Articles tagged with Computers
A team of researchers has developed a new human-in-the-loop system to improve the accuracy and interpretability of deep neural networks. The system uses an interactive one-click method for annotating images, reducing the co-occurrence bias inherent in training datasets.
A University of Central Florida professor led a study identifying six challenges humans must overcome to ensure reliable, safe, trustworthy, and compatible AI. The challenges include responsible design, privacy protection, and respectful interaction with human cognitive capacities.
Researchers at King Abdullah University of Science & Technology (KAUST) successfully integrated two-dimensional materials on silicon microchips, achieving high integration density, electronic performance, and yield. The resulting hybrid devices exhibit special electronic properties that enable low-power consumption artificial neural ne...
A new study found that repeated requests for personal data increase disclosure, despite unchanged concerns about privacy. Researchers suggest practical measures to reduce this effect and encourage mutually beneficial sharing.
Researchers utilize liquid crystal droplets to visualize electric field distribution within microelectrodes, revealing rotational and translational behaviors under applied voltage. The technique provides high spatial resolution and detection accuracy, enabling defect location analysis.
Researchers achieved optical switching of a light signal at attosecond speeds, exceeding data transfer speeds by 1 million times. This breakthrough enables the development of ultrafast optical electronics and could increase data processing speed in long-distance communications.
QUT researchers have solved a long-held geological conundrum about how diamonds formed in the deep roots of the earth's ancient continents. The study used computer modeling on an ancient rock sample to determine that diamonds are rare today and were always rare, challenging the existing explanation.
Researchers developed memristors based on halogenated perovskite nanocrystals for more powerful and energy-efficient computing. Inspired by the human brain's synapses, these components combine data storage and processing, reducing energy consumption.
The team has developed a coupled dipole method-based photonic dispersion solver (CDPDS) online, enabling fast computation and accessibility to general users. The CDPDS provides band dispersions and topological phases of one-dimensional and two-dimensional photonic crystals, making it suitable for rapid simulations and modeling.
The UTSA ScooterLab will collect data on riders' mobility, context and environment to improve sustainable transportation solutions. The project aims to transform the way we think about micro-mobility.
Researchers developed novel memristors with halide perovskite nanocrystals, enabling complex calculations similar to brain processes. The new memristors are faster, more energy-efficient, and easier to manufacture than predecessors.
A new process combining human evaluation and AI optimization produces better designs than fully automated systems or manual approaches. The 'Human-Informed Topology Optimization' method reduces material usage while maintaining strength, and can be applied to various scales and applications.
A new screening tool developed by Cleveland Clinic researchers can effectively detect mild cognitive impairment, early Alzheimer's disease, and other related dementias in older adults. The tool has been shown to identify 90% of patients with mild cognitive impairment, offering a potential solution for early detection and prevention.
Researchers seek to develop algorithms providing meaningful explanations for AI decision-making, enabling higher human trust and adoption in fields like science. The project focuses on symbolic reasoning and estimating explanation accuracy, addressing the need for transparent AI systems.
Researchers create lab-grown brain organoids as biological hardware to drive computing forward. These three-dimensional cultures can process information faster and more efficiently than current silicon computers.
A new cybersecurity framework uses digital twin technology, machine learning, and human expertise to detect cyberattacks in manufacturing processes. The framework analyzes continuous data streams from physical machines and their digital twins to identify irregularities and flag potential threats.
Researchers used machine-learning algorithms to design new light-emitting enzymes called luciferases that can efficiently recognize specific chemicals and emit light. This breakthrough could lead to custom enzymes for a wide range of applications in biotechnology, medicine, environmental remediation, and manufacturing.
Researchers developed a wireless communication system that enables quantum computers to send and receive data using high-speed terahertz waves, reducing power consumption and error-causing heat. The system uses a transceiver chip and tiny mirrors to transmit data wirelessly, making it suitable for large-scale quantum systems.
The NERVE Center has developed test methods and metrics for various robots, identifying limitations to improve systems. The center's success grew its research capabilities through partnerships with NIST and the U.S. Army.
A University of Kansas study analyzed over 1,000 AI-generated ads and found that they are only labeled as ads about half the time, often appealing to consumers in positive ways. The prevalence of AI in programmatic advertising raises concerns about consumer deception and the need for updated guidelines to require transparency.
