A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team set a new world record in classifying malware families.
By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals
Mike Teodorescu, a University of Washington assistant professor in the Information School, proposes that private enterprise standards for fairer machine learning systems would inform governmental regulation.
Irvine, Calif., Feb. 15, 2024 – Throughout human history, technologies have been used to make peoples’ lives richer and more comfortable, but they have also contributed to a global crisis threatening Earth’s climate, ecosystems and even our own survival.
The in silico trial demonstrated 2X the efficacy of the current treatment (>80% vs 39%); 3X shorter treatment time to cure (6 vs 18 months); 1 drug compared to a 3-drug combo for the standard of care; and preclinical results in shorter time than animal models.
Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon
A collaborative group of investigators used artificial intelligence (AI) to quickly and accurately measure fat around the heart using a low-dose computed tomography (CT) scan during a routine test.
Electronics and Telecommunications Research Institute (ETRI) has developed a technology that recognizes real-time game situations by analyzing play elements extracted from game videos and automatically generates highlights by identifying key play events in the game.
When a human-AI conversation involves many rounds of continuous dialogue, the powerful large language machine-learning models that drive chatbots like ChatGPT sometimes start to collapse, causing the bots’ performance to rapidly deteriorate.
Issues such as abrupt changes in speed limits and incomplete lane markings are among the most influential factors that can predict road crashes, finds new research by University of Massachusetts Amherst engineers.
Researchers have developed the largest-ever dataset of biological images suitable for use by machine learning – and a new vision-based artificial intelligence tool to learn from it.
A West Virginia University urban forester is developing a method — with the help of artificial intelligence — to identify trees at risk of falling on power lines and causing blackouts.
UMD Smith expert explains the wave of tech job layoffs as a sign of a broader, labor market shift to where “humans need to recalibrate and capitalize on strengths beyond pure intelligence—like intuition, empathy, creativity, emotion and people skills.”
Surgeons and investigators from Cedars-Sinai Orthopaedics bring their leading-edge expertise in treatment and the latest clinical research to the annual meeting of the American Academy of Orthopaedic Surgeons (AAOS) in San Francisco February 12-16.
With the growing popularity of large language model (LLM) chatbots, a type of artificial intelligence (AI) used by ChatGPT, Google Bard and BingAI, it is important to outline the accuracy of musculoskeletal health information they provide.
Imagine a world in which the digital watch on your wrist tracks not only your step count, but also your blood sugar, heart rate, blood pressure and respiration.
Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.
Artificial intelligence (AI) chatbots are more accurate than expected when asked to answer medical questions about spine surgery, but patients still need to use extreme caution when turning to these tools for help with medical decision-making.
Machine-learning method aims to predict consequences of serious sleep disorder impacting millions in the U.S.
Ischemic stroke survivors who received care recommendations from an artificial intelligence (AI)-based system had fewer recurrent strokes, heart attacks or vascular death within three months, compared to people whose stroke treatment was not guided by AI tools, according to preliminary late-breaking science presented today at the American Stroke Association’s International Stroke Conference 2024.
Sensory feedback is important for amputees to be able to explore and interact with their environment.
Researchers have developed a sensor made from ‘frozen smoke’ that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight parts per billion, far beyond the sensitivity of most indoor air quality sensors.
By studying how CRISPR-Cas works, scientists can predict and design where these tools modify DNA.
The University at Albany has been selected to contribute to a national research consortium that will support and demonstrate pathways to developing safe and trustworthy artificial intelligence.
In patients with major depression disorder it is, thanks to use of artificial intelligence, now possible to predict within a week whether an antidepressant will work
Researchers have developed a new deep learning model that promises to significantly improve audio quality in real-world scenarios by taking advantage of a previously underutilized tool: human perception.
High-risk pregnancy specialists from Cedars-Sinai will share their research findings at the Society for Maternal-Fetal Medicine 2024 Pregnancy Meeting, Feb.10-14, in National Harbor, Maryland.
