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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>These AI-powered guide dogs don&#039;t just lead, they talk</title>
                    <description>Guide dogs are powerful allies, leading the visually impaired safely to their destinations, but they can&#039;t talk with their owners—until now. Using large language models, a team of researchers at Binghamton University, State University of New York has created a talking robot guide dog system that determines an ideal route and safely guides users to their destination, offering real-time feedback along the way.</description>
                    <link>https://techxplore.com/news/2026-04-ai-powered-dogs-dont.html</link>
                    <category>Robotics</category>                    <pubDate>Wed, 08 Apr 2026 13:20:01 EDT</pubDate>
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                    <title>Latest Anthropic AI model finds cracks in software defenses</title>
                    <description>Anthropic on Tuesday said its yet-to-be-released artificial intelligence model called Claude Mythos has proven keenly adept at exposing software weaknesses.</description>
                    <link>https://techxplore.com/news/2026-04-latest-anthropic-ai-software-defenses.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Tue, 07 Apr 2026 14:20:01 EDT</pubDate>
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                    <title>New AI video tool removes objects without breaking the laws of physics</title>
                    <description>When movie and TV directors want to tinker with their footage in post-production, they have an array of tools at their disposal to perfect a scene if it wasn&#039;t shot exactly how they liked. That includes removing objects like stray equipment or unwanted background actors. But the tech has its limits when it comes to more complex physical interactions.</description>
                    <link>https://techxplore.com/news/2026-04-ai-video-tool-laws-physics.html</link>
                    <category>Software</category>                    <pubDate>Tue, 07 Apr 2026 11:20:03 EDT</pubDate>
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                    <title>Explainability is a must for older adults to trust AI, study shows</title>
                    <description>Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or older adults aren&#039;t likely to trust them. That&#039;s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).</description>
                    <link>https://techxplore.com/news/2026-04-older-adults-ai.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Mon, 06 Apr 2026 11:20:03 EDT</pubDate>
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                    <title>AI companions can comfort lonely users but may deepen distress over time</title>
                    <description>AI companions are always available, never judge, never tire and never demand anything in return. If someone is struggling with loneliness, this frictionlessness can seem profoundly appealing. However, new research shows that in the long term, seeking emotional support from an AI companion can pull users away from important human relationships.</description>
                    <link>https://techxplore.com/news/2026-03-ai-companions-comfort-lonely-users.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Sat, 04 Apr 2026 12:00:06 EDT</pubDate>
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                    <title>Living brain cells enable machine learning computations</title>
                    <description>A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously carried out by artificial systems. By integrating cultured neuronal networks into a machine learning framework, the team showed that these biological systems can generate complex time-series signals, marking a significant step forward in both neuroscience and bio-inspired computing.</description>
                    <link>https://techxplore.com/news/2026-04-brain-cells-enable-machine.html</link>
                    <category>Hi Tech &amp; Innovation</category>                    <pubDate>Fri, 03 Apr 2026 09:20:01 EDT</pubDate>
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                    <title>New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning</title>
                    <description>In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to produce slow, stable conductance changes, enabling a reinforcement learning (RL) algorithm to learn faster and more stably than conventional approaches.</description>
                    <link>https://techxplore.com/news/2026-04-memristor-built-oxygen-gradient-stability.html</link>
                    <category>Hardware</category>                    <pubDate>Fri, 03 Apr 2026 09:02:29 EDT</pubDate>
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                    <title>Rivalry and collaboration attitudes: Study finds writers need both to thrive in the age of AI</title>
                    <description>When a screenwriter told New York University researchers last year that letting AI do her work would make her &quot;miserable inside,&quot; she was onto something. A follow-up study from NYU&#039;s Tandon School of Engineering and Stern School of Business finds that the instinct to compete with generative AI, rather than simply embrace it, is associated with meaningful long-term benefits for writing professionals.</description>
                    <link>https://techxplore.com/news/2026-04-rivalry-collaboration-attitudes-writers-age.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Fri, 03 Apr 2026 07:00:02 EDT</pubDate>
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                    <title>Crashing waves vs. rising tides: Overturning prior views about how AI could overtake human workers</title>
                    <description>Anthropic CEO Dario Amodei has said that AI could surpass &quot;almost all humans at almost everything&quot; shortly after 2027. While AI&#039;s capabilities are certainly improving, such rapid progress might seem at odds with findings that show AI is still failing at 95%+ of remote freelance projects, and continues to struggle with hallucination, long term planning, and forms of abstract reasoning that humans find easy. But recent work from METR has found evidence that LLMs can gain capabilities in rapid surges—jumping from succeeding almost never to almost always in just a few years. If this is true across the economy, it could mean that workers could be blindsided by AI advances.</description>
                    <link>https://techxplore.com/news/2026-04-tides-overturning-prior-views-ai.html</link>
                    <category>Business</category>                    <pubDate>Thu, 02 Apr 2026 16:20:01 EDT</pubDate>
