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ScienceDaily

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ABOUT THIS FEED

ScienceDaily is a leading online science news aggregator, providing accessible summaries of academic research across fields. The Artificial Intelligence RSS feed curates the latest findings from universities, research institutes, and scientific journals, presenting complex AI advancements in plain, engaging language. Articles typically summarize peer-reviewed studies, making this feed valuable for students, professionals, and the general public looking to stay informed without wading through dense academic papers. Coverage spans areas such as machine learning breakthroughs, robotics, neural networks, and real-world applications in healthcare, business, and the environment. With frequent updates, it helps readers stay on top of cutting-edge discoveries, often before they reach mainstream outlets. This feed is especially useful for those interested in research-driven AI insights, keeping them connected to emerging scientific trends while offering digestible and accurate reporting.

  • Scientists reveal a tiny brain chip that streams thoughts in real time

    BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent. Initial clinical work shows it can be inserted through a small opening in the skull and remain stable while capturing detailed neural activity. The technology could reshape treatments for epilepsy, paralysis, and blindness.

  • This tiny implant sends secret messages to the brain

    Researchers have built a fully implantable device that sends light-based messages directly to the brain. Mice learned to interpret these artificial patterns as meaningful signals, even without touch, sight, or sound. The system uses up to 64 micro-LEDs to create complex neural patterns that resemble natural sensory activity. It could pave the way for next-generation prosthetics and new therapies.

  • Scientists uncover the brain’s hidden learning blocks

    Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that the prefrontal cortex assembles these blocks like Legos to create new behaviors. This flexibility explains why humans learn quickly while AI models often forget old skills. The insights may help build better AI and new clinical treatments for impaired cognitive adaptability.

  • Physicists reveal a new quantum state where electrons run wild

    Electrons can freeze into strange geometric crystals and then melt back into liquid-like motion under the right quantum conditions. Researchers identified how to tune these transitions and even discovered a bizarre “pinball” state where some electrons stay locked in place while others dart around freely. Their simulations help explain how these phases form and how they might be harnessed for advanced quantum technologies.

  • A single beam of light runs AI with supercomputer power

    Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems.

  • New prediction breakthrough delivers results shockingly close to reality

    Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests on medical and health data showed it often outperforms classic approaches. The discovery could reshape how scientists make reliable forecasts.

  • Artificial neurons that behave like real brain cells

    USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.

  • Too much screen time may be hurting kids’ hearts

    More screen time among children and teens is linked to higher risks of heart and metabolic problems, particularly when combined with insufficient sleep. Danish researchers discovered a measurable rise in cardiometabolic risk scores and a metabolic “fingerprint” in frequent screen users. Experts say better sleep and balanced daily routines can help offset these effects and safeguard lifelong health.

  • Breakthrough optical processor lets AI compute at the speed of light

    Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated diffraction and data preparation modules enable unprecedented speed and efficiency for AI tasks. Demonstrations in imaging and trading showed improved accuracy, lower latency, and reduced power demand. This innovation pushes optical computing toward real-world, high-performance AI.

  • Stanford’s tiny eye chip helps the blind see again

    A wireless eye implant developed at Stanford Medicine has restored reading ability to people with advanced macular degeneration. The PRIMA chip works with smart glasses to replace lost photoreceptors using infrared light. Most trial participants regained functional vision, reading books and recognizing signs. Researchers are now developing higher-resolution versions that could eventually provide near-normal sight.