Articles tagged with Supercomputing
New York's Empire AI Beta has officially launched, providing world-class AI computing power to researchers across the state. The initiative has served as a model for the federal National Science Foundation's State and Regional AI Infrastructure Hubs, which aim to build out regional AI research infrastructure and shared research capacity.
UniSpec delivers lossless LLM acceleration without retraining while adapting automatically to different hardware platforms and multilingual workloads. The framework achieves up to 2.6× faster inference than existing methods across multiple models, hardware, and languages.
USC researchers have been selected for the U.S. Department of Energy's Genesis Mission to harness artificial intelligence for scientific discovery and innovation. Two projects led by USC will explore ways to develop faster and more energy-efficient computing hardware and better understand the natural concentration of critical minerals.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
Scientists at the Simons Foundation's Flatiron Institute developed a new method that enables faster simulations of molecular behavior without sacrificing accuracy. The breakthrough could significantly reduce time and energy demands for simulations, impacting fields such as material design and drug interactions.
MD4SB integrates molecular dynamics tools into three European Research Infrastructures, enabling researchers to share and reuse data, and accelerate drug discovery. The project also involves pharmaceutical companies like Almirall and Sanofi.
A study by IRB Barcelona and BSC suggests that the origin of complex cells was a longer, more gradual process than previously thought. The researchers identified signals from bacterial groups and giant viruses that may have facilitated gene exchange, contributing to the complexity of eukaryotic cells.
A new research initiative aims to harness the potential of astrocytes, a type of brain cell often overlooked in AI development. By studying how astrocytes process information, researchers hope to create next-generation AI systems that learn faster and adapt more reliably.
A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.
A new AI model, ESFM, has been developed to predict extreme weather events with high accuracy. It learns from complex interactions between atmosphere, land, and water, and integrates multi-source data to analyze trends and relationships within the Earth's weather system.
A recent study by ISGlobal and BSC-CNS reveals that combined short-term exposure to major air pollutants in Europe is associated with approximately 146,500 premature deaths per year. Fine particles (PM₂.₅) are the most harmful pollutant, linked to around 79,000 preventable deaths.
The partnership aims to bridge the gap between fundamental research and real-world deployment of neuromorphic computing technologies. Key findings include the development of proof-of-concept applications, scalable solutions, and training programs for skills development in this rapidly emerging field.
Researchers from MIT developed a technique to detect and precisely measure second-order harmonic corrections in superconducting quantum circuits. This analysis revealed the source of these distortions, which can cause quantum circuits to perform differently than expected.
A recent study from Lancaster University reveals that AI systems like ChatGPT can learn to mirror human impoliteness, potentially escalating into verbal violence. The research tested ChatGPT's ability to respond to real-life impolite interactions, finding it often produces more impolite behavior than humans.
Simon Fraser University (SFU) and Queen's University are partnering to design and build a national sovereign, secure and sustainable high-performance supercomputing system. The collaboration aims to strengthen Canada's sovereign AI supercomputing capacity, support industry innovation, and ensure data security.
Researchers from the University of Jyväskylä predicted that gold nanoclusters can selectively recognize chiral biomolecules, which could aid in detecting diseases directly from a blood sample. The study used computational simulations to examine nearly 300 cluster-biomolecule combinations and found clear differences in their interactions.
The institute will focus on technologies required to operate next-generation AI supercomputer systems reliably while accelerating scientific breakthroughs. It aims to drive innovation in making AI data centers more efficient, reliable, secure, and integrated with the nation's energy system.
The Baskerville National Compute Resource (NCR) will benefit researchers in various disciplines with advanced data processing capabilities. The facility harnesses accelerator technology to process vast amounts of data at incredible speed, helping researchers achieve breakthroughs faster than ever before.
Researchers have introduced QuaTrEx, a software package that combines materials modeling methods to simulate the behavior of nanoribbons made of over 42,000 atoms. This breakthrough enables the simulation of realistic electronic devices, paving the way for improved performance in next-generation transistors.
A UMass Amherst-led study suggests old-school analog computing can improve energy efficiency and computing speed in the IoT. Researchers have developed a brain-inspired sensing system that combines touch sensors and smart memory chips to reduce data transmission speeds.
Researchers at Politecnico di Milano developed a 'smart' chip that dramatically reduces energy consumption while accelerating data processing, achieving similar accuracy to digital systems with lower power consumption and faster performance.