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                    <title>New method predicts the success of LLMs on untried tasks with high accuracy</title>
                    <description>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&#039;s reasoning capacity.</description>
                    <link>https://techxplore.com/news/2026-04-method-success-llms-untried-tasks.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Thu, 02 Apr 2026 15:20:02 EDT</pubDate>
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                    <title>New AI testing method flags fairness risks in autonomous systems</title>
                    <description>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.</description>
                    <link>https://techxplore.com/news/2026-04-ai-method-flags-fairness-autonomous.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 02 Apr 2026 12:20:04 EDT</pubDate>
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                    <title>Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start</title>
                    <description>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.</description>
                    <link>https://techxplore.com/news/2026-04-fair-decisions-fuzzy-ai-fairness.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 02 Apr 2026 11:40:03 EDT</pubDate>
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                    <title>Brain-inspired chip could make some AI tasks up to 2,000 times more energy efficient</title>
                    <description>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.</description>
                    <link>https://techxplore.com/news/2026-04-brain-chip-ai-tasks-energy.html</link>
                    <category>Hardware</category>                    <pubDate>Thu, 02 Apr 2026 09:00:05 EDT</pubDate>
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                    <title>AI maps science papers to predict research trends two to three years ahead</title>
                    <description>The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even in their own research area. Researchers from the Karlsruhe Institute of Technology (KIT), in collaboration with scientific partners, have shown how new research ideas can still be obtained from this wealth of information. Using artificial intelligence (AI), they systematically analyzed materials science publications to identify potential new avenues of research. Their results have been published in Nature Machine Intelligence.</description>
                    <link>https://techxplore.com/news/2026-04-ai-science-papers-trends-years.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 01 Apr 2026 15:20:05 EDT</pubDate>
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                    <title>VisiPrint system generates realistic 3D-print previews from two images</title>
                    <description>Designers, makers, and others often use 3D printing to rapidly prototype a range of functional objects, from movie props to medical devices. Accurate print previews are essential so users know a fabricated object will perform as expected. But previews generated by most 3D-printing software focus on function rather than aesthetics. A printed object may end up with a different color, texture, or shading than the user expected, resulting in multiple reprints that waste time, effort, and material.</description>
                    <link>https://techxplore.com/news/2026-04-visiprint-generates-realistic-3d-previews.html</link>
                    <category>Engineering</category>                    <pubDate>Wed, 01 Apr 2026 12:20:07 EDT</pubDate>
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                    <title>Combining the robot operating system with LLMs for natural-language control</title>
                    <description>Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can autonomously complete various real-world tasks. To be successfully deployed in real-world settings, such as in public spaces, homes and office environments, these robots should be able to make sense of instructions provided by human users and adapt their actions accordingly.</description>
                    <link>https://techxplore.com/news/2026-03-combining-robot-llms-natural-language.html</link>
                    <category>Robotics</category>                    <pubDate>Wed, 01 Apr 2026 08:10:01 EDT</pubDate>
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                    <title>Chip-scale light technology could power faster AI and data center communications</title>
                    <description>Researchers at Trinity have developed a new light-based technology on a tiny chip that could help make the data centers behind cloud computing, artificial intelligence, and global internet services faster and more efficient. In the new research, recently published in Nature Communications, the Trinity team reported one such promising advance with collaborators at the University of Bath and the Swiss Federal Institute of Technology Lausanne (EPFL).</description>
                    <link>https://techxplore.com/news/2026-03-chip-scale-technology-power-faster.html</link>
                    <category>Telecom</category>                    <pubDate>Tue, 31 Mar 2026 13:40:06 EDT</pubDate>
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                    <title>Robots with different bodies can now share skills: What intention-based learning changes</title>
                    <description>Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.</description>
                    <link>https://techxplore.com/news/2026-03-robots-bodies-skills-intention-based.html</link>
                    <category>Robotics</category>                    <pubDate>Mon, 30 Mar 2026 13:20:04 EDT</pubDate>
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                    <title>HEAPGrasp: A faster, smarter way for robots to handle tricky objects</title>
                    <description>The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.</description>
                    <link>https://techxplore.com/news/2026-03-heapgrasp-faster-smarter-robots-tricky.html</link>
                    <category>Robotics</category>                    <pubDate>Mon, 30 Mar 2026 11:20:03 EDT</pubDate>
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                    <title>AI benchmark helps robots plan and complete their chores in the real world</title>
                    <description>No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.</description>
                    <link>https://techxplore.com/news/2026-03-ai-benchmark-robots-chores-real.html</link>
