Research on computing hardware and its future. Covers quantum error-correction, cyber defense, novel materials, and AI frameworks.
Researchers at Tohoku University have developed a nanosecond operation technology for the spintronics-based probabilistic bit, enabling faster computation speeds and accuracy. The device, with an in-plane magnetic easy axis, achieves 100 times faster relaxation times than previous records.
Researchers at Osaka City University have developed a new quantum algorithm, BxB, which calculates energy differences directly to predict electronic states of atoms and molecules with chemical precision. The algorithm achieves this with half the number of qubits required by the existing Quantum Phase Estimation (QPE) method.
Researchers at Florida State University developed a method to automatically infer parameters used in quantum Boltzmann machines, which can be applied to train artificial neural networks for tasks like image recognition and drug discovery.
Researchers at the University of Cambridge have identified a new material that can switch between a window and a mirror in a quadrillionth of a second, paving the way for faster computing. The material, Ta2NiSe5, exhibits ultra-fast switching capabilities, surpassing current computer speed.
The new technology minimizes hardware limitations, enabling continued increases in computing speed and scale. Toshiba expects the new scale-out approach to bring significant benefits to financial transactions and robotics industries.
A new deep-learning algorithm, CARRL, is designed to help machines build a healthy skepticism of their measurements and inputs. By combining reinforcement-learning algorithms with deep neural networks, researchers created an approach that outperformed standard machine-learning techniques in scenarios with uncertain and adversarial inputs.
Wild greater mouse-eared bats use extremely weak prey echoes that are like whispers to humans, allowing them to focus on their next meal. The bats control the strength of their returning echoes by calling louder or weaker, using this strategy to simplify their information and process.
Researchers at MIT have developed a new type of control system that allows soft-bodied robots to turn rigid on demand. This advancement could enable robots to combine the strength and precision of rigid robots with the fluidity and safety of soft ones, leading to improved performance in various tasks such as caring for human patients.
A recent study published in Information & Management found that human analysis can effectively identify fake online reviews by leveraging linguistic characteristics. Researchers asked participants to distinguish between authentic and fake hotel reviews, with surprisingly effective outcomes.
The study analyzed subtitles of 2,000 films from the past seven decades to find consistent biases in Bollywood and Hollywood movies. Bollywood films consistently depicted fair skin as a beauty standard, while male characters made up about 60-65% of all pronouns used.
Researchers from Ruhr-University Bochum found that computerised training can reduce PTSD symptoms by helping patients reappraise trauma memories. Patients who underwent the 'Cognitive Bias Modification-Appraisal' training showed fewer trauma-relevant symptoms and lower stress hormone levels compared to those in a control group.
A new study from the University of Illinois at Urbana-Champaign found that the incidence of prolonged hiring difficulties for STEM workers in the IT help desk sector is modest, with only 11%-15% of vacancies showing signs of persistent hiring frictions. The researchers identified organizational characteristics, management strategy, and...
Scientists used theoretical calculations to predict electronic states in topological insulators excited with laser beams, generating Dirac states that can act as if massless. This discovery may pave the way for new computers systems that waste less energy.
Researchers at the University of Sussex have created the tiniest microchips using graphene and other 2D materials through a process called 'nano-origami'. By crinkling graphene, they demonstrated that it can behave like a transistor, leading to smaller and faster devices.
A study of 19,732 participants found that using fillers dissimilar to the suspect increased correct identification without wrongly identifying innocents. This method may improve lineup accuracy and reduce wrongful convictions.
A mathematician from RUDN University developed a stable difference scheme to solve inverse problems in elliptic-telegraph and differential equations. The scheme was tested both analytically and numerically, demonstrating absolute stability and independence from calculation step size.
AI researchers have developed a method to train neural networks to predict the function of DNA sequences, allowing for deciphering larger patterns. This breakthrough enables analysis of complex DNA sequences critical to development and disease, potentially improving understanding of gene regulation and its impact on diseases.
The Ramanujan Machine generates mathematical conjectures without proof, imitating Ramanujan's intuition using AI and computer automation. It has already produced known formulas for pi, Euler's number, and other constants, as well as several unknown conjectures.
Researchers at Tufts University have created flexible thread-based sensors that can measure movement of the neck, providing data on direction, angle of rotation, and degree of displacement. The technology has potential implications for tracking health and performance, with applications in athletic performance, worker fatigue, physical ...
