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                    <title>News on Artificial Intelligence and Machine Learning</title>
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            <description>The latest news on Artificial Intelligence and Machine Learning</description>

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                    <title>Unlocking soft robotics control with AI&#039;s cousin: Reservoir computing</title>
                    <description>Soft robotics—machines made of flexible, muscle-like materials—can bend and stretch in fluid ways that put the rigid robots of old sci-fi movies to shame. But the flexibility that lets them pick ripe tomatoes or navigate a search-and-rescue site comes at a cost: Soft robotics are notoriously difficult to control.</description>
                    <link>https://techxplore.com/news/2026-05-soft-robotics-ai-cousin-reservoir.html</link>
                    <category>Robotics</category>                    <pubDate>Fri, 22 May 2026 10:20:04 EDT</pubDate>
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                    <title>New framework helps robots turn complex language into precise 3D actions</title>
                    <description>Over the past few decades, roboticists worldwide have introduced increasingly advanced robots that can understand human instructions, move in their surroundings and reliably complete basic manual tasks. While they perform well in some scenarios, many of these robots still struggle to translate the instructions of users into precise and executable actions that would allow them to successfully complete desired tasks.</description>
                    <link>https://techxplore.com/news/2026-05-framework-robots-complex-language-precise.html</link>
                    <category>Robotics</category>                    <pubDate>Fri, 22 May 2026 09:40:05 EDT</pubDate>
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                    <title>Technology usually creates jobs for young, skilled workers. Will AI do the same?</title>
                    <description>At any given time, technology does two things to employment: It replaces traditional jobs, and it creates new lines of work. Machines replace farmers, but enable, say, aeronautical engineers to exist. So, if tech creates new jobs, who gets them? How well do they pay? How long do new jobs remain new, before they become just another common task any worker can do?</description>
                    <link>https://techxplore.com/news/2026-05-technology-jobs-young-skilled-workers.html</link>
                    <category>Business</category>                    <pubDate>Thu, 21 May 2026 10:01:36 EDT</pubDate>
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                    <title>Watching the detectors: Researchers probe efficacy—and danger—of AI detection tools</title>
                    <description>Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of Computer &amp; Information Science &amp; Engineering saw reports in the media positing that scientific literature is increasingly being generated by artificial intelligence, he wondered, &quot;How do they know?&quot;</description>
                    <link>https://techxplore.com/news/2026-05-detectors-probe-efficacy-danger-ai.html</link>
                    <category>Security</category>                    <pubDate>Wed, 20 May 2026 13:20:07 EDT</pubDate>
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                    <title>AI system automates scientific software design, outperforming human-written code in key benchmarks</title>
                    <description>A research team at Google co-led by Michael Brenner, Catalyst Professor of Applied Mathematics and Physics at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and Google research scientist, has produced a new artificial intelligence system that can automatically write scientific software programs that surpass the performance of human-written programs. The paper is published in the journal Nature.</description>
                    <link>https://techxplore.com/news/2026-05-ai-automates-scientific-software-outperforming.html</link>
                    <category>Software</category>                    <pubDate>Wed, 20 May 2026 13:00:05 EDT</pubDate>
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                    <title>AI assistants can accelerate scientific discoveries by helping design and interpret experiments</title>
                    <description>Two artificial intelligence (AI) systems that can assist throughout multiple processes involved in scientific research—such as generating hypotheses, designing experiments, and analyzing data—are presented in Nature.</description>
                    <link>https://techxplore.com/news/2026-05-ai-scientific-discoveries.html</link>
                    <category>Hi Tech &amp; Innovation</category>                    <pubDate>Wed, 20 May 2026 12:00:03 EDT</pubDate>
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                    <title>Google announces slew of AI advances, including a personal AI assistant coming soon</title>
                    <description>Google will soon unleash a wealth of new artificial intelligence-powered tools and systems, including an AI assistant that will help users by proactively performing tasks on their behalf.</description>