                    <category>Robotics</category>                    <pubDate>Sun, 29 Mar 2026 11:30:02 EDT</pubDate>
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                    <title>Human creativity still resists automation: Artists rank highest, with unguided AI coming in last</title>
                    <description>New research confirms it: the creativity of artificial intelligence (AI) is a myth. Although current generative AI models may appear to be autonomous creative agents, analyzing their imaginative process step by step reveals that their creative abilities are not genuine. This is the conclusion of a new study published in Advanced Science and led by an international team of experts from the Cognition and Brain Plasticity research group at the Institute of Neuroscience (UBneuro) of the University of Barcelona, the Institute for Biomedical Research (IDIBELL), the Computer Vision Centre (CVC-UAB) and the Vienna Cognitive Science Hub.</description>
                    <link>https://techxplore.com/news/2026-03-human-creativity-resists-automation-artists.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Sat, 28 Mar 2026 12:00:03 EDT</pubDate>
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                    <title>Brain-inspired AI hardware helps autonomous devices operate efficiently and independently</title>
                    <description>The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an object. A Purdue University engineer uses the brain&#039;s efficiency as inspiration to help autonomous vehicles, such as drones and robots, make crucial, time-sensitive decisions while operating in the field.</description>
                    <link>https://techxplore.com/news/2026-03-brain-ai-hardware-autonomous-devices.html</link>
                    <category>Hardware</category>                    <pubDate>Fri, 27 Mar 2026 10:20:05 EDT</pubDate>
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                    <title>Can AI understand literature? Researchers put it to the test</title>
                    <description>Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? These questions around interpretive nuance remain.</description>
                    <link>https://techxplore.com/news/2026-03-ai-literature.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 27 Mar 2026 09:00:01 EDT</pubDate>
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                    <title>ChatGPT&#039;s taste for literary nonsense sparks alarm</title>
                    <description>OpenAI&#039;s GPT models can often be fooled into declaring that &quot;pseudo-literary&quot; nonsense is great, a German researcher has found.</description>
                    <link>https://techxplore.com/news/2026-03-chatgpt-literary-nonsense-alarm.html</link>
                    <category>Machine learning &amp; AI</category>                    <pubDate>Thu, 26 Mar 2026 14:30:01 EDT</pubDate>
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                    <title>AI overly affirms users asking for personal advice, study finds</title>
                    <description>In a new study published in Science, Stanford computer scientists showed that artificial intelligence large language models are overly agreeable, or sycophantic, when users solicit advice on interpersonal dilemmas. Even when users described harmful or illegal behavior, the models often affirmed their choices.</description>
                    <link>https://techxplore.com/news/2026-03-ai-overly-affirms-users-personal.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Thu, 26 Mar 2026 14:00:18 EDT</pubDate>
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                    <title>Video-based AI gives robots a visual imagination</title>
                    <description>In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots &quot;envision&quot; their actions before carrying them out. The system, which uses video to help robots imagine what might happen next, could transform how robots navigate and interact with the physical world.</description>
                    <link>https://techxplore.com/news/2026-03-video-based-ai-robots-visual.html</link>
                    <category>Robotics</category>                    <pubDate>Thu, 26 Mar 2026 10:20:03 EDT</pubDate>
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                    <title>AI system learns to prevent warehouse robot traffic jams, boosting throughput 25%</title>
                    <description>Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small traffic jams or minor collisions can snowball into massive slowdowns. To avoid such an avalanche of inefficiencies, researchers from MIT and the tech firm Symbotic developed a new method that automatically keeps a fleet of robots moving smoothly.</description>
                    <link>https://techxplore.com/news/2026-03-ai-warehouse-robot-traffic-boosting.html</link>
                    <category>Robotics</category>                    <pubDate>Thu, 26 Mar 2026 09:30:01 EDT</pubDate>
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                    <title>Asking AI to act like an expert can make it less reliable</title>
                    <description>To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.</description>
                    <link>https://techxplore.com/news/2026-03-ai-expert-reliable.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Wed, 25 Mar 2026 16:30:04 EDT</pubDate>
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                    <title>Memristor demonstrates use in fully analog hardware-based neural network</title>
                    <description>As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain&#039;s structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.</description>
                    <link>https://techxplore.com/news/2026-03-memristor-fully-analog-hardware-based.html</link>
                    <category>Hardware</category>                    <pubDate>Wed, 25 Mar 2026 15:40:03 EDT</pubDate>
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                    <title>Study finds AI privacy leaks hinge on a few high-impact neural network weights</title>
                    <description>Researchers have discovered that some of the elements of AI neural networks that contribute to data-privacy vulnerabilities are also key to the performance of those models. The researchers used this new information to develop a technique that better balances performance and privacy protection in these models.</description>
                    <link>https://techxplore.com/news/2026-03-ai-privacy-leaks-hinge-high.html</link>
                    <category>Security</category>                    <pubDate>Tue, 24 Mar 2026 12:00:01 EDT</pubDate>
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