A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial Intelligence (VRAIN) and ValgrAI, has participated in the development of ADeLe, a new methodology that offers precise explanations and predictions regarding whether large language models (LLMs) will succeed or fail at specific new tasks they have not yet performed. Furthermore, this methodology identifies exactly the limits of any given model’s reasoning capacity.A team from the Universitat Politècnica de València, part of the Valencian University Research Institute for Artificial Intelligence (VRAIN) and ValgrAI, has participated in the development of ADeLe, a new methodology that offers precise explanations and predictions regarding whether large language models (LLMs) will succeed or fail at specific new tasks they have not yet performed. Furthermore, this methodology identifies exactly the limits of any given model’s reasoning capacity.Machine learning & AI[#item_full_content]
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.Computer Sciences[#item_full_content]
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.[#item_full_content]
Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.Computer Sciences[#item_full_content]
Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the starton April 2, 2026 at 11:40 am
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.[#item_full_content]
Air-powered artificial muscles could help robots lift 100 times their weight
Researchers at Arizona State University are developing bio-inspired robotic “muscles” that will enable robots to operate in boiling water, survive abrasive surfaces, bypass impediments that keep their motorized counterparts benched, and still lift up to 100 times their own weight. The new heavyweight champions of robotics will be lighter, smaller, and disconnected from a power source.Researchers at Arizona State University are developing bio-inspired robotic “muscles” that will enable robots to operate in boiling water, survive abrasive surfaces, bypass impediments that keep their motorized counterparts benched, and still lift up to 100 times their own weight. The new heavyweight champions of robotics will be lighter, smaller, and disconnected from a power source.[#item_full_content]
‘Moltbook’ risks: The dangers of AI-to-AI interactions in health care
A new report examines the emerging risks of autonomous AI systems interacting within clinical environments. The article, “Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook,” appears in the Journal of Medical Internet Research. The work explores a critical new frontier: as high-risk AI agents begin to communicate directly with one another to manage triage and scheduling, they create a “digital ecosystem” that can operate beyond active human oversight.A new report examines the emerging risks of autonomous AI systems interacting within clinical environments. The article, “Emerging Risks of AI-to-AI Interactions in Health Care: Lessons From Moltbook,” appears in the Journal of Medical Internet Research. The work explores a critical new frontier: as high-risk AI agents begin to communicate directly with one another to manage triage and scheduling, they create a “digital ecosystem” that can operate beyond active human oversight.Machine learning & AI[#item_full_content]
Your call center rep is emotionally exhausted—their computer may know when to helpon April 2, 2026 at 9:40 am
When a customer calls to complain about a billing error or a delayed package, the person on the other end of the line is doing more than answering questions.When a customer calls to complain about a billing error or a delayed package, the person on the other end of the line is doing more than answering questions.[#item_full_content]
New app designed to improve conference experience
A new app developed by Yun Huang, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, aims to make navigating conferences less work and more fun, so that attendees can meet others, discover fresh ideas, and “experience academic life as an exciting adventure.”A new app developed by Yun Huang, associate professor in the School of Information Sciences at the University of Illinois Urbana-Champaign, aims to make navigating conferences less work and more fun, so that attendees can meet others, discover fresh ideas, and “experience academic life as an exciting adventure.”Consumer & Gadgets[#item_full_content]
Brain-inspired chip could make some AI tasks up to 2,000 times more energy efficient
A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers have found. Loughborough University physicists have developed a device that can process data that changes over time directly in hardware, rather than relying on software running on conventional computers.A new type of computer chip that uses the physics of materials to process information could make some artificial intelligence (AI) systems far more energy efficient, researchers have found. Loughborough University physicists have developed a device that can process data that changes over time directly in hardware, rather than relying on software running on conventional computers.Hardware[#item_full_content]
