In an effort to rein in illicit fishing, researchers have unveiled a new open-source AI model that can accurately identify what virtually all of the world’s seafaring vessels are doing, including whether a boat is potentially fishing illegally. Seattle-based Ai2 (the Allen Institute for AI) recently released a lightweight model named Atlantes to analyze more than five billion GPS signals a…
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A well-crafted systematic review is often the initial step for researchers exploring a scientific field. For scientists new to this field, it provides a structured overview of the domain. For experts, it refines their understanding and sparks new ideas. In 2024 alone, 218,650 review articles were indexed in the Web of Science database, highlighting the importance of these resources in research.
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From mitigating climate change to improving disaster response and environmental monitoring, AI is reshaping how we tackle critical global challenges. Advancements in fast, high-resolution climate forecasting, real-time monitoring, and digital twins are equipping scientists, policy-makers, and industry leaders with data-driven tools to understand, plan for, and respond to a warming planet.
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Supercomputers are the engines of groundbreaking discoveries. From predicting extreme weather to advancing disease research and designing safer, more efficient infrastructures, these machines simulate complex systems that are impractical to test in the real world due to their size, cost, and material requirements. Since the introduction of the GPU in 1999, NVIDIA has continually pushed the…
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Flooding poses a significant threat to 1.5 billion people, making it the most common cause of major natural disasters. Floods cause up to $25 billion in global economic damage every year. Flood forecasting is a critical tool in disaster preparedness and risk mitigation. Numerical methods have long been developed that provide accurate simulations of river basins. With these, engineers such as those…
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Researchers studying cancer unveiled a new AI model that provides cellular-level mapping and visualizations of cancer cells, which scientists hope can shed light on how—and why—certain inter-cellular relationships triggers cancers to grow. BioTuring, a San Diego-based startup, announced an AI model that can quickly create detailed visualizations of cancerous tumors—at single-cell resolution.
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A new study and AI model from researchers at Stanford University is streamlining cancer diagnostics, treatment planning, and prognosis prediction. Named MUSK (Multimodal transformer with Unified maSKed modeling), the research aims to advance precision oncology, tailoring treatment plans to each patient based on their unique medical data. “Multimodal foundation models are a new frontier in…
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Rare diseases are difficult to diagnose due to limitations in traditional genomic sequencing. Wolfgang Pernice, assistant professor at Columbia University, is using AI-powered cellular profiling to bridge these gaps and advance personalized medicine. At NVIDIA GTC 2024, Pernice shared insights from his lab’s work with diseases like Charcot-Marie-Tooth (CMT) and mitochondrial disorders.
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An advanced deep-learning model that automates X-ray analysis for faster and more accurate assessments could transform spinal health diagnostics. Capable of handling even complex cases, the research promises to help doctors save time, reduce diagnostic errors, and improve treatment plans for patients with spinal conditions like scoliosis and kyphosis. “Although spinopelvic alignment analysis…
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With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI model capable of accurately locating, at scale, wells that may be leaking toxic chemicals and greenhouse gases, like methane, into the environment. The model is designed to identify many of the roughly 3.7M oil and gas wells dug in…
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AI-driven flood modeling and 3D visualization tools are transforming how communities prepare for and respond to climate risks. In this NVIDIA GTC 2024 session, Guy Schumann and Guillaume Gallion from RSS-Hydro explore how next-generation geospatial applications and high-fidelity visualizations, including NVIDIA Omniverse, can enhance disaster resilience by providing dynamic tools for decision…
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Each year, the world recycles only around 13% of its two billion-plus tons of municipal waste. By 2050, the world’s annual municipal waste will reach 3.88B tons. But the global recycling industry is far from efficient. Annually, as much as $120B of potentially recoverable plastic—let alone paper or metals—ends up in landfills rather than within new products made with recycled materials.
