Articles tagged with Computers
A University of Washington team created a new tool that can design a 3D-printable passive gripper and calculate the best path to pick up an object. The designed grippers and paths were successful for 20 out of 22 objects tested, with two challenging shapes being the wedge and pyramid shape.
Researchers at the University of Innsbruck developed a quantum computer that can perform arbitrary calculations using quantum digits (qudits), exceeding classical computers' efficiency. This innovation unlocks more computational power with fewer quantum particles.
Sandia National Laboratories' Daniel Sinars and Andrew Landahl received the 2021 Ernest Orlando Lawrence Awards for their pioneering work in X-ray diagnostics and transformational quantum error correction protocols. The awards recognize their contributions to national security, quantum computing, and advanced sciences, including the st...
Researchers at Max Planck Institute for Intelligent Systems created a robot dog named Morti that can walk smoothly within an hour. The robot uses a Bayesian optimization algorithm to learn from sensor data and adapts its virtual spinal cord, allowing it to optimize its walking pattern and minimize stumbling.
Researchers developed a novel convolutional neural network for facial expression recognition, outperforming conventional models while being computationally less expensive. The new model achieved an accuracy of 72.4% using only 58,000 parameters.
A UTSA professor will use a five-year $550,000 grant to study natural language processing and develop NLP models tailored to specific population groups. The goal is to improve the accuracy and relevance of these models in everyday applications.
Researchers found that high BMI is a positive factor in eSports performance after prolonged playing time, contrary to the general expectation. Obesity has been linked to lower cognitive flexibility and decision-making abilities in adults, but the study suggests a potential counterexample in the eSports industry.
A new study found that children who participate in extra-curricular activities experience heightened wellbeing, while those glued to screens show lower levels of happiness and health. The research highlights the importance of encouraging children to engage in physical activities beyond screens.
The device can instantly recognize what it sees, like automatic descriptions of pictures taken by a camera or phone, and outperforms the eye in the number of wavelengths it can see. It's uniqueness comes from its ability to integrate three different operations into one, making it many times faster than current technology.
Researchers at University of Virginia are developing long-lived sensors for the Internet of Things (IoT) to reduce maintenance costs and upgrade challenges. The goal is to create an ecosystem that enables sensors to adapt to changing environments, reducing electronic waste.
The University of Illinois Chicago has joined the Co-design Center for Quantum Advantage, a US Department of Energy-funded center focused on building scalable quantum computer systems. The partnership will open new opportunities for UIC students in quantum engineering and collaboration with researchers.
University of Queensland scientists have discovered a way to make molecular switches work at room temperature, paving the way for more efficient and environmentally friendly technologies. This breakthrough could lead to advancements in MRI scans, sensors, carbon capture, and hydrogen fuel cells.
Researchers develop a new method to detect hardware tampering by monitoring systems with radio waves. The technology can protect entire systems, not just individual components, and is suitable for both high-security applications and everyday problems.
PaSh parallelizes Unix shell scripts automatically and accurately, boosting execution speeds by hundreds of times. Researchers tested the system on hundreds of scripts and found no errors, making it accessible to data scientists, biologists, engineers, and economists.
A new AI method can distinguish between the overall sounds of healthy and unhealthy coral reefs, making it a valuable tool for monitoring reef health. The technique uses machine learning to analyze sound recordings and track the progress of reef restoration projects.
A new project led by University of Illinois professor Jingrui He seeks to detect and predict insider threats in large organizations. The team will use multimodal data to identify outliers and rare category types of insider threats and propose dynamic update techniques.
Researchers developed a preference-driven model that uses human users to fine-tune virtual textures, allowing for more accurate and personalized tactile experiences. The technology has applications in various fields, including video games, fashion design, and surgical training.
Snap Inc has endowed a professorship at TU Graz to develop visionary software methods in camera technology and explore new approaches to visual information processing. The professorship will pursue new application ideas for mixed reality, including the fusion of photos with computer-generated content.
Researchers at North Carolina State University have developed FAXID, a hardware-based approach for detecting ransomware that is significantly faster than software-based methods. In proof-of-concept testing, FAXID demonstrated accuracy comparable to XGBoost but with speeds up to 65.8 times faster.
A new clinical decision support software platform reduces harm due to medication errors in the OR by more than 95%. Clinicians using the system work with greater efficiency and provide better care, with improved blood pressure control and accurate pain medication adjustments.
