Computer Processing
Articles tagged with Computer Processing
AI-embodied surgical robots can revolutionize surgery—if regulatory questions addressed
Experts warn that AI-enhanced surgical robotics could enable true personalized surgery and enhance surgical team performance. However, regulatory reforms are needed to address risks from adaptive systems and ensure patient benefits.
Inspired by the brain, researchers build smarter, more efficient computer hardware
Blockchain study highlights sharp energy savings shift
A new study by the University of East London found that newer blockchain systems significantly reduce energy consumption, from 100-150 TWh per year for Bitcoin to negligible amounts. This shift has already led to reductions in network energy use and enables wider adoption at scale.
A faster way to estimate AI power consumption
MIT researchers have created an 'EnergAIzer' method that generates reliable results in seconds, allowing data center operators to optimize resource allocation and reduce energy waste. The tool leverages patterns from AI workloads and software optimizations to provide fast but accurate power estimates.
New 3D device harnesses living brain cells for computing
Researchers at Princeton University have developed a 3D device that combines living brain cells with advanced electronics to recognize patterns using computational techniques. The device creates a vast 3D network of neurons that can be used for computation, offering a potential solution to the energy bottleneck in modern AI technology.
Beyond silicon: the soft, dissolvable brain chips engineered to learn and vanish
Artificial synapses are built from soft, bio-friendly materials that operate like human brain synapses, merging data storage and computing into a single unit. Laboratory prototypes demonstrate immense capabilities, consuming energy on the scale of femtojoules.
New AI Tool Helps Computer Architects Boost Processor Performance
Researchers developed a new AI-assisted tool called CacheMind to improve cache performance and reduce evictions. The tool uses causal reasoning to analyze fine-grained details about system behavior, enabling computer architects to identify patterns and implement fixes.
Information retrieval pioneer Ricardo Baeza-Yates earns major accolade
Ricardo Baeza-Yates has made fundamental contributions to computer science through his pioneering work in algorithms and information retrieval. He has fostered a vibrant transnational research community across Latin America, inspiring young people with the South American Programming Contest.
NTU Singapore and AUMOVIO launch second phase of partnership to drive innovation for tomorrow’s AI-defined vehicles
The AUMOVIO-NTU Corporate Lab will focus on areas like AI, sustainability, novel materials, and connectivity to develop solutions for safer, smarter, and more sustainable transportation. The joint lab aims to accelerate innovations that can support Singapore's future mobility ecosystem.
From measurement to meaning: new research introduces a learning architecture for the age of AI
A new study proposes a learning architecture that integrates educational philosophy with AI-driven design, aiming to transform assessment into an ongoing process of reflection. The system prioritizes human judgment and interpretation over standardized metrics, enabling educators to build adaptive and interpretable feedback systems.
Using ‘imaginative’ AI to survey past and future earthquake damage
Researchers developed an AI model to create highly photorealistic 3D reconstructions of ground-level damage after earthquakes. The LoRA-Enhanced Ground-view Generation diffusion model can recognize complex visual patterns and predict where structures may be damaged, even in densely populated urban areas.
New computer chip material inspired by the human brain could slash AI energy use
Researchers developed a new type of nanoelectronic device mimicking the human brain's efficient neuron connections, reducing energy consumption for AI systems. The hafnium-based devices achieve switching currents millions of times lower than conventional devices and store programmed states for around a day.
Millions of protein complexes added to AlphaFold Database shed light on how proteins interact
Scientists have added millions of protein complex structures to the AlphaFold Database, shedding light on how proteins interact. The dataset prioritizes human health and disease research, enabling researchers to test, refine, and build upon it.
ARU Arm AI Lab powers up on Cambridge campus
The ARU Arm AI Lab will provide researchers and students with access to advanced Arm AI technology, focusing on real-world applications in healthcare and life sciences. This partnership will also support emerging talent and drive innovation, building on existing collaborations and industry projects.
Study finds next-generation transistor performance inflated in most lab testing
Study by Duke engineers reveals that a common device architecture used to test 2D transistors overstates their performance prospects up to sixfold. The back-gated architecture amplifies the transistor's performance using contact gating, but has physical limitations that prevent its use in commercial technologies.
University of Birmingham to host national computing center
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.
AI energy use: New tools show which model consumes the most power, and why
Researchers developed open-source software to measure AI model energy use, revealing trends in how design affects power requirements. The tool can automate the search for efficient parameters, helping lower energy costs and environmental impact.
ACM launches CAIS 2026, a new conference on AI and agentic systems
Researchers will gather to discuss how to engineer AI systems that work in the real world, focusing on composition, optimization, verification, and evaluation. The conference aims to establish shared foundations for a new class of software, including methods for evaluating models and ensuring durability, efficiency, and dependability.
Turning down the heat
A University of Houston professor has found that tree-like thin films release heat at least three times better than traditional methods, enabling more efficient cooling in AI data centers. The discovery demonstrates the power of physics-aware AI design for validating high-impact cooling solutions.