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As global electricity demand continues to rise, traditional sources of energy are increasingly unsustainable. Energy providers are facing pressure to reduce reliance on fossil fuels while ensuring a fully supplied and stable grid. In this context, solar energy has emerged as a vital renewable resource, being one of the most abundant clean energy sources available. However…
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Researchers from Weill Cornell Medicine have developed an AI-powered model that could help couples undergoing in vitro fertilization (IVF) and guide embryologists in selecting healthy embryos for implantation. Recently published in Nature Communications, the study presents the Blastocyst Evaluation Learning Algorithm (BELA). This state-of-the-art deep learning model evaluates embryo quality and…
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A robot commonly used and manually manipulated by surgeons for routine operations can now autonomously perform key surgical tasks as precisely as humans. Researchers at Johns Hopkins and Stanford Universities, revealed they have integrated a vision-language model (VLM)—trained on hours of surgical videos—with the widely-used da Vinci robotic surgical system. Once connected with the VLM…
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Your eyes could hold the key to unlocking early detection of Alzheimer’s and dementia, with a groundbreaking AI study. Called Eye-AD, the deep learning framework analyzes high-resolution retinal images, identifying small changes in vascular layers linked to dementia that are often too subtle for human detection. The approach offers a rapid, non-invasive screening for cognitive decline…
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Prostate cancer researchers unveiled a new AI-powered model that can quickly analyze MRIs to accurately predict how prostate cancer tumors may develop and potentially metastasize over time. The technology uses a segmentation algorithm to quickly analyze MRIs of prostates and outline—in detail—the contours of any cancerous tumors. The model can then calculate the volume of the tumors it…
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Dale Durran, a professor in the Atmospheric Sciences Department at the University of Washington, introduces a breakthrough deep learning model that combines atmospheric and oceanic data to set new climate and weather prediction accuracy standards. In this NVIDIA GTC 2024 session, Durran presents techniques that reduce reliance on traditional parameterizations, enabling the model to bypass…
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A new machine-learning algorithm that listens to digital heartbeat data could help veterinarians diagnose murmurs and early-stage heart disease in dogs. Developed by a team of researchers from the University of Cambridge, the study analyzes electronic stethoscope recordings to grade murmur intensity and diagnose the stage of myxomatous mitral valve disease (MMVD)—the most common form of heart…
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A new deep learning model could reduce the need for surgery when diagnosing whether cancer cells are spreading, including to nearby lymph nodes—also known as metastasis. Developed by researchers from the University of Texas Southwestern Medical Center, the AI tool analyzes time-series MRIs and clinical data to identify metastasis, providing crucial, noninvasive support for doctors in treatment…
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A new cell-phone-sized device—which can be deployed in vast, remote areas—is using AI to identify and geolocate wildlife to help conservationists track endangered species, including wolves around Yellowstone National Park. The battery-powered devices—dubbed GrizCams—are designed by a small Montana startup, Grizzly Systems. Together with biologists, they’re deploying a constellation of the…
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The energy industry’s digital transformation requires a substantial increase in computational demands for key HPC workloads and applications. This trend is exemplified by advanced seismic imaging methodologies such as reverse time migration (RTM) and full waveform inversion (FWI), where doubling maximum frequency can produce a 16x increase in computational workload. Similarly…
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Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of Power Systems and Energy at Chung Yuan Christian University in Taiwan, researches hybrid quantum-classical methods. These approaches leverage quantum computing to solve challenging problems in power systems and sustainable energy.
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Pharmaceutical research demands fast, efficient simulations to predict how molecules interact, speeding up drug discovery. Jiqun Tu, a senior developer technology engineer at NVIDIA, and Ellery Russell, tech lead for the Desmond engine at Schrödinger, explore advanced GPU optimization techniques designed to accelerate molecular dynamics simulations. In this NVIDIA GTC 2024 session…
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New research from the University of Washington is refining AI weather models using deep learning for more accurate predictions and longer-term forecasts. The study, published in Geophysical Research Letters, shows how adjusting initial atmospheric data enables advanced AI models to extend current forecast limits. As extreme weather becomes increasingly more severe and frequent due to climate…
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Researchers at UCLA have developed a new AI model that can expertly analyze 3D medical images of diseases in a fraction of the time it would otherwise take a human clinical specialist. The deep-learning framework, named SLIViT (SLice Integration by Vision Transformer), analyzes images from different imagery modalities, including retinal scans, ultrasound videos, CTs, MRIs, and others…
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Neuromodulation is a technique that enhances or restores brain function by directly intervening in neural activity. It is commonly used to treat conditions like Parkinson’s disease, epilepsy, and depression. The shift from open-loop to closed-loop neuromodulation strategies enables on-demand modulation, improving therapeutic effects while reducing side effects. This could lead to significant…
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The integration of robotic surgical assistants (RSAs) in operating rooms offers substantial advantages for both surgeons and patient outcomes. Currently operated through teleoperation by trained surgeons at a console, these surgical robot platforms provide augmented dexterity that has the potential to streamline surgical workflows and alleviate surgeon workloads. Exploring visual behavior cloning…
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Electric vehicle (EV) charging is getting a jolt with an innovative new AI algorithm that boosts efficiency, reduces cost, and keeps the grid from short-circuiting under pressure. Developed by a team of researchers from the Royal Military College of Canada (RMC), the real-time smart solution optimizes charging schedules for large parking lots, balancing quick charging with energy availability.