The study reveals that torque maximization arises from both direct collisions and pressure imbalances in gas-liquid interface waves. This phenomenon is significant for energy savings and optimal design in complex industrial equipment, such as power transmission devices, cooling systems, and chemical agitators.
The new Spectra supercomputer at Sandia National Laboratories features a unique chip architecture that prioritizes tasks in real time, promising increased performance and reduced power consumption. Researchers will push the limits of this technology to simulate complex national security tasks.
The EBRAINS Summit 2025 will bring together experts to assess how neuroscience can drive medical progress, digital innovation, and responsible data use. Preliminary results from the EPINOV clinical trial, integrating virtual brain technology for epilepsy surgery planning, will be presented.
The ACM Gordon Bell Prize-winning team developed a full-physics Bayesian inversion framework called 'digital twin' to predict tsunami early warning. This approach enabled real-time, data-driven forecasting with dynamic adaptivity, achieving a ten-billion-fold speedup over existing state-of-the-art methods.
A team of researchers developed a groundbreaking Full Earth System Simulation at 1 km resolution, capturing energy, water, and carbon flow through the atmosphere, ocean, and land. This innovation has enormous potential to provide detailed global information on local scales about future warming implications.
Researchers at RIKEN successfully simulated the Milky Way Galaxy with over 100 billion individual stars, far surpassing previous state-of-the-art models. This achievement demonstrates the power of AI-accelerated simulations in tackling complex multi-scale problems in astrophysics and beyond.
The 'Otus' supercomputer provides a solution to pressing challenges through its massive parallel computing capacity, allowing researchers to simulate complex processes, identify patterns, and make predictions about future developments. The system also promotes sustainability with indirect free cooling and renewable energy sources.
Amarasinghe recognized for groundbreaking work in domain-specific languages and exceptional mentorship, advancing the global computing community. His contributions have successfully bridged the gap between software and hardware to fully exploit modern hardware resources.
The Globus Striped GridFTP framework, introduced in 2005, has had a lasting influence on research and practice in high-performance computing. The paper's techniques have improved data transfer speeds and security, enabling scientists to fully utilize the bandwidth of high-speed research networks.
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.
A recent study used Japan's Fugaku supercomputer to simulate the effects of time-varying dark energy on cosmic evolution. The results show that a higher matter density creates stronger gravitational forces, leading to earlier and more efficient formation of massive galaxy clusters.
Ana Veroneze Solórzano recognized for broadening HPC's societal impact with privacy-preserving mechanisms, while Yafan Huang advances exascale computing with ultra-fast compression algorithms. Both receive fellowships to support their research on high-performance computing applications.
A joint team from The University of Osaka revealed that soft particles exhibit unique focusing patterns compared to rigid particles, influencing their focusing behavior. The study provides fundamental insights into the underlying physics, offering a new theoretical model explaining particle behavior under various flow regimes.
Researchers have developed an emulator called Effort.jl that mimics the behavior of large-scale structure models, allowing for fast analysis on standard laptops. The new model delivers similar accuracy as the original, enabling scientists to analyze upcoming data releases from experiments like DESI and Euclid.
The new Fir supercomputer at Simon Fraser University is a $80m upgrade to Canada's national computing infrastructure, empowering researchers across Canada. With its clean energy and world-class AI infrastructure, Fir will drive research and innovation in fields like tech, life sciences, and healthcare.
The University of Osaka D3 Center has launched a new computing and data platform called OCTOPUS, which promotes open science through technology. The platform offers advanced features such as provenance management, tracking data access and generation across multiple high-performance computers.
A team of researchers is using NCSA resources to simulate the long-term progression of atrial fibrillation, a type of irregular heartbeat. By modeling the heart's electrical activity, they have uncovered a vicious cycle where adaptations to maintain calcium balance lead to continued arrhythmias and eventually a permanent condition.
This book provides a beginner-friendly resource on the impact and evolution of decentralized networks, highlighting their applications in healthcare, supply chains, agriculture, climate monitoring, and education. The authors emphasize sustainability, data security, and ethical tech adoption.
A team of geophysicists from ETH Zurich and SUSTech, China, used computer models to simulate whether a completely liquid core could generate a stable magnetic field. Their simulations showed that the Earth's magnetic field was generated in the early history of the Earth in a similar way to today.
Japanese scientists have identified a novel genetic mutation in Streptococcus pyogenes associated with severe invasive infections. The mutation weakens bacterial growth in human blood and has been found unique to Japanese isolates, indicating a new pathogenic mechanism.