Robots that can see around corners using radio signals and AI
Researchers at the University of Pennsylvania have developed HoloRadar, a system that enables robots to reconstruct hidden 3D spaces beyond their line of sight using radio waves processed by AI. This capability can improve safety and performance in driverless cars and cluttered indoor settings.
NTU Singapore launches three new space projects under Singapore’s Space Access Programme
NTU Singapore is launching three new space projects under the Space Access Programme to accelerate the commercialization of space technologies. The projects include an AI-enabled satellite, a nanosatellite testing next-generation solar cells, and another nanosatellite with advanced propulsion systems.
Scientists empower an AI foundation model to accelerate plant research
A new method called Distributed Cross-Channel Hierarchical Aggregation (D-CHAG) accelerates analysis of hyperspectral data, enabling faster AI-guided discoveries for high-performing crops. The approach reduces computational bottleneck and increases efficiency, making it possible to extract subtle patterns in plant physiology.
Powering AI from space, at scale
Researchers have developed a passive, solar-powered orbital data center that can scale AI computing and reduce environmental impact. The system leverages decades of research on 'tethers' and could host thousands of computing nodes to replicate terrestrial data centers.
A 'smart' chip that reduces both consumption and computing time marks a breakthrough in high-performance computing at Politecnico di Milano
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.
Twist to reshape, shift to transform: Bilayer structure enables multifunctional imaging
A reconfigurable optical computing platform based on a double-layer liquid crystal structure has been developed to enable multifunctional all-optical image processing. The platform integrates eight types of image processing functions in one go, including bright-field imaging, vortex filtering and edge enhancement, promising substantial...
Light-speed learning: A brain-inspired chip that thinks with light
Researchers developed a bio-inspired neuron platform that processes and learns information using light and electronics integrated on a single platform. The chip achieves 92% image recognition accuracy and demonstrates key synaptic behaviors found in biological learning.
Scientists discover first method to safely back up quantum information
Researchers at University of Waterloo discover workaround for 'no cloning' problem in quantum computing by encrypting quantum information as it's copied. This breakthrough enables redundant and encrypted quantum cloud services, a crucial step towards building quantum computing infrastructure.
AI gives scientists a boost, but at the cost of too many mediocre papers
A new study finds that large language models like ChatGPT significantly boost paper production, especially for non-native English speakers. However, this increase in AI-written papers makes it harder to separate valuable contributions from low-quality work.
Frontiers in Science Deep Dive series: How breaking the ‘memory wall’ using brain-inspired algorithms could help overcome AI energy costs
Researchers propose a novel approach to AI hardware design by integrating neuromorphic systems and compute-in-memory techniques to overcome the limitations of modern computing hardware. This could lead to more efficient data center energy use and enable real-time intelligence in compact, power-constrained systems.
How brain-inspired algorithms could drive down AI energy costs
Researchers propose integrating processing capability within memory units to reduce energy consumption and latency in AI applications. Inspired by the brain's efficient processing mechanisms, spiking neural networks (SNNs) can respond to irregular events and store information in the same place.
The UC3M’s new supercomputer ranks among the world’s top 15% most powerful systems in the IO500
The UC3M's new supercomputer is a state-of-the-art facility designed to support research and development projects requiring high-performance computing. The system features over 11,500 CPU cores and 42 GPUs, enabling the processing of large volumes of data and complex numerical simulations.
New agentic AI platform accelerates advanced optics design
Stanford engineers develop an AI framework called MetaChat, which rapidly accelerates metasurface design using computational tools and self-reflective AI assistants. This enables rapid solving of optics-related problems, such as designing metal lenses that can focus different wavelengths of light.
ACM honors 2025 Distinguished Members for driving the future of computing
The Association for Computing Machinery has named 61 new Distinguished Members, recognized for their contributions to AI for healthcare, data management, human-computer interaction, and other areas. The recipients include experts from top universities, corporations, and research institutions worldwide.
UT Dallas partners with Tech Mahindra on AI innovation
The University of Texas at Dallas has partnered with Tech Mahindra to facilitate collaboration on artificial intelligence (AI) innovation, skill development, and research. The partnership will provide opportunities for students and faculty to advance AI technologies, data science, and cybersecurity.
Can AI read humans’ minds? A new model shows it’s shockingly good at it
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
ACM Gordon Bell Prize-winning team develops revolutionary simulation for tsunami prediction
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.
NSF-funded team will use AI and other tools to build next-generation secure computer chips
A University of Delaware team, funded by NSF, creates next-generation secure computer chips using AI and game theory. The project aims to predict attacks and set new benchmarks for global hardware security, enabling the design of safer and more trustworthy systems.
AI at the speed of light just became a possibility
Researchers have demonstrated single-shot tensor computing at the speed of light, a breakthrough step towards next-generation AI hardware. This method uses optical computation to perform complex tensor operations, enabling fast and low-power processing.
Researchers build brain-inspired computer prototype
A small-scale neuromorphic computer prototype learned patterns and made predictions using fewer training computations than conventional AI systems. The prototype, developed by the University of Texas at Dallas team, integrates memory storage with processing, allowing for more efficient AI operations with lower costs.