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Antarctica plays a crucial role in regulating Earth’s climate. Most climate research into the world’s coldest, most windswept continent focuses on the surrounding Southern Ocean’s carbon dioxide absorption, or its vast, sunlight-reflecting glaciers. A group of Australian scientists is taking a different approach. Researchers are diving deep into Antarctic moss beds, using an AI-powered edge…
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A groundbreaking drug-repurposing AI model could bring new hope to doctors and patients trying to treat diseases with limited or no existing treatment options. Called TxGNN, this zero-shot tool helps doctors find new uses for existing drugs for conditions that might otherwise go untreated. The study, recently published in Nature Medicine and led by scientists from Harvard University…
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Some of Africa’s most resource-constrained farmers are gaining access to on-demand, AI-powered advice through a multimodal chatbot that gives detailed recommendations about how to increase yields or fight common pests and crop diseases. Since February, farmers in the East African nation of Malawi have had access to the chatbot, named UlangiziAI, through WhatsApp on mobile phones.
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Drug discovery aims to develop new therapeutic agents that effectively target diseases while minimizing side effects for patients. Using multimodal data—such as molecular structures, cellular images, sequences, and unstructured data—can be highly valuable in identifying novel and safe drug candidates. Yet, creating multimodal AI models for computer-aided drug discovery is challenging.
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By 2030, John Deere aims for fully autonomous farming, addressing global challenges like labor shortages, sustainability, and food security. Their AI and robotics solutions make farming more efficient and profitable, reduce environmental impact, lower carbon footprints, and promote biodiversity. In this session, Chris Padwick, director of Machine Learning and Computer Vision at John Deere…
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Reservoir simulation helps reservoir engineers optimize their resource exploration approach by simulating complex scenarios and comparing with real-world field data. This extends to simulation of depleted reservoirs that could be repurposed for carbon storage from operations. Reservoir simulation is crucial for energy companies aiming to enhance operational efficiency in exploration and production.
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Researchers at Washington State University (WSU) unveiled a new AI-guided 3D printing technique that can help physicians print intricate replicas of human organs. Surgeons can then use these organ models to practice before performing the actual surgery, which gives doctors more tools to improve surgical results. The AI algorithm was trained on images and key attributes of human kidneys and…
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Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is improving crop production and profits, while reducing waste, greenhouse gas emissions, and pesticide use. Around 6% of the world’s CO2 emissions come from farming. And every year, up to 40% of crops are lost due to pests and disease.
