Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League Baseball (MLB)—is a messy, dynamic process that takes time and careful evaluation of the technology in the wild, according to new Cornell research.Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League Baseball (MLB)—is a messy, dynamic process that takes time and careful evaluation of the technology in the wild, according to new Cornell research.[#item_full_content]
Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League Baseball (MLB)—is a messy, dynamic process that takes time and careful evaluation of the technology in the wild, according to new Cornell research.Training artificial intelligence to enforce even seemingly straightforward rules—like balls and strikes in Major League Baseball (MLB)—is a messy, dynamic process that takes time and careful evaluation of the technology in the wild, according to new Cornell research.Computer Sciences[#item_full_content]
As the era of AI agents—systems that can reason and act autonomously—begins, the power consumption of data centers is emerging as a critical challenge. A KAIST research team has, for the first time, analyzed the computational cost and energy consumption of AI agents, finding that they can consume up to 136.5 times more energy per query than conventional generative AI.As the era of AI agents—systems that can reason and act autonomously—begins, the power consumption of data centers is emerging as a critical challenge. A KAIST research team has, for the first time, analyzed the computational cost and energy consumption of AI agents, finding that they can consume up to 136.5 times more energy per query than conventional generative AI.Energy & Green Tech[#item_full_content]
Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and communication devices. Before researchers make new semiconductor materials in the lab, they often test them first using quantum mechanical simulations. One of the main tools for this work is density functional theory, or DFT, a computer-modeling method that skips tracking every single electron and instead uses their overall cloud density to quickly calculate a material’s atomic structure and energy.Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and communication devices. Before researchers make new semiconductor materials in the lab, they often test them first using quantum mechanical simulations. One of the main tools for this work is density functional theory, or DFT, a computer-modeling method that skips tracking every single electron and instead uses their overall cloud density to quickly calculate a material’s atomic structure and energy.[#item_full_content]
Earlier today, the ABC flagged a shift in its position on generative artificial intelligence (AI) use in its news production. Despite previous caution, a recent deal with U.S. tech company Anthropic has opened the door for ABC staff to bring Claude AI into their broadcast news work.Earlier today, the ABC flagged a shift in its position on generative artificial intelligence (AI) use in its news production. Despite previous caution, a recent deal with U.S. tech company Anthropic has opened the door for ABC staff to bring Claude AI into their broadcast news work.Consumer & Gadgets[#item_full_content]
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and network design. These problems involve finding the best possible solution from a finite set of discrete options by maximizing or minimizing an objective function subject to specified constraints. In such problems, the number of feasible solutions increases exponentially with the problem size, making it nearly impossible to find optimal solutions.Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and network design. These problems involve finding the best possible solution from a finite set of discrete options by maximizing or minimizing an objective function subject to specified constraints. In such problems, the number of feasible solutions increases exponentially with the problem size, making it nearly impossible to find optimal solutions.Automotive[#item_full_content]
The United Nations chief called Monday for a global governance system to shape artificial intelligence for the good of humanity, warning against allowing the technology itself to “vibe-code” our future.The United Nations chief called Monday for a global governance system to shape artificial intelligence for the good of humanity, warning against allowing the technology itself to “vibe-code” our future.Machine learning & AI[#item_full_content]
AI tools used to generate, edit or contextualize social media posts can introduce hidden biases that spread through online networks and shape public opinion, according to new research from the Oxford Internet Institute (OII) at the University of Oxford and the Hasso Plattner Institute at the University of Potsdam.AI tools used to generate, edit or contextualize social media posts can introduce hidden biases that spread through online networks and shape public opinion, according to new research from the Oxford Internet Institute (OII) at the University of Oxford and the Hasso Plattner Institute at the University of Potsdam.Consumer & Gadgets[#item_full_content]
Engineers at Queen Mary University of London have built a new color-changing tactile sensor, which allows robots to “see” and touch in real-time. The novel idea was invented by Giacomo Sasso, a postdoctoral researcher at the School of Engineering and Materials Science at Queen Mary University of London, and it works by transforming invisible forces into dynamic color patterns. This enables high-resolution maps of contact, strain and pressure to emerge instantly.Engineers at Queen Mary University of London have built a new color-changing tactile sensor, which allows robots to “see” and touch in real-time. The novel idea was invented by Giacomo Sasso, a postdoctoral researcher at the School of Engineering and Materials Science at Queen Mary University of London, and it works by transforming invisible forces into dynamic color patterns. This enables high-resolution maps of contact, strain and pressure to emerge instantly.[#item_full_content]
Thirty seconds before kick-off, humanoid robot footballers in red and blue jerseys await the referee’s signal in the South Korean port city of Incheon.Thirty seconds before kick-off, humanoid robot footballers in red and blue jerseys await the referee’s signal in the South Korean port city of Incheon.Machine learning & AI[#item_full_content]