Researchers have discovered a method to produce silicon at room temperature using electrical currents instead of extreme heat, which could slash energy use and cost in the industry. This technique replaces thermochemical processes with electrochemical processes, converting clean electricity into chemical energy.
Researchers in Arizona State University's Biodesign Center explore how evolutionary computation simulates nature's evolution principles, enabling machines to find novel solutions to complex problems. The study highlights six hallmarks of Darwinian evolution and demonstrates progress in applying these features to AI and engineering design.
Scientists are using AI to identify insects at supernatural speed, opening up new possibilities for discovering unknown species and tracking their life across space and time. Insects have diverse life histories and roles in ecosystems, making manual observation and counting a time-consuming process.
A Sandia Labs research team used machine learning to complete materials science calculations 42,000 times faster than normal, accelerating the creation of new technologies for optics, aerospace, and energy storage.
A new device developed by UC Berkeley engineers can recognize 21 individual hand gestures, including a thumbs-up, for controlling prosthetics or interacting with electronic devices. The system uses advanced AI and wearable biosensors to maintain user privacy and improve human-computer interaction.
Researchers at Chalmers University successfully execute QAOA algorithm on 2-qubit quantum computer to solve aircraft route assignment problem, demonstrating potential for practical applications. The algorithm's scalability suggests it could handle larger problems, paving the way for a useful quantum computer.
A new AI model has shown promise in generating faster and more accurate weather forecasts by analyzing past weather patterns. The model uses about 7,000 times less computing power than traditional forecasting models while still simulating a year's weather around the globe.
The electronic amoeba, an analog computer inspired by a single-celled organism, has been developed to find approximate solutions to the traveling salesman problem in linear time. The device uses resistance values to represent constraints and requests, allowing for efficient and dynamic optimization.
Researchers at MIT have found a way to overcome oxide trapping issues, allowing InGaAs transistors to compete with silicon technology. The alloy's electron transport properties enable faster calculations and improved energy efficiency.
A new approach to neuromorphic computing has been demonstrated using micrometer-sized wafers, enabling fast and energy-efficient pattern recognition. The HZDR team's component exploits spin waves to process information without moving electrons, promising applications in AI-powered smartphones and traffic optimization.
Researchers at the University of Copenhagen find that computer algorithms cannot optimize packing of objects in two dimensions without overlap beyond four or five items. The study's findings have significant implications for industries such as clothing manufacturing and metal processing, where efficient material cutting is crucial.
Scientists track animal activity levels using new satellite technology, providing insights into their responses to environmental changes. The study's findings open up new research opportunities for understanding climate change impacts on marine species.
Mathematicians from RUDN University developed new symbolic integration functionality for the Sage system, building on 19th-century ideas by Karl Weierstrass. The team confirmed that Weierstrass's theory can determine whether an integral can be calculated in elementary functions.
Researchers found that people who move their mouse towards a safe option may be more risk-averse than they appear, while those who veer towards a risky option may be more open to risk. The study used mouse tracking to analyze participants' decision-making and found accurate predictions of future behavior.
A new study from Children's Hospital Los Angeles shows that machine learning can accurately identify patients with congenital adrenal hyperplasia (CAH) using subtle facial features. The research uses facial morphology to detect differences in CAH patients and correctly identifies them with greater than 90% accuracy.
Researchers at the University of Illinois developed a new method that combines machine learning and physics to simulate turbulent flow, allowing for more accurate predictions in aerospace engineering. This method has the potential to improve design efficiency and reduce costs in industries such as air travel and spacecraft development.
Stony Brook University has installed a new supercomputer, Ookami, powered by the HPE Apollo 80 system and Fujitsu A64FX processor, offering a balance of high performance and power efficiency. The system is supported by Bright Cluster Manager software and will be available for researchers nationwide to test new computing technologies.
Researchers discovered a two-layer buckled honeycomb structure of blue phosphorene with extremely stable metallic properties, promising applications in nano- and optoelectronics.
Kevin Moran and collaborators study automated bug report quality and chatbot design for effective bug-reporting. The project aims to improve computer systems' reliability through better bug-reporting processes.
A new AI-based method has been developed to detect small, imperceptibly tiny earthquakes that occur on the same faults as bigger earthquakes. This technology could provide insights into how earthquakes interact and spread out along the fault, allowing for a clearer view of earthquake patterns.
Researchers at UCF are working with Adobe to develop personalized reading formats that enhance reading speed and comprehension. Early studies have shown a 25% increase in reading acceleration using Liquid Mode technology.