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An AI-powered remote sensing study offers a dynamic new tool for global ocean cleanup efforts. Detailed in the ISPRS Journal of Photogrammetry and Remote Sensing, the breakthrough unveils MariNeXt, a deep-learning framework that detects and identifies marine pollution using high-resolution Sentinel-2 imagery. MariNeXt could revolutionize how resource managers and agencies globally monitor and…
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A recent study introduced a cutting-edge AI-powered pathology platform that can help doctors diagnose and evaluate lung cancer in patients quickly and accurately. Developed by a team of researchers at the University of Cologne’s Faculty of Medicine and University Hospital Cologne, the tool provides fully automated and in-depth analysis of benign and cancerous tissues, for faster and more…
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Large language models (LLMs) are emerging as a tool for safeguarding critical infrastructure systems, such as renewable energy, healthcare, or transportation, according to a new study from the Massachusetts Institute of Technology (MIT). The research introduces a zero-shot LLM model that detects anomalies in complex data. Using AI-driven diagnostics for monitoring and flagging potential…
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New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps in conventional audio descriptions (AD), offering an enriched and immersive video viewing experience. “Although videos have become an…
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California beaches are becoming safer with a new AI-powered shark detection system. Known as SharkEye, the technology identifies sharks near shorelines in real time and sends text alerts to public safety officials, lifeguards, and the community. This innovative AI-driven system, developed by the Benioff Ocean Science Laboratory (BOSL) at the University of California, Santa Barbara…
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Researchers using AI are mining the DNA of long-extinct species like woolly mammoths and giant sloths, looking for ancient genomic secrets to help fight today’s most infectious pathogens. Every year, more than 1.25M people worldwide die from infections immune to drugs like antibiotics, according to the World Health Organization (WHO). By 2050, that number could rise to 10M people. And…
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New research is boosting the creative potential of generative AI with a text-guided image-editing tool. The innovative study presents a framework using plug-and-play diffusion features (PnP DFs) that guides realistic and precise image generation. With this work, visual content creators can transform images into visuals with just a single prompt image and a few descriptive words.
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X-ray-powered research is aiming to target sneaky hazardous materials making their way through airport security. The study, recently published in Scientific Reports, proposes a new design for a fast and powerful X-ray diffraction (XRD) technology able to identify potential threats. The work could be a notable step toward more accurate luggage scanning in airports. “The main goal of my…
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Researchers from NYU Langone Health aim to improve breast cancer diagnostics with a new AI model. Recently published in Science Translational Medicine, the study outlines a deep learning framework that predicts breast cancer from MRIs as accurately as board-certified radiologists. The research could help create a foundational framework for implementing AI-based cancer diagnostic models in clinical…
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Doctors could soon evaluate Parkinson’s disease by having patients do one simple thing—sleep. A new study led by MIT researchers trains a neural network to analyze a person’s breathing patterns while sleeping and determine whether the subject has Parkinson’s. Recently published in Nature Medicine, the work could lead to earlier detection and treatment. “Our goal was to create a method for…
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Marine biologists have a new AI tool for monitoring and protecting coral reefs. The project—a collaboration between Google and Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO)—employs computer vision detection models to pinpoint damaging outbreaks of crown-of-thorns starfish (COTS) through a live camera feed. Keeping a closer eye on reefs helps scientists address…
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A recent study from researchers at ETH Zurich’s EcoVision Lab is the first to produce an interactive Global Canopy Height map. Using a newly developed deep learning algorithm that processes publicly available satellite images, the study could help scientists identify areas of ecosystem degradation and deforestation. The work could also guide sustainable forest management by identifying areas for…
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Applying new technology to studying ancient history, researchers are looking to expand their understanding of dinosaurs with a new AI algorithm. The study, published in Frontiers in Earth Science, uses high-resolution Computed Tomography (CT) imaging combined with deep learning models to scan and evaluate dinosaur fossils. The research is a step toward creating a new tool that would vastly change…
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Powerful airborne sensors could be key in helping farmers sustainably manage maize across the US Corn Belt, according to a University of Illinois research team. The study, which employs remote sensors combined with newly developed deep learning models, gives an accurate and speedy prediction of crop nitrogen, chlorophyll, and photosynthetic capacity. Published in the International Journal of…
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In a medical first, a robot has performed a laparoscopic operation without the guidance of a surgeon’s hand. The study, recently published in Science Robotics, outlines the design of an enhanced version of the Smart Tissue Autonomous Robot (STAR) that completed the challenging task on the soft tissue of a pig. The accomplishment marks a milestone toward fully automated robotic surgeries.
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A recently developed AI platform is giving medical professionals screening for breast cancer a new, transparent tool for evaluating mammography scans. The research, creates an AI model that evaluates the scans and highlights parts of an image the algorithm finds relevant. The work could help medical professionals determine whether a patient needs an invasive—and often nerve-wracking—biopsy.