Researchers have discovered a way to construct and control oxygen-deprived walls in nanoscopically thin materials, which can store data in multiple electronic dialects. These walls can retain their data states even when devices turn off, paving the way for next-gen electronics with enhanced memory capabilities.
The new automated method, called HybridFlow, uses large-scale aerial images to produce precise 3D models of cityscapes and landscapes. This technology has potential applications in natural disaster risk assessment and mitigation, enabling informed decision-making and evaluation of risk-mitigating factors.
The team developed a way to stack red, green, and blue light-emitting diodes to create vertical, multicolored pixels, enabling higher-resolution displays. This technique could enable fully immersive virtual reality experiences and improve digital screens' sharpness and resolution.
Researchers at the University of Rochester develop a new method to control electron spin in silicon quantum dots, paving the way for practical silicon-based quantum computers. The technique harnesses spin-valley coupling to manipulate qubits without oscillating magnetic fields.
Researchers have developed a novel way to measure a quantum device's accuracy by analyzing universal statistical patterns in the noise. This approach takes advantage of the way information is scrambled in quantum systems, allowing for more efficient error detection and verification.
A new Swedish quantum computer is being made available to the industry, accompanied by a test bed and a quantum helpdesk. The test bed will allow companies and researchers to solve problems using quantum technology at a significantly lower cost than existing commercial options.
Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.
Researchers developed a multimodal imaging-based tool, the active biopsy guidance system (ABGS), to improve oral cancer diagnosis. The ABGS provides clinically actionable direct visible guidance for biopsies, enhancing precision and potentially saving lives.
Physicists at MIT and Caltech developed a new benchmarking protocol to characterize the fidelity of quantum analog simulators, enabling high precision characterization. The protocol analyzes random fluctuations in atomic-scale systems, revealing universal patterns that can be used to gauge the accuracy of these devices.
Researchers at Brookhaven National Laboratory have successfully discovered new materials using artificial intelligence and self-assembly. The AI-driven technique led to the discovery of three new nanostructures, expanding the scope of self-assembly's applications in microelectronics and catalysis.
A new study finds that autonomous vehicles could consume enough energy to generate significant greenhouse gas emissions, highlighting the need for rapid advancements in hardware efficiency. To mitigate this, researchers recommend more efficient autonomous vehicles with smaller carbon footprints.
The Norwegian Labour and Welfare Administration's shift to second-generation agile methods resulted in a successful project completion within budget and deadline. This approach prioritizes user friendliness, flexibility, and continuous interaction, reducing administration and coordination time while increasing productivity.
Researchers have developed a diffractive optical processor that can compute hundreds of transformations in parallel using wavelength multiplexing. The processor, which is powered by light instead of electricity, can execute multiple complex functions simultaneously at the speed of light.
The Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP) aims to develop new fundamental technology solutions to reduce energy consumption in microprocessors. The center will focus on materials discovery, heterogeneous 3D integration, and highly energy-efficient circuits and architectures.
Researchers at University of Copenhagen developed a method to map individual trees' carbon content using aerial images, improving accuracy and enabling better comparisons between countries. The method supports Rwanda in verifying commitments under schemes like REDD+ and AFR 100.
The UTEP-led Computing Alliance will receive $4.8M from Google to improve diversity in computer science fields. The project aims to attract, prepare and support Hispanic students for graduate degrees, with initiatives including lab design, financial support and research collaborations.
Researchers at Ruhr-University Bochum have developed a novel approach to water-based circuits using laser technology. The method creates an ultra-fast liquid switch that can conduct electricity at terahertz frequencies, similar to metals.
Using supercomputers and machine learning, researchers created simulations of millions of computer-generated universes to test astrophysical predictions. The study found that supermassive black holes grow in the same way as their host galaxies, revealing a long-elusive relationship.
Researchers developed an accurate predictive model to distinguish between COVID-19 positive and negative test outcomes. The study found that symptom features, such as fever and difficulty breathing, play a significant role in predicting test results, with molecular tests yielding lower positive rates due to their dependence on viral load.
