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Scientists at the University of Amsterdam discovered that our brains automatically understand how we can move through different environments—whether it's swimming in a lake or walking a path—without conscious thought. These "action possibilities," or affordances, light up specific brain regions independently of what’s visually present. In contrast, AI models like ChatGPT still struggle with these intuitive judgments, missing the physical context that humans naturally grasp.
Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states"—a key component for fault-tolerant quantum computers. By pioneering a low-level, or "level-zero," distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.
AI is revolutionizing the job landscape, prompting nations worldwide to prepare their workforces for dramatic changes. A University of Georgia study evaluated 50 countries’ national AI strategies and found significant differences in how governments prioritize education and workforce training. While many jobs could disappear in the coming decades, new careers requiring advanced AI skills are emerging. Countries like Germany and Spain are leading with early education and cultural support for AI, but few emphasize developing essential human soft skills like creativity and communication—qualities AI can't replace.
Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through ultra-thin glass fibers can perform AI-like computations thousands of times faster than traditional electronics. Their system doesn t just break speed records it achieves near state-of-the-art results in tasks like image recognition, all in under a trillionth of a second.
AI researchers in Switzerland have found a way to dramatically cut cement s carbon footprint by redesigning its recipe. Their system simulates thousands of ingredient combinations, pinpointing those that keep cement strong while emitting far less CO2 all in seconds.
Researchers have created a revolutionary robotic skin that brings machines closer to human-like touch. Made from a flexible, low-cost gel material, this skin transforms the entire surface of a robotic hand into a sensitive, intelligent sensor. Unlike traditional robotic skins that rely on a patchwork of different sensors, this material can detect pressure, temperature, pain, and even distinguish multiple contact points all at once.
Researchers have discovered a new class of materials -- called intercrystals -- with unique electronic properties that could power future technologies. Intercrystals exhibit newly discovered forms of electronic properties that could pave the way for advancements in more efficient electronic components, quantum computing and environmentally friendly materials, the scientists said.
A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already outperform classical systems in specific tasks. Notably, this photonic approach could also drastically reduce energy consumption, offering a sustainable path forward as machine learning s power needs soar.
Large language models (LLMs) are at the forefront of artificial intelligence (AI) and have been widely used for conversational interactions. However, assessing the personality of a given LLM remains a significant challenge. A research team has now developed an AI-driven assessment system, the Language Model Linguistic Personality Assessment (LMLPA), with capabilities to quantitatively measure the personality traits of LLMs through linguistic analysis.
The connection between a crumpled sheet of paper and quantum technology: A research team at the EPFL in Lausanne (Switzerland) and the University of Konstanz (Germany) uses topology in microwave photonics to make improved systems of coupled cavity arrays.
Scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers.
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing approaches still face challenges due to hand-induced occlusions and multimodal data fusion. In a new study, researchers developed a novel deep learning framework that addresses these issues by introducing a novel vote-based fusion module and a hand-aware pose estimation module.
Students recently unveiled their invention of a robotic actuator -- the 'muscle' that converts energy into a robot's physical movement -- that has the ability to detect punctures or pressure, heal the injury and repair its damage-detecting 'skin.'
A new AI decision making tool effectively balances various complex trade-offs to recommend ways of maximizing carbon storage, minimizing economic disruptions and helping improve the environment and people's everyday lives. It uses evolutionary AI, a kind of digital version of biological natural selection, to optimize policies in the face of competing priorities.
An international team has explored how in future aerial robots could process construction materials precisely in the air -- an approach with great potential for difficult-to-access locations or work at great heights. The flying robots are not intended to replace existing systems on the ground, but rather to complement them in a targeted manner for repairs or in disaster areas, for instance.
Researchers demonstrated a way to to manipulate electrons using pulses of light that last less than a trillionth of a second to record electrons bypassing a physical barrier almost instantaneously -- a feat that redefines the potential limits of computer processing power.
AI is advancing at such speed that speculative moral questions, once the province of science fiction, are suddenly real and pressing, says a philosopher and psychology researcher Frank Martela. Martela's latest study finds that generative AI meets all three of the philosophical conditions of free will -- the ability to have goal-directed agency, make genuine choices and to have control over its actions. This development brings us to a critical point in human history, as we give AI more power and freedom, potentially in life or death situations.
Researchers have found a way to observe clotting activity in blood as it happens -- without needing invasive procedures. Using a new type of microscope and artificial intelligence (AI), their study shows how platelet clumping can be tracked in patients with coronary artery disease (CAD), opening the door to safer, more personalized treatment.
Recent artificial intelligence advances have largely focused on text, but AI increasingly shows promise in other contexts, including manufacturing and the service industry. In these sectors, targeted AI improvements can improve product quality and worker safety, according to a new study.
Physicists at the University of Colorado Boulder have created a groundbreaking quantum device that can measure 3D acceleration using ultracold atoms, something once thought nearly impossible. By chilling rubidium atoms to near absolute zero and splitting them into quantum superpositions, the team has built a compact atom interferometer guided by AI to decode acceleration patterns. While the sensor still lags behind traditional GPS and accelerometers, it's poised to revolutionize navigation for vehicles like submarines or spacecraft potentially offering a timeless, atomic-based alternative to aging electronics.
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of human disease. In a departure from typical 'black-box' AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.
When it comes to public attitudes toward using self-driving cars, understanding how the vehicles work is important -- but so are less obvious characteristics like feelings of excitement or pleasure and a belief in technology's social benefits.
Scientists have successfully relocated protons outside of an antimatter laboratory with the help of an autonomous, open Penning trap. This breakthrough marks a significant step toward transporting antiprotons produced at the European Organization for Nuclear Research (CERN) to high-precision laboratories, which operate independently of the research facility. Extremely precise measurements to compare matter and antimatter are only possible far from accelerator facilities.
The effects of artificial intelligence on adolescents are nuanced and complex, according to a new report that calls on developers to prioritize features that protect young people from exploitation, manipulation and the erosion of real-world relationships.
Unlike birds, which navigate unknown environments with remarkable speed and agility, drones typically rely on external guidance or pre-mapped routes. However, a groundbreaking development by Professor Fu Zhang and researchers from the Department of Mechanical Engineering of Faculty of Engineering at the University of Hong Kong (HKU), has enabled drones and micro air vehicles (MAVs) to emulate the flight capabilities of birds more closely than ever before.
A tiny magnetic robot which can take 3D scans from deep within the body, that could revolutionize early cancer detection, has been developed by researchers. The team say this is the first time it has been possible to generate high-resolution three-dimensional ultrasound images taken from a probe deep inside the gastrointestinal tract, or gut.
The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient. Instead of taking an iterative approach, the parameters are computed directly based on probabilities. The results so far are comparable in quality to existing iterative methods.
Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. The tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image.
To get around the constraints of quantum physics, researchers have built a new acoustic system to study the way the minuscule atoms of condensed matter talk together. They hope to one day build an acoustic version of a quantum computer.