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New weather-forecasting research using AI is fast-tracking global weather predictions. The study, recently published in the Journal of Advances in Modeling Earth Systems, could help identify potential extreme weather 2–6 weeks into the future. Accurate predictions of extreme weather with a longer lead time give communities and critical sectors such as public health, water management, energy…
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Researchers at Los Alamos National Laboratory in New Mexico are working toward earthquake detection with a new machine learning algorithm capable of global monitoring. The study uses Interferometric Synthetic Aperture Radar (InSAR) satellite data to detect slow-slip earthquakes. The work will help scientists gain a deeper understanding of the interplay between slow and fast earthquakes…
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Mount Sinai researchers have created a new AI technology that can identify small changes within the heart, and accurately predict heart failure. Recently published in the Journal of the American College of Cardiology: Cardiovascular Imaging, the research could lead to faster diagnosis and earlier detection of congestive heart failure—helping doctors treat patients more effectively and slow disease…
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You may soon be able to see how future flooding could hit your city with a newly developed AI model. The study, from a team of Canadian and U.S. researchers, uses generative adversarial networks (GANs) to produce realistic images of climate change-induced flooding. Named ClimateGAN, the team developed the model to underscore the destruction of extreme weather events and prompt collective action…
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A new study out of the Massachusetts Institute of Technology (MIT) could arm healthcare workers with the information needed to effectively treat COVID-19 patients. Recently published in the Proceedings of the National Academy of Sciences, the research develops a deep learning model that determines the best drug combinations for fighting the virus, despite having relatively limited data.
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Wildfire evacuees and disaster response groups could soon have the power to remotely scan a town for structural damage within minutes, using the newly developed AI tool DamageMap. A collaboration between researchers at Stanford University and California Polytechnic State University, San Luis Obispo—the project uses aerial imagery and a deep learning algorithm to pinpoint building damage after…
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A new AI-mapping tool is helping scientists assess how cities across the globe are using rooftops to combat climate change. Named Roofpedia, the research creates an open-source and scalable map of sustainable rooftops—a promising strategy for climate mitigation. Identifying areas with solar or green installations could help guide urban development, while also boosting community health, prosperity…
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New research from a group of scientists at UC Berkeley is giving data-poor regions across the globe the power to analyze data-rich satellite imagery. The study, published in Nature Communications, introduces a machine learning model that resource-constrained organizations and researchers can use to draw out regional socioeconomic and environmental information. Being able to evaluate local…
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Using a newly developed AI algorithm, researchers from the University of Texas Southwestern Medical Center are making early detection of aggressive forms of skin cancer possible. The study, recently published in Cell Systems, creates a deep learning model capable of predicting if melanoma will aggressively spread, by examining cell features undetectable to the human eye. “We now have a…
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Looking to reveal secrets of days past, historical scholars across the globe spend their life’s work translating ancient manuscripts. A team at the University of Notre Dame looks to help in this quest, with a newly developed machine learning model for translating and recording handwritten documents centuries old. Using digitized manuscripts from the Abbey Library of Saint Gall…
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Scientists searching the universe for gravitational waves just got a boost thanks to a new study and AI. The research, recently published in Nature Astronomy, creates a deployable AI framework for detecting gravitational waves within massive amounts of data—at several magnitudes faster than real time. Created by a group of scientists from Argonne National Laboratory, the University of Chicago…
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A team of scientists from Argonne National Laboratory developed a new method for turning X-ray data into visible, 3D images with the help of AI. The study, published in Applied Physics Reviews, develops a computational framework capable of taking data from the lab’s Advanced Photon Source (APS) and creating 3D visualizations hundreds of times faster than traditional methods. “In order to make…
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Solving a mystery that stumped scientists for decades, last November a group of computational biologists from Alphabet’s DeepMind used AI to predict a protein’s structure from its amino acid sequence. Not even a year later, a new study offers a more powerful model, capable of computing protein structures in as little as 10 minutes, on one gaming computer. The research…
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New research out of the University of California, San Francisco has given a paralyzed man the ability to communicate by translating his brain signals into computer generated writing. The study, published in The New England Journal of Medicine, marks a significant milestone toward restoring communication for people who have lost the ability to speak. “To our knowledge, this is the first…
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Targeting areas populated with disease-carrying mosquitoes just got easier thanks to a new study. The research, recently published in IEEE Explore, uses deep learning to recognize tiger mosquitoes with near perfect accuracy from images taken by citizen scientists . “Identifying the mosquitoes is fundamental, as the diseases they transmit continue to be a major public health issue…
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