                    <link>https://techxplore.com/news/2026-05-google-slew-ai-advances-personal.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Wed, 20 May 2026 05:07:26 EDT</pubDate>
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                    <title>Turning surroundings into a &#039;virtual screen&#039; could help machines see better in 3D</title>
                    <description>Imagine navigating a city street during rush hour—cars and bikes zipping by, pedestrians hustling down a crowded sidewalk, your eyes adjusting to the shop windows&#039; glare in one moment and a dark underpass the next. Our brain, of course, does all this without us being aware of the complex processes going on in that moment. In real time, our eyes and brain create a three-dimensional, accurate representation of a dynamic scene, constantly calculating distances between objects with myriad shapes, sizes, and surfaces.</description>
                    <link>https://techxplore.com/news/2026-05-virtual-screen-machines-3d.html</link>
                    <category>Robotics</category>                    <pubDate>Wed, 20 May 2026 05:00:04 EDT</pubDate>
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                    <title>AI can seem more human than real humans in a classic Turing test</title>
                    <description>A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate human conversation so convincingly that people can&#039;t reliably tell it apart from a real person. In a series of experiments, people were often unable to tell the difference between humans and advanced large language models (LLMs).</description>
                    <link>https://techxplore.com/news/2026-05-ai-human-real-humans-classic.html</link>
                    <category>Security</category>                    <pubDate>Tue, 19 May 2026 17:40:06 EDT</pubDate>
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                    <title>Audio cues can make AI feel more human, though some users may judge it as rude</title>
                    <description>Researchers at Carnegie Mellon University are investigating how humans respond to artificial intelligence agents that sound physically present in the same room, work that could shape the future of audio-only AI systems used in smart glasses, accessibility tools and other screen-free technologies.</description>
                    <link>https://techxplore.com/news/2026-05-audio-cues-ai-human-users.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Mon, 18 May 2026 12:00:04 EDT</pubDate>
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                    <title>Humans are bad at making complex decisions. AI can call them out</title>
                    <description>When a list of pros and cons won&#039;t cut it, a new decision-making tool developed by Cornell researchers can use artificial intelligence to help make difficult decisions. But there&#039;s a twist: Instead of checking AI&#039;s result, AI is checking you.</description>
                    <link>https://techxplore.com/news/2026-05-humans-bad-complex-decisions-ai.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Thu, 14 May 2026 12:30:24 EDT</pubDate>
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                    <title>Blind ambition: AI agents can turn tasks into digital disasters</title>
                    <description>Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours.</description>
                    <link>https://techxplore.com/news/2026-05-ambition-ai-agents-tasks-digital.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 14 May 2026 11:00:19 EDT</pubDate>
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                    <title>Designing better quantum circuits with AI</title>
                    <description>Researchers from the group of theoretical physicist Hans Briegel have collaborated with NVIDIA to develop an AI method that automatically generates efficient quantum circuits, a key bottleneck in making quantum computers practically useful.</description>
                    <link>https://techxplore.com/news/2026-05-quantum-circuits-ai.html</link>
                    <category>Hi Tech &amp; Innovation</category>                    <pubDate>Thu, 14 May 2026 10:20:04 EDT</pubDate>
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                    <title>A single real-world data point may stop AI model collapse, analysis suggests</title>
                    <description>New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI &quot;model collapse,&quot; potentially averting growing numbers of AI hallucinations in the future.</description>
                    <link>https://techxplore.com/news/2026-05-real-world-ai-collapse-analysis.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 14 May 2026 10:00:01 EDT</pubDate>
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                    <title>Governments may shape what AI chatbots say by shaping the web they learn from</title>
                    <description>Ask an AI model the same political question in two different languages, and you may get two very different responses. A new study in Nature suggests one reason why: governments can indirectly influence large language models (LLMs) by shaping the online media environment, and thus the text those systems learn from.</description>
                    <link>https://techxplore.com/news/2026-05-ai-chatbots-web.html</link>
