Particle accelerators are incredibly complex. Operators must continuously monitor performance and sensors to identify problems in the devices.
In a study evaluating the bias in OpenAI's CLIP, a model that pairs text and images and operates behind the scenes in the popular DALL-E image generator, University of Michigan researchers found that CLIP performs poorly on images that portray low-income and non-Western lifestyles.
Professor Tongyi Zhang, Member of the Chinese Academy of Sciences and founding dean of Materials Genome Institute, Shanghai University delivered the HKIAS Distinguished Lecture entitled “Materials-GPT and Domain Knowledge-Guided Machine Learning” on 20 October 2023.
Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying heavily on the intuition of experienced chemists. A team of researchers at MIT has devised a new approach using machine learning, that removes the need for intuition and provides more detailed information than conventional methods can practically achieve.
Researchers have developed an adaptable algorithm that could improve road safety by predicting when drivers are able to safely interact with in-vehicle systems or receive messages, such as traffic alerts, incoming calls or driving directions.
ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it’s in the wrong.
Can artificial intelligence (AI) get hungry? Develop a taste for certain foods? Not yet, but a team of Penn State researchers is developing a novel electronic tongue that mimics how taste influences what we eat based on both needs and wants, providing a possible blueprint for AI that processes information more like a human being.
Cornell University researchers have released a new, open-source platform called Cascade that can run artificial intelligence models in a way that slashes expenses and energy costs while dramatically improving performance.
Xinyang Wu from the Hong Kong University of Science and Technology has designed a computer algorithm to intelligently create mashups using the drum tracks from one song and the vocals and instrumentals from another. The algorithm mimics the process used by professionals, identifying the most dynamic moments to adjust the tempo of the instrumental tracks and add the drum beat mashup at exactly the right moment for maximum effect. The result is a unique blend of pleasing lyrics and exciting instrumentals with wide-ranging appeal.
Computational neuroscientist probes how the brain learns, remembers, and decides
A six-month agreement with the University of Miami challenges experts to create a master plan for a technologically modern area that is a model of sustainability, resilience and health care.
Hertz Fellow Sarah Hooper is developing solutions to reduce diagnostic imaging costs and address shortages and delays in radiology.
Elham Azizi is on a mission to better understand the complexities of cancer through the design of sophisticated data-driven computational methods. Her motivation, like many of her peers in the field, is to be able to identify and predict what drives cancer growth in the hopes of improving therapies that work best for each individual patient.
Decades before ChatGPT, Tesla autopilot and Siri, there was Julian Feldman and a monstrous mainframe. It was 1968, and UCI’s interdisciplinary program in information and communication science had just become a pioneering, standalone computer science department. At the helm was Feldman, who had co-edited a groundbreaking anthology of AI research a few years earlier.
The 30th annual conference "The Science of Consciousness" will be held at the Loews Ventana Canyon Resort in Tucson, Arizona from April 22-27, 2024.
Kevin Yager—leader of the electronic nanomaterials group at the Center for Functional Nanomaterials (CFN), a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory—has imagined how recent advances in artificial intelligence (AI) and machine learning (ML) could aid scientific brainstorming and ideation.
It’s a story that’s become all too familiar — high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst.
In October, President Biden signed an executive order outlining how the United States will promote safe, secure and trustworthy AI.
In a new study published on 14 October 2023, in the journal Human-Centric Intelligent Systems, researchers from University Teknikal Malaysia Melaka (UTeM), have unveiled a novel approach to Human Activity Recognition (HAR) that transcends traditional limitations.
Scientists have created tiny moving biological robots from human tracheal cells that can encourage the growth of neurons across artificial ‘wounds’ in the lab. Using patients’ own cells could permit growth of Anthrobots that assist healing and regeneration in the future with no need for immune suppression
Researchers from the McKelvey School of Engineering demonstrated monolithic 3D integration of layered 2D material into novel processing hardware for artificial intelligence (AI) computing.
Large-language models could soon become essential tools for diagnosing diseases. To protect people’s privacy, medical professionals must drive the development and deployment of such models.
Traditional remote sensing satellites have struggled to meet the growing demand for real-time, popular applications of geospatial data. LuoJia3-01, launched on January 15, 2023, addresses this by establishing a novel, open-mode experimental verification platform that integrates remote sensing and communication.
