Your online order arrives damaged, so you request a refund. What often follows is an artificial intelligence workflow involving multiple AI models: One model checks your request against company policy, another analyzes the image you uploaded, and yet another drafts a response.Your online order arrives damaged, so you request a refund. What often follows is an artificial intelligence workflow involving multiple AI models: One model checks your request against company policy, another analyzes the image you uploaded, and yet another drafts a response.Machine learning & AI[#item_full_content]

Young people in low- and middle-income countries appear generally more optimistic about how AI can enhance their work prospects and social lives than their Western peers, according to our new survey of people in 10 countries in Africa and South Asia.Young people in low- and middle-income countries appear generally more optimistic about how AI can enhance their work prospects and social lives than their Western peers, according to our new survey of people in 10 countries in Africa and South Asia.Machine learning & AI[#item_full_content]

Artificial intelligence (AI) can identify people by the way they walk. The technology focuses on how a person’s joints move, rather than on body shape alone, and could improve long-distance identity verification for security and law enforcement.Artificial intelligence (AI) can identify people by the way they walk. The technology focuses on how a person’s joints move, rather than on body shape alone, and could improve long-distance identity verification for security and law enforcement.Machine learning & AI[#item_full_content]

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today, there are two main ways to program these walking, or legged, robots. The first is called model predictive control. This technique optimizes the robot’s behavior but relies on accurate dynamics models, which are challenging to achieve in real-world settings and often require simplifying assumptions. The second is model-free reinforcement learning, which allows the robot to learn reliable but fixed behaviors, making them difficult to adapt after training.Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today, there are two main ways to program these walking, or legged, robots. The first is called model predictive control. This technique optimizes the robot’s behavior but relies on accurate dynamics models, which are challenging to achieve in real-world settings and often require simplifying assumptions. The second is model-free reinforcement learning, which allows the robot to learn reliable but fixed behaviors, making them difficult to adapt after training.Robotics[#item_full_content]

More and more people are turning to AI when they feel stressed or worried. Researchers at Leiden University studied how and why people use chatbots for emotional support. Their conclusion: AI meets a real need, but also raises serious concerns.More and more people are turning to AI when they feel stressed or worried. Researchers at Leiden University studied how and why people use chatbots for emotional support. Their conclusion: AI meets a real need, but also raises serious concerns.Consumer & Gadgets[#item_full_content]

An AI flaw that can be found today in one model could be quietly replicated across dozens of products and services built on the same underlying technology. Until now, the AI community has lacked a formal pathway to report those flaws, alert affected vendors and coordinate a response. Researchers at Carnegie Mellon University’s Software Engineering Institute (SEI), alongside collaborators from academia and industry, helped build one. Flaw Reporting for AI (FLARE-AI) is a new open-source platform that lets anyone report an AI vulnerability and route it to developers, vendors and government agencies equipped to act.An AI flaw that can be found today in one model could be quietly replicated across dozens of products and services built on the same underlying technology. Until now, the AI community has lacked a formal pathway to report those flaws, alert affected vendors and coordinate a response. Researchers at Carnegie Mellon University’s Software Engineering Institute (SEI), alongside collaborators from academia and industry, helped build one. Flaw Reporting for AI (FLARE-AI) is a new open-source platform that lets anyone report an AI vulnerability and route it to developers, vendors and government agencies equipped to act.Security[#item_full_content]

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, explaining code and automating text-processing tasks like filtering logs.Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, explaining code and automating text-processing tasks like filtering logs.Software[#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]

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]