at picking up rigid objects, something slippery that can change shape when touched, such as a fish, poses a range of challenges. Then, if you add slicing into the mix, it becomes even more difficult because the robot has to cope with the fish changing shape as it is handled and cut.[#item_full_content]
Humanoid robots are no longer science fiction: They can take on tasks that challenge humans and have the potential to play an important role in industry, services or private households in the future. At Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), researchers are working on hardware and software for human-like robots. Dr. Sebastian Reitelshöfer from the FAU Chair of Manufacturing Automation and Production Systems explains in an interview how humanoid robots could support us in the future and why this future technology on two legs could be an opportunity for northern Bavarian industry.Humanoid robots are no longer science fiction: They can take on tasks that challenge humans and have the potential to play an important role in industry, services or private households in the future. At Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), researchers are working on hardware and software for human-like robots. Dr. Sebastian Reitelshöfer from the FAU Chair of Manufacturing Automation and Production Systems explains in an interview how humanoid robots could support us in the future and why this future technology on two legs could be an opportunity for northern Bavarian industry.Robotics[#item_full_content]
More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision technology to help referees make faster, more accurate calls on the way to crowning this year’s victors.More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision technology to help referees make faster, more accurate calls on the way to crowning this year’s victors.[#item_full_content]
More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision technology to help referees make faster, more accurate calls on the way to crowning this year’s victors.More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision technology to help referees make faster, more accurate calls on the way to crowning this year’s victors.Computer Sciences[#item_full_content]
Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more accurate, controllable and useful across applications ranging from image editing to drug discovery.Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more accurate, controllable and useful across applications ranging from image editing to drug discovery.[#item_full_content]