                    <category>Internet</category>                    <pubDate>Wed, 13 May 2026 11:00:05 EDT</pubDate>
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                    <title>Signal-folding design helps neuromorphic chip slash AI energy use</title>
                    <description>Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify meaningful patterns. However, when running on existing hardware, such as smartphones, laptops and tablets, these systems typically consume a large amount of energy.</description>
                    <link>https://techxplore.com/news/2026-05-neuromorphic-chip-slash-ai-energy.html</link>
                    <category>Hardware</category>                    <pubDate>Wed, 13 May 2026 08:20:01 EDT</pubDate>
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                    <title>Light-tunable polarization sensor could sharpen self-driving cars and medical scans</title>
                    <description>A technology that surpasses the limitations of existing sensors, which fail to distinguish between water and asphalt on dark roads, has emerged to enhance the accuracy of autonomous driving and medical diagnostics. A research team has developed a next-generation polarization sensor that can read the direction of light and change its own response.</description>
                    <link>https://techxplore.com/news/2026-05-tunable-polarization-sensor-sharpen-cars.html</link>
                    <category>Engineering</category>                    <pubDate>Tue, 12 May 2026 13:00:04 EDT</pubDate>
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                    <title>Closing the gap between animal movement and robotic control</title>
                    <description>Animals move with a level of precision and adaptability that robots struggle to match. In Carnegie Mellon University&#039;s Department of Mechanical Engineering, researchers are developing a new AI-driven approach to uncover how brains and bodies work together. By turning complex biological systems into models that can be tested and refined, the team seeks to understand and replicate animal performance in robotic systems.</description>
                    <link>https://techxplore.com/news/2026-05-gap-animal-movement-robotic.html</link>
                    <category>Robotics</category>                    <pubDate>Tue, 12 May 2026 11:40:06 EDT</pubDate>
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                    <title>Smart AI gives electric vehicle batteries 23% longer life—without increasing the charging time</title>
                    <description>Fast charging shortens the life of vehicle batteries, but is necessary on longer journeys with electric vehicles. Researchers at Chalmers University of Technology, Sweden, have now developed a new AI method that adapts fast charging to the health of the battery. Their study shows that battery life can be increased by almost 23% without extending the charging time. All that is required is an update of the vehicle&#039;s software.</description>
                    <link>https://techxplore.com/news/2026-05-smart-ai-electric-vehicle-batteries.html</link>
                    <category>Automotive</category>                    <pubDate>Tue, 12 May 2026 11:20:05 EDT</pubDate>
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                    <title>&#039;Touch dreaming&#039; helps humanoid robots handle five tricky tasks with 90.9% higher success</title>
                    <description>Humanoid robots, robotic systems with a body structure that resembles that of humans, could soon assist humans with various tasks in household environments, manufacturing sites, hospitals and other settings. While some humanoid robots already perform well on basic manual tasks, they often struggle with more complex tasks or with missions that require them to reliably manipulate objects while moving in the space around them.</description>
                    <link>https://techxplore.com/news/2026-05-humanoid-robots-tricky-tasks-higher.html</link>
                    <category>Robotics</category>                    <pubDate>Tue, 12 May 2026 08:00:02 EDT</pubDate>
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                    <title>People struggle to recall whether content came from AI, with labels forgotten after one week</title>
                    <description>From August 2026, an EU-wide AI regulation will come into force requiring the labeling of AI-generated content. However, a research team from the University of Bayreuth and Aalto University in Helsinki, Finland, has found that users of AI systems can no longer reliably recall after just one week whether content was generated by AI or not. The researchers presented their findings at the CHI conference, the most important and largest international conference in the field of Human–Computer Interaction.</description>
                    <link>https://techxplore.com/news/2026-05-people-struggle-recall-content-ai.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Mon, 11 May 2026 17:40:11 EDT</pubDate>
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                    <title>Hybrid AI architecture could turn neuromorphic systems into reliable discovery machines</title>