Watching high-quality nature programs on TV can uplift moods and reduce negative emotions, while experiencing virtual reality nature can lead to increased positive feelings and a stronger connection to the natural world. The study found that interactive VR experiences had the most significant benefits.
Computer scientists at Saarland University have developed a method to produce special textiles with electronic properties through a dyeing process. This allows for the creation of e-textiles that can be integrated into IT devices without affecting their original properties.
Researchers at Aalto University conducted the first empirical study on mobile app design, finding that larger and brighter elements don't catch users' eyes. Instead, text elements and specific locations like the top-left corner tend to draw attention.
Researchers have found that EEG-based BCI speller output can be easily manipulated by tiny adversarial noise, exposing a critical security concern. This manipulation can lead to user frustration or severe misdiagnosis in clinical applications.
Researchers at Cold Spring Harbor Laboratory have developed an AI tool that can efficiently recognize neurons in microscope images, significantly improving the accuracy of automated tracing and analysis. This breakthrough aims to untangle the mysteries of brain connectivity and enable humans to think about how brains work.
Researchers at Osaka City University have developed a quantum algorithm that removes pesky spin contaminants from chemical calculations on quantum computers. This breakthrough enables precise and accurate predictions of atomic and molecular behavior, which is crucial for applications such as pharmaceuticals and materials research.
A team of researchers at UC Berkeley has created the last tool in the toolbox for building working carbon circuits, a metallic wire made entirely of carbon. This breakthrough enables the creation of more efficient carbon-based transistors and ultimately, computers that can switch many times faster and use less power.
Researchers found that meditation training significantly improved brain-computer interface (BCI) control and proficiency in just eight lessons. Brain activity patterns correlated directly with success, with meditation-trained individuals showing enhanced alpha rhythm modulation.
Swiss Center for Electronics and Microtechnology engineers developed an approach to overcome the initial trial-and-error phase of reinforcement learning. This allows computers to quickly find the right path without extreme fluctuations, slashing energy use by over 20% in complex systems.
A team of researchers, led by Gautam Das at the University of Texas at Arlington, is working on a human-in-the-loop framework to optimize the data science pipeline. This approach involves humans adding context to datasets, which can help computers determine what information is relevant, making the process faster and less labor-intensive.
Researchers at the University of Helsinki developed a technique that models visual perception by monitoring human brain signals, allowing computers to generate new information and create images matching users' intentions. The accuracy of this method was 83% in an experiment where participants focused on certain features.
A semi-automatic phone triage system designed to help people with chest discomfort during out-of-hours periods has been found to be unsafe and unreliable. The system underestimated the severity of more than a quarter of patients with serious heart conditions, highlighting the need for input from nurses to ensure accurate assessment.
Experts have documented and analyzed hitherto unknown details in the muqarnas of the Lions' Courtyard at the Alhambra, revealing a different configuration and number of pieces between the two temples. The research also detected geometric deformations due to centuries-old repairs.
Vera Demberg is working with computer systems that can explain or summarize content, aiming to reduce misunderstandings and ensure natural human-computer interaction. She aims to model individual language comprehension and create a system that adapts to individual users' manner of expression.
Researchers developed a machine learning approach to examine placentas, decreasing healthcare costs and allowing more women to be informed of their health risks. The algorithm can identify diseased blood vessels indicating preeclampsia risk with high accuracy.
A new study by the Murdoch Childrens Research Institute found that grade 3 students who watched more than two hours of TV daily or spent more than one hour a day on a computer experienced a decline in academic results two years later. Heavy TV use was associated with a loss of four months in learning by age 10, while heavy computer use...
A new study found that heavy television use and computer use in late childhood are linked to poorer reading and numeracy skills. Children who used electronic media for more than 1 hour per day showed a significant decline in academic performance compared to their peers.
Researchers at Purdue University have developed a new theory that may lead to systematic design of quantum algorithms, outperforming classical computers. The theory identifies large groups of quantum states with polynomial complexity, allowing for efficient coefficient sampling procedures to determine their suitability.
Santa Fe Institute researchers Artemy Kolchinsky and David Wolpert present a new framework for understanding the relationship between energy and computation in Turing machines. They derive relationships between algorithmic information and energy, showing that computations with more compressible outputs require more energy.
Research found a 6% reduction in excessive prescribing of reliever inhalers after an electronic alert was introduced, with also increases in asthma reviews and reductions in exacerbations. The study suggests the alert prompts a review of patients who may have poor asthma control.