Scientists from the University of Copenhagen have discovered a fundamental property of magnetism that could lead to the development of more powerful and efficient computers. The discovery highlights the potential for magnetism to replace traditional electron-based computing methods.
Scientists at Rochester and Erlangen develop logic gates that operate at femtosecond timescales, paving the way for ultrafast electronics and information processing. The breakthrough involves harnessing and independently controlling real and virtual charge carriers in gold-graphene-gold junctions with laser pulses.
Researchers used a mega-electron-volt ultrafast electron diffraction instrument to study vanadium dioxide's insulator-metal transition. The 'stroboscopic camera' captured the hidden trajectory of atomic motion, showing two stages with non-linear atomic motions in the second stage, influenced by electron orbital forces.
A team of scientists at Argonne National Laboratory has developed a new qubit platform formed by freezing neon gas into a solid and trapping an electron there. The platform shows great promise in achieving ideal building blocks for future quantum computers, with promising coherence times competitive with state-of-the-art qubits.
Researchers from Dartmouth College used artificial intelligence to draft wine and beer reviews, finding agreement between human and machine-generated reviews. The team also developed a system to write review syntheses, aggregating elements from existing reviews to provide limited but relevant information about products.
Researchers developed an AI system using swarm learning to predict cancer from medical images of tissue samples without accessing patient data. The technique improved the detection of genetic changes in colon tumors with high accuracy.
Researchers at UC Berkeley have developed a new material that can significantly reduce the energy required to control advanced silicon transistors. The engineered crystal composed of hafnium oxide and zirconium oxide achieves negative capacitance, which boosts performance by reducing voltage requirements.
Researchers have discovered an elegant equation to approximate the coherence time of materials hosting spin qubits. The team can now estimate coherence times in seconds using just five material properties, facilitating a rapid exploration of new candidate materials.
Researchers at Princeton University have achieved an unprecedented level of fidelity in two-qubit silicon devices, paving the way for the use of silicon technology in quantum computing. The study's findings suggest that silicon spin qubits have advantages over other qubit types, including scalability and size limitations.
A new e-nose prototype, NOS.E, can distinguish between six whiskies by brand names, regions, and styles in under four minutes, with 100% accuracy for region detection and 96.15% for brand name identification. The technology has applications beyond whisky, including counterfeiting detection in perfume and wine.
Behunin's project targets challenges in practical quantum computing by controlling noise and its impact on qubits. By manipulating sound waves, he hopes to quiet the noise that corrupts information stored in quantum computers.
A new brain-computer interface device has been found safe in a small study of people with ALS, allowing participants to communicate through text and perform daily tasks. Researchers have also developed a machine-learning decoder that enables independent computer control without eye tracking.
A team of scientists created a powerful new method for generating protein drugs by designing molecules that can target important proteins in the body. The research yielded candidate medicines for cancer, diabetes, infection, inflammation, and beyond, offering a paradigm shift in drug development.
Scientists have discovered a speed limit for computer chips, with one petahertz being the maximum frequency for signal transmission. The research uses ultra-short laser pulses to create electrical currents in dielectric materials, allowing for faster data transmission.
Researchers at the University of Innsbruck have proposed a method to solve optimization problems using neutral atoms and four-qubit operations. The algorithm can be realized on existing quantum hardware by optimizing laser pulse durations in a feedback loop.
Scientists have achieved efficient quantum coupling between two distant magnetic devices, which can host magnons and exchange energy and information. This achievement may be useful for creating new quantum information technology devices.
Researchers developed a new reading method for SOT-RAMs that can nullify the readout disturbance, reducing it by at least 10 times. The method involves creating a bi-directional read path, cancelling out the disturbances produced by spin currents.
Researchers from the University of Seville have conducted a groundbreaking experiment demonstrating quantum contextuality without loopholes. The study uses atomic ions to show that certain probabilities have a limit, contradicting previous findings.
The MagTrack study successfully completed a collaboration between Georgia Tech and Brooks Rehabilitation, creating a user-ready version of the assistive technology. Participants showed improved performance in controlling their power wheelchairs and connected devices with ease and comfort.
Researchers at Texas A&M University develop new touchscreen technology that can simulate virtual shapes through temperature variation. The approach increases friction at the finger-device level, allowing for immersive and accurate touch experiences.