                    <description>The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, learning machines and discovery machines. Researchers at Washington University in St. Louis are tackling the rarest of these machines. A new study points to a better way to build discovery machines, thanks to recent research led by Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for research in the McKelvey School of Engineering at Washington University in St. Louis.</description>
                    <link>https://techxplore.com/news/2026-05-hybrid-ai-architecture-neuromorphic-reliable.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Mon, 11 May 2026 17:00:03 EDT</pubDate>
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                    <title>Google disrupts hackers using AI to exploit an unknown weakness in a company&#039;s digital defense</title>
                    <description>Google said Monday that it had disrupted a criminal group&#039;s attempt to use artificial intelligence to exploit another company&#039;s previously unknown digital vulnerability, adding to heightened worries across government and private industry about AI&#039;s risks for cybersecurity.</description>
                    <link>https://techxplore.com/news/2026-05-google-disrupts-hackers-ai-exploit.html</link>
                    <category>Security</category>                    <pubDate>Mon, 11 May 2026 13:00:08 EDT</pubDate>
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                    <title>New AI tool predicts airport traffic to avert devastating collisions</title>
                    <description>In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute&#039;s AirLab used the Pittsburgh Supercomputing Center&#039;s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint server.</description>
                    <link>https://techxplore.com/news/2026-05-ai-tool-airport-traffic-avert.html</link>
                    <category>Automotive</category>                    <pubDate>Fri, 08 May 2026 11:20:03 EDT</pubDate>
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                    <title>A human-inspired pipeline could enhance the training of computer vision models</title>
                    <description>Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.</description>
                    <link>https://techxplore.com/news/2026-05-human-pipeline-vision.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 08 May 2026 09:20:05 EDT</pubDate>
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                    <title>Inspired by the brain, researchers build smarter and more efficient computer hardware</title>
                    <description>As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability.</description>
                    <link>https://techxplore.com/news/2026-05-brain-smarter-efficient-hardware.html</link>
                    <category>Hardware</category>                    <pubDate>Thu, 07 May 2026 16:20:05 EDT</pubDate>
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                    <title>Your conversations with AI may not be as private as you think</title>
                    <description>A study conducted by researchers at IMDEA Networks Institute has revealed that ChatGPT (OpenAI), Claude (Anthropic), Grok, and Perplexity AI use different types of trackers from Meta, Google, TikTok and other companies, potentially exposing data about users&#039; conversations and activity.</description>
                    <link>https://techxplore.com/news/2026-05-conversations-ai-private.html</link>
                    <category>Security</category>                    <pubDate>Thu, 07 May 2026 09:40:04 EDT</pubDate>
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                    <title>AI training method helps robots carry lab-learned skills into real-world tasks</title>
                    <description>Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, slow, and sometimes unsafe, particularly for tasks involving physical interaction. A new AI-based method co-developed by Aston University&#039;s Dr. Alireza Rastegarpanah could revolutionize the way advanced robotic systems are trained for real-life tasks, making them more practical and reliable.</description>
                    <link>https://techxplore.com/news/2026-05-ai-method-robots-lab-skills.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Wed, 06 May 2026 16:40:02 EDT</pubDate>
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                    <title>Stress-testing method for cloud computing algorithms helps avoid network failures</title>
                    <description>Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a cloud service outage that leaves millions of users unable to access applications.</description>
                    <link>https://techxplore.com/news/2026-05-stress-method-cloud-algorithms-network.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 06 May 2026 14:40:03 EDT</pubDate>
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                    <title>A simple physics-inspired model sheds light on how AI learns</title>
                    <description>Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a &quot;black box.&quot; To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.</description>
                    <link>https://techxplore.com/news/2026-05-simple-physics-ai.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 05 May 2026 00:00:01 EDT</pubDate>
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