An AI-powered lifestyle intervention vs human coaching in the diabetes prevention program
A new study finds that an AI-powered lifestyle intervention is noninferior to human coaching in achieving a composite outcome in adults with prediabetes and overweight or obesity. The AI-led Diabetes Prevention Program was noninferior to the human-led program in terms of weight reduction, physical activity, and HbA1c levels.
Powered by mushrooms, living computers are on the rise
Researchers from Ohio State University have developed shiitake-based devices that can act as organic memristors, a type of data processor. These devices demonstrated similar reproducible memory effects to semiconductor-based chips and showed potential for creating low-cost, environmentally friendly brain-inspired computing components.
Hanyang University ERICA researcher reveals psychological pathways shaping behavior of customer witnessing robot mistreatment
A recent study reveals that the response to witnessing robot mistreatment depends on factors such as the robot's humanlike design and the observer's moral identity. Anthropomorphism influences empathy, encouraging customers to treat robots with dignity, while moral identity plays a crucial role in shaping behavioral contagion.
News release: MIT professor receives prestigious High Performance Computing Award
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.
A new method to build more energy-efficient memory devices for a sustainable data future
Researchers at Kyushu University have developed a new method to build more energy-efficient magnetic random-access memory (MRAM) using thulium iron garnet. The team successfully produced thin films of platinum on the TmIG material, enabling high-speed and low-power information rewriting at room temperature.
Scientists develop end-to-end encryption for git services
Researchers at the University of Sydney have developed end-to-end encryption for git services, protecting sensitive code from cybersecurity threats. The encryption aligns seamlessly with existing platforms like Github and Bitbucket, reducing computational resources needed while encrypting only edits.
Back to the future: Is light-speed analog computing on the horizon?
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.
Ana Veroneze Solórzano and Yafan Huang named recipients of 2025 ACM-IEEE CS George Michael Memorial HPC Fellowships
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.
AI system learns from many types of scientific information and runs experiments to discover new materials
Researchers developed a platform called CRESt that incorporates insights from literature, chemical compositions, and imaging to optimize materials recipes. CRESt uses robotic equipment for high-throughput testing and large multimodal models to further optimize materials recipes.
Boston College physicist Qiong Ma named a 2025 Moore Inventor Fellow by the Gordon and Betty Moore Foundation
Qiong Ma, Assistant Professor of Physics at Boston College, has been selected as a 2025 Moore Inventor Fellow for her groundbreaking work on twistronic artificial synapses. The fellowship award comes with $675,000 over three years and will support the purchase of new scientific equipment and funding for postdocs and student researchers.
MoBluRF: A framework for creating sharp 4D reconstructions from blurry videos
Researchers developed MoBluRF, a two-stage motion deblurring method for NeRFs, achieving high-quality 3D reconstructions from ordinary blurry videos. The framework outperforms state-of-the-art methods and is robust against varying degrees of blur, enabling smartphones to produce sharper and more immersive content.
New College of AI, Cyber and Computing launched at UT San Antonio
The University of Texas at San Antonio has launched the College of AI, Cyber and Computing, which will serve over 5,000 students pursuing degrees in rapidly growing career fields. The college is positioned to advance technological education and research, with faculty securing major grants and launching industry partnerships.
Physical neural networks, the new frontier for sustainable artificial intelligence
Researchers at Politecnico di Milano developed photonic chips for training physical neural networks, eliminating digitisation requirements. This allows for faster, more robust, and efficient network training using light signals.
Rice researchers turn wasted data center heat into clean power
A new study from Rice University introduces a novel solar thermal-boosted organic Rankine cycle (ORC) system that can recover 60-80% more electricity annually from waste heat in data centers. The approach achieves over 8% higher ORC efficiency during sunny peak hours and lowers the cost of electricity by 5.5-16.5%.
Scientists train deep-learning models to scrutinize biopsies like a human pathologist
A team of researchers developed a method to annotate biopsy image data with eye-tracking devices, reducing the burden on pathologists. The resulting AI model achieved an accuracy of 96.3% and surpassed human pathologists' performance in diagnosing skin lesions.
Crop monitoring system utilizing IoT, AI and other tech showcased at ASABE
The system tracks and analyzes crop development using data from sensors, biosensors, the Internet of Things, and AI. Strong security protocols ensure farmer data remains private and resilient against future quantum computer attacks. The research team plans to improve their system with faster sensor processing and a solar-powered battery.
Exploring the evolution of decentralized networks in real-world systems
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.
Pedestrians now walk faster and linger less, researchers find
A new study reveals that pedestrians are now walking faster and spending less time in public spaces. Researchers analyzed 40 years of video footage to find a 14% decline in people lingering in these areas.
Accelerating science with AI
Researchers use AI to solve differential equations, such as Schrodinger's equation, for large-scale systems, improving efficiency and accuracy in fields like drug discovery and material design.
Breakthrough robotic slip-prevention method could bring human-like dexterity to industrial automation
A new robotic slip-prevention method has been developed to improve robots' grip and handling of fragile or slippery objects. This bio-inspired approach allows robots to predict when an object might slip and adapt their movements in real-time, outperforming traditional strategies.