A new study by University of Cologne researchers reveals that computer games can significantly boost educational success when used effectively in the classroom. The study found that personal characteristics of pre-service teachers play a crucial role in their intention to adopt digital game-based learning, with perceived effectiveness ...
Researchers at HKUST and UChicago have designed the basic elements needed for logic operations using liquid crystals, paving the way for novel computing methods. The team controlled topological defects to perform operations like amplification and switching, opening the door to potential applications in robotics and sensing.
Researchers at Goethe University Frankfurt have grown crystals with rare-earth atoms that exhibit surprising fast magnetic properties. The team found that the strength of these reactions can be adjusted by choosing different atoms, opening up possibilities for optimizing spintronics components.
GIST researchers propose a new strategy for crime prevention using artificial intelligence, trained on a large-scale dataset of deviant incident reports and corresponding images. The model, called DevianceNet, can accurately classify and detect deviant places, making it a useful tool in urban safety development.
Researchers developed DAGguise, a scheme that shapes memory requests into a predefined pattern to prevent contention attacks and enable faster computation. The technique represents programs' memory access requests as a graph, where each request is stored in a node, and the edges are time dependencies between requests.
Researchers explore the intersection of technology, social sciences, and narratives to combat disinformation. Experts discuss how technical solutions can be coupled with social interventions to effectively address the issue.
Researchers analyzed 60 billion tweets to understand vaccine hesitancy on social media. They found that anti-vaxxer profiles often share links to YouTube videos and commercial sites selling alternative health products, highlighting the spread of misinformation in echo chambers.
Researchers developed a system using facial expressions to manipulate objects in virtual reality environments, outperforming handheld controllers in terms of immersion. The technique has potential applications for people with disabilities, including amputees and those with motor neurone disease, allowing hands-free interactions.
Researchers developed a novel method of measuring aortic growth, called vascular deformation mapping, which outperforms standard manual rating methods. The technique uses high-resolution CT imaging to calculate three-dimensional changes in the aortic wall, achieving an accuracy of less than 1 millimeter.
A Swedish research team developed a simple hydrocarbon molecule that changes form and becomes conductive when exposed to electric potential. This breakthrough could lead to the creation of miniature transistors and new mechanical systems at the single-molecule level.
A €16 million project, PhotonQ, is developing a photonic quantum processor to process qubits and reduce error rates. The processor will enable rapid scaling to relevant qubit numbers for practical applications.
A team of researchers from Ritsumeikan University developed an unprecedented stream cipher using chaos theory to create highly secure cryptographic systems. The new system is resistant to statistical attacks and eavesdropping, even against quantum computers, making it a promising solution for post-quantum era cryptosystems.
Researchers at OHSU are developing a new approach to scientific imaging to study the dynamic organization of cells by examining how tiny molecules make cells work. The W. M. Keck Foundation has awarded $1 million to develop a one-of-a-kind imaging and computational system.
A study by Michigan Medicine reveals that 25% of young American men experience both delivering and receiving technology-facilitated abuse. Healthcare providers should consider addressing this issue, as men who have mental health care visits are more likely to be involved in abusive relationships.
Cornell researchers have successfully trained various physical systems, including mechanical, optical, and electrical systems, to perform machine learning tasks. The developed training algorithm enables diverse systems to be chained together for efficient processing.
Researchers at the University of Bristol have reduced simulation time for an optical quantum computer from 600 million years to just a few months, achieving a one-billion-fold speedup. This breakthrough paves the way for future studies on quantum advantage and computational power.
Researchers developed an AI system that can analyze retinal scans to identify patients at high risk of a heart attack over the next year. The system uses deep learning techniques and achieves an accuracy of 70-80%, revolutionizing the way patients are screened for signs of heart disease.
A team of NTU Singapore scientists has developed a predictive computer programme using wearable technology data to detect depression risk. The programme, Ycogni model, achieves an accuracy of 80% in detecting individuals at high or low risk of depression.
A new approach uses reinforcement learning algorithm to help robotic knee mimic intact human knee in walking, achieving 100% success rate on even ground. The technology also adapts to uneven terrain and changes in walking pace, promising a more comfortable experience for prosthetic users.
Researchers developed a novel robotic replica of a human spine with an artificial disc implant and soft magnetic sensor array. The system can classify five different postures of the spine with 100% accuracy, providing physiologically relevant data before invasive surgeries.