A pilot study conducted at Brigham and Women's Hospital found that a low-cost computer vision system was feasible and well-received by employees. The system accurately detected mask adherence 100% of the time, with most participants experiencing a positive interaction.
Ethereum's shift from proof-of-work to proof-of-stake has significantly reduced its energy requirements. This change offers a model for other cryptocurrencies to follow and reduce their environmental impact. Policymakers and consumers can support this move by implementing policies such as carbon-disclosure requirements and environmenta...
Scientists at KAUST created a novel approach to secure microgrids by embedding hardware performance counters in solar inverters. This innovative solution can detect malware with over 97% accuracy using time series classifiers, providing an effective defense countermeasure for low-cost and low-complexity.
A new study using artificial intelligence has found that a simple eye test can accurately predict the risk of heart disease. The researchers developed an algorithm that can analyze retinal images to assess cardiovascular health, providing a non-invasive alternative to traditional risk scores.
Researchers at the University of Chicago have discovered a new material, MnBi6Te10, that can be used to create quantum highways along which electrons can move. The material acts as a 'magnetic topological insulator,' shuttingtling electrons around its perimeter while maintaining their energy and quantum properties.
Screen time increased by 52% during the pandemic, with significant increases for individuals ages 12-18 and handheld devices/personal computers.
Researchers at FAU aim to empower amputees to maximize their individual potential for controlling the full dexterity of artificial hands using a novel bimodal skin sensor and machine learning algorithms. The project will develop customized prosthetic sockets and training programs to overcome limitations with current sensing technology.
Scientists developed new cyanopyrazine-based fluorophores that are 2.4 to 20 times more intense than analogues. The presence of a cyanogroup significantly increases the efficiency of OLEDs, leading to improved brightness.
A new study found that increasingly complex mathematical models can produce more uncertain estimates, limiting their usefulness for informing real-world policy decisions. Researchers recommend reassessing the drive to create detailed models and suggest calculating the model's effective dimensions before adding complexity.
A team of Illinois Tech researchers used machine learning to estimate the age and gender of individual users with high accuracy, raising questions about data security and privacy. The study highlights the need for better regulations and best practices to protect personal information from being misused.
Researchers successfully taught human and mouse neurons to play the video game Pong in real-time, showcasing their ability to exhibit sentience and adapt to a changing environment. The study's findings have potential applications in disease modeling, drug discoveries, and expanding our understanding of brain function.
Researchers developed a smart mouthguard that translates complex bite patterns into instructions to control devices such as computers, smartphones and wheelchairs. The device achieves 98% accuracy and has the potential to support individuals with limited dexterity or neurological disorders.
A team of researchers at Harvard University has developed an ionic circuit that performs analog matrix multiplication, a key operation in neural networks, using ions in liquid. The breakthrough uses a pH-gated ionic transistor and expands to a 16x16 array for more complex computations.
Researchers use classical computers to make predictions about quantum systems, helping to solve physics and chemistry problems. Machine learning tools provide a bridge between the human world and quantum reality.
A study from the University of Georgia shows people who rely on algorithms for creative tasks don't improve their performance and are more likely to trust low-quality advice. Participants preferred algorithm-derived advice over human-based advice, even when confident in their answers.
Researchers at the Max Planck Institute have successfully generated up to 14 entangled photons using a single atom, enabling efficient creation of quantum computer building blocks. This breakthrough could facilitate scalable measurement-based quantum computing and enable secure data transmission over greater distances.
Researchers create a mathematical framework for probabilistic computing using magnetic tunnel junctions, which can infer potential answers from complex input. This technology could revolutionize data interpretation and pattern recognition.
A new study from the University of Florida finds that smartphones encourage consumers to prefer customized options, leading to increased self-expression and altered behaviors. The researchers suggest that companies should adapt their offerings based on device usage to tap into this trend.
MIT researchers found a vulnerable component in computer processors that can be exploited by malicious agents. They developed two mitigation strategies, including scheduling sensitive software on less vulnerable cores and reserving susceptible cores for trusted applications.
Researchers at the University of Virginia School of Medicine have successfully engineered a material that can conduct electricity with zero resistance, paving the way for revolutionary technologies. The breakthrough uses DNA to guide chemical reactions, overcoming a long-standing challenge in materials science.
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.