Facial palsy can now be detected using a digital camera and an algorithm, thanks to a new tool developed by researchers from the University of South Australia and Middle Technical University in Iraq. .The tool promises to reduce diagnostic errors that often occur with this condition.
In a time when the Internet has become the main source of information for many people, the credibility of online content and its sources has reached a critical tipping point.
The Department of Energy’s Oak Ridge National Laboratory has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for scientific discovery.
A new AI-assisted molecular diagnostic platform capable of identifying variants of COVID-19 and other infectious diseases has been developed by scientists in the UK. The low cost, portable device could play a crucial role in preventing future pandemics due to its accuracy and versatility.
New calculations from Google DeepMind grow Berkeley Lab's Materials Project, an open-access resource that scientists use to develop new materials for future technologies. Some of the computations were used alongside data from the Materials Project to test A-Lab, a facility at Berkeley Lab where artificial intelligence guides robots in making new materials.
University of Washington researchers found that when prompted to make pictures of “a person,” the AI image generator over-represented light-skinned men, failed to equitably represent Indigenous peoples and sexualized images of certain women of color.
Influencing the US election or the UK's political future by using a combination of the personal information posted on Facebook by millions of people and powerful data analysis technology.
Health care organizations are looking to artificial intelligence (AI) tools to improve patient care, but their translation into clinical settings has been inconsistent, in part because evaluating AI in health care remains challenging.
A multi-institutional team led by Columbia Engineering has won a $5 million National Science Foundation (NSF) grant to address AI systems learning biases we don't want them to have and showing discrimination based on gender, race, religion, or other sensitive attributes.
Computer scientists led by Ning Zhang at the McKelvey School of Engineering developed AntiFake, a tool to protect voice recordings from unauthorized speech synthesis.
More than 120 staff and 80 students and interns from the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) attended the American Physical Society’s Division of Plasma Physics (APS-DPP) Conference from Oct 30 to Nov. 3 in Denver.
Authenticate.com ("Authenticate"), a leading provider of identity verification and fraud prevention solutions, announced today that it has filed a patent for EthicAi™, a groundbreaking AI aimed at identifying and reducing bias in policing.
MCRA, the leading privately held independent medical device, diagnostics and biologics Clinical Research Organization (CRO) and advisory firm is pleased to announce the launch of its AI & Imaging Center, the first and only integrated solution, led by former FDA imaging experts covering the entire Medical Device product lifecycle.
A Korean research team has developed a BIM-based digital collaboration platform that allows construction owners and engineers to collaborate with each other on digital design tasks.
Research and development is an expensive undertaking for any company — which is why so many startups begin with a new patent, a brand new idea foundationally tested and ready to be scaled up.
Guided by machine learning, chemists at the Department of Energy’s Oak Ridge National Laboratory designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
A new artificial intelligence computer program created by researchers at the University of Florida and NVIDIA can generate doctors’ notes so well that two physicians couldn’t tell the difference, according to an early study from both groups.
Researchers found that Generative AI can be easily used to create and spread false health information. They urge for government and industry guardrails to protect public health
Using AI and mathematical modeling, researchers found that human behavior, such as lockdowns and isolation measures, can affect the evolution of new COVID-19 strains.
Digital Science announces it has fully acquired the AI-based academic language service Writefull, which assists users worldwide with all aspects of their scholarly writing.
A new study introduces the Topological Tail Dependence Theory, merging topology with finance. Empirical tests confirm that this novel theory significantly enhances the accuracy of non-linear and neural network models in forecasting stock market volatility during turbulent periods, offering a promising new approach for financial forecasting.
A team of Dr. Hyekyoung Choi and Min Ju Yun of Energy Conversion Materials Research Center, Korea Electrotechnology Research Institute (KERI) has developed a technology that can increase the flexibility and efficiency of thermoelectric generator to the world's highest level by using 'mechanical metamaterials' that do not exist in nature.
Long considered myth, freakishly large rogue waves are very real and can split apart ships and even damage oil rigs. Using 700 years’ worth of wave data from more than a billion waves, scientists at the University of Copenhagen and University of Victoria have used artificial intelligence to find a formula for how to predict the occurrence of these maritime monsters. The new knowledge can make shipping safer.
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