A team of scientists has developed a high-resolution climate model that simulates global climate change at 9 km atmospheric and 4-25 km oceanic scales. The model demonstrates superior performance compared to lower-resolution models, providing detailed regional insights into future climate conditions.
The new compute roadmap aims to improve lives and livelihoods with advanced computing power. It includes investments in AI research, healthcare diagnostics, and renewable energy.
Hypergraph research aims to improve network resilience by analyzing multi-way relationships, enabling more accurate representations of complex systems. By modeling projects within Texas A&M University as hypergraphs, researchers can depict interconnectedness and how individual work affects the entire system.
Researchers used machine learning to simulate galaxy evolution and supernova explosions, achieving speeds four times faster than supercomputers. This breakthrough enables the study of galaxy origins, including the creation of the Milky Way's elements essential for life.
Researchers at Boston University are developing a groundbreaking method for securing sensitive data in the face of emerging quantum computing threats. Their approach, called Encrypted Operator Computing (EOC), merges physics, computer science, and mathematics to enable scalable methods for computing directly on encrypted data.
Researchers developed a new computer modeling approach to simulate the behavior of tiny nanoparticles in the air, improving accuracy and efficiency. This could lead to better monitoring of air pollution and more precise ways of predicting its effects on human health.
OneCareAI applies AI and supercomputing to detect early stroke risk from ECG data obtained with smartwatches, offering a non-invasive solution for personalized risk assessments. The technology has the potential to be extended to other cardiovascular diseases, opening opportunities for scalability.
DELERIA, a novel software platform, is being developed to support the GRETA spectrometer in nuclear physics experiments. The platform enables real-time data analysis, allowing researchers to make critical adjustments during the experiment, leading to faster and more accurate results.
The new Jean Zay supercomputer in France has increased its AI dedicated resources fourfold to 125.9 petaflops, offering free access for thousands of research projects and start-ups. The upgraded machine is expected to accelerate French and European power in artificial intelligence.
This year's ACM awards recognize groundbreaking innovations in autonomous systems, cryptography, and software for parallel computers. Peter Stone receives the Allen Newell Award for contributions to AI, while William Gropp and his team receive the Software System Award for developing MPICH.
A new study from the University of Texas Institute for Geophysics suggests that Mars' molten core could explain its unusual magnetic field. Researchers used computer simulations to model a fully liquid core and found that it could produce a one-sided magnetic field, matching the imprint seen today.
Researchers found a radical new way to move heat, faster than ever before, using hexagonal boron nitride to direct heat like a beam of light. This breakthrough could revolutionize cooling in high-performance electronics, allowing faster and more powerful devices without overheating.
Computer simulations show that captured CO2 can be permanently stored underground by mixing with groundwater, creating a denser liquid that sinks and remains there. Suitable geological conditions, such as impermeable rock layers and porous aquifers, are necessary for effective CO2 storage.
Researchers at NCSA and UICOMP have created an improved, automated screening method for anxiety and depression disorders using machine learning and acoustic analysis of verbal fluency data. The new tool offers promise for overcoming barriers to diagnosis and treatment.
A team of researchers from JPMorganChase, Quantinuum, and the University of Texas at Austin have successfully demonstrated certified randomness using a 56-qubit quantum computer. This achievement has significant implications for cryptography, fairness, and privacy, as it enables the generation of truly random numbers that cannot be man...
Torsten Hoefler's groundbreaking work on high-performance computing and AI has revolutionized the capabilities of supercomputers. His innovations include MPI-3 nonblocking collective operations, 3D parallelism, and routing protocols that power modern AI systems.
Researchers at MIT created a photon-shuttling interconnect that facilitates remote entanglement, a key step toward developing practical quantum computers. The device enables all-to-all communication between multiple superconducting quantum processors, paving the way for more efficient and scalable quantum computing.
The Dark Energy Spectroscopic Instrument (DESI) has released a new dataset containing information on 18.7 million celestial objects, including galaxies, quasars, and stars. This is the largest dataset of its kind ever shared, providing valuable insights into dark energy and the evolution of the universe.
Hebrew University alumni Assaf Rappaport, Ami Lotbek, and Yinon Costica have achieved the largest exit in Israel's history with the acquisition of WIZ by Google. The trio is proud graduates of the university, with Lotbek also holding a master's degree from the School of Engineering and Computer Science.