A study by a scientific team from the University of Vienna and the MedUni Vienna, recently published in the top-class journal Cellular & Molecular Immunology, has a promising result from tumor research: The enzyme phosphoglycerate dehydrogenase (PHDGH) acts as a metabolic checkpoint in the function of tumor-associated macrophages (TAMs) and thus on tumor growth. Targeting PHGDH to modulate the cancer-fighting immune system could be a new starting point in cancer treatment and improve the effectiveness of clinical immunotherapies.
Dr. Nitin Agarwal, Maulden-Entergy Chair and Distinguished Professor of Information Science at UA Little Rock, presented his research on cognitive threats at the NATO Science & Technology Organization Symposium on Mitigating and Responding to Cognitive Warfare.
US commercial giants IBM, Google and Microsoft lead the way as the companies with the most patent applications in Generative AI (GenAI), with other major firms such as Samsung, Adobe and Intel also in the Top 10.
Since its introduction to the public in November 2022, ChatGPT, an artificial intelligence system, has substantially grown in use, creating written stories, graphics, art and more with just a short prompt from the user.
Experts are helping put the UK at the forefront of AI advances, using it to transform current uses and tackle important global challenges.
Artificially intelligent software has been developed to enhance medical treatments that use jets of electrified gas known as plasma. Developed by researchers at Princeton Plasma Physics Laboratory and the George Washington University, the computer code predicts the chemicals emitted by cold atmospheric plasma devices, which can be used to treat cancer and sterilize surfaces.
Cedars-Sinai clinicians and artificial intelligence experts have developed a new application that takes advantage of the unique capabilities of Apple Vision Pro to support patients’ mental health needs.
UC Davis Health has adopted a new technology platform, Viz.ai, to help quickly identify patients suspected of having a stroke. The hospital is the first in the Sacramento region to use the platform.
The annual conference brought together hundreds of scientists interested in finding ways to harness big data to answer previously unsolvable questions.
Irvine, Calif., Feb. 5, 2024 — Weaving human ingenuity with artificial intelligence, nine student teams at the University of California, Irvine claimed the top prizes in the ANTrepreneur Center’s AI Innovation Challenge, devising AI-based solutions in the categories of health impact, storytelling and entertainment, and student experiences.
As artificial intelligence technology advances, one area lags behind: voice-activated AI. For the more than 80 million people who stutter, voice AI technologies, which are increasingly being used in job hiring practices, can still be impossible to navigate.
The Windreich Department of Artificial Intelligence (AI) and Human Health at the Icahn School of Medicine at Mount Sinai announced a transformative $1.95 million gift from Schmidt Sciences to create The Eric and Wendy Schmidt AI in Human Health Fellowship Program.
RUDN University doctors, in collaboration with the Ivannikov Institute for System Programming of the Russian Academy of Sciences and the National Medical Research Centre for Obstetrics, Gynecology, and Perinatology Named after Academician V.I.Kulakov, built the EndoNet neural network for a more accurate and faster analysis of histological sections of the endometrium.
Shopping for groceries is a common activity for many of us, but for visually impaired people, identifying grocery items can be daunting.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
AI systems, such as GPT-4, can now learn and use human language, but they learn from astronomical amounts of language input—much more than children receive when learning how to understand and speak a language.
Magnesium (Mg) alloys have been popularly used for designing aerospace and automotive parts owing to their high strength-to-weight ratio.
In the future, soft robots will be able to perform tasks that cannot be done by conventional robots.
University of Virginia scientists have developed a new approach to machine learning – a form of artificial intelligence – to identify drugs that help minimize harmful scarring after a heart attack or other injuries.
Ten projects aimed at advancing next-generation science and technology have been awarded funding by Jefferson Lab for fiscal year 2024.
Issues shaping the health care sector take center stage at the 2024 “Business of Health Care Conference,” taking place at the University of Miami on Feb. 16.
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