Research on computing hardware and its future. Covers quantum error-correction, cyber defense, novel materials, and AI frameworks.
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.
KAUST researchers have developed a new method to simulate viscous liquids up to 15 times faster than the current state of the art. This breakthrough enables faster simulations for industrial processes, medical devices, computer graphics, and visual simulations.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.