Researchers developed a photospike-based TRNG that harnesses unpredictable light-induced electrical charges to generate true random numbers. The device passed all 15 randomness tests and remained stable over millions of cycles, making it suitable for image authentication and deepfake detection.
New research from the University of East London suggests that machine learning can improve the accuracy and nuance of personality tests like DISC assessment. Using over 1,000 participants, researchers achieved accuracy rates of over 93% in predicting personality types and identified four clear clusters with subtle overlaps.
The team created a specialized two-dimensional thin film dielectric designed to replace traditional heat-generating components in integrated circuit chips. This breakthrough aims to reduce the significant energy cost and heat produced by high-performance computing necessary for AI.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
Engineers mimic natural shells' behavior by programming individual layers of synthetic material to collaborate under stress, expanding design space for nonlinear stress-strain responses. The new framework enables multistage responses that adapt to collision severity, improving wearable bandages and car bumpers.
The U.S. Department of Energy has selected Kate Petersen Mace as the project director for the High Performance Data Facility (HPDF), a first-of-its-kind project providing resources for data-intensive science. Mace will lead the team in developing transformational capabilities to serve the DOE community.
The High Performance Data Facility Hub will provide researchers with unprecedented data management resources, accelerating scientific discovery through seamless access to large and complex datasets. The hub will be led by Jefferson Lab and partner with Lawrence Berkeley National Laboratory.
Rice University's ROBE Array algorithm slashes the size of DLRM memory structures, allowing training on 100 megabytes of memory and a single GPU. The method matches state-of-the-art DLRM training methods with improved inference efficiency.
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 Nara Institute of Science and Technology developed a new calibration method to compensate for variations in illumination while scanning stained-glass windows. This approach can help capture the colors of cultural artifacts in a lifelike way, even with long scanning times.
A new microscope allows for real-time aberration-free dynamic speckle microscopy using compressed time-reversal matrix technology. This enables almost real-time volumetric adaptive optical imaging with reduced data acquisition time and improved lateral resolution.
The Sustainable Agriculture Matrix provides a comprehensive assessment of agricultural sustainability at a national level, considering environmental, economic, and social impacts. The framework helps governments and organizations evaluate progress, identify priorities for improvement, and inform policies towards sustainable agriculture.
DistME developed by DGIST team is a fast and elastic distributed matrix computation engine using GPUs. It can analyze 100 times larger matrix data than SystemML, achieving 6.5-14x speedup over ScaLAPACK.
Data from the U.S. Geological Survey's Mid-Atlantic Resource Imaging Experiment (MATRIX) provides new insights into gas hydrate features and structures below the seafloor. The research cruise acquires over 2,000 kilometers of marine seismic data, revealing shallow gas deposits and structural features beneath methane seeps.
A large community-based registry of patients treated with drug-eluting stents found that nearly a third of patients stopped taking clopidogrel by one year, but many returned to the medication. Patients who discontinued clopidogrel had a higher risk of death compared to those who continued taking the medication.