Clear guidelines needed for synthetic data to ensure transparency, accountability and fairness, study says
Clear guidelines should be established for the generation and processing of synthetic data to ensure transparency, accountability and fairness, a new study says.
Phys.org > Computer SciencesLarge language models generate biased content, warn researchers
A new report led by researchers from UCL finds that the most popular artificial intelligence (AI) tools discriminate against women and people of different cultures and sexualities.
Phys.org > Computer SciencesDynamic-EC: An efficient dynamic erasure coding method for permissioned blockchain systems
Research led by Minyi Guo, published in Frontiers of Computer Science, addresses the challenge of reducing storage overhead in blockchain systems while maintaining data consistency and tolerating malicious nodes.
Phys.org > Computer SciencesNew computer vision tool can count damaged buildings in crisis zones and accurately estimate bird flock sizes
A team of computer scientists at the University of Massachusetts Amherst working on two different problems—how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks—recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial intelligence with the reliability of human analysis to quickly deliver reliable estimates that can quickly pinpoint and count specific features from very large collections of images.
Phys.org > Computer SciencesHarnessing quantum technology for industry: Cutting-edge simulations for Industry 4.0
High-quality, defect-free, and perfectly dimensioned metal components. Quantum computing power looks set to optimize production processes in the metalworking industry.
Phys.org > Computer SciencesResearcher: The quantum computer doesn't exist yet, but we are better understanding what problems it can solve
How do we know what a quantum computer is good for when it hasn't been built yet? That's what Ph.D. candidate Casper Gyurik investigated by combining two terms you often hear: quantum computing and machine learning.
Phys.org > Computer SciencesAdvancing brain-inspired computing with hybrid neural networks
The human brain, with its remarkable general intelligence and exceptional efficiency in power consumption, serves as a constant inspiration and aspiration for the field of artificial intelligence. Drawing insights from the brain's fundamental structure and information processing mechanisms, brain-inspired computing has emerged as a new computational paradigm, poised to steer artificial intelligence from specialized domains towards broader applications in general intelligence.
Phys.org > Computer SciencesRVAM16: A low-cost multiple-ISA processor based on RISC-V and ARM thumb
The increasing demand in the embedded field has led to the emergence of several impressive Instruction Set Architectures (ISAs). However, when processors migrate from one ISA to another, software compatibility issues are unavoidable.
Phys.org > Computer SciencesWhen Waddington meets Helmholtz: EPR-Net for constructing the potential landscapes of complex non-equilibrium systems
The concept of Waddington landscape, originally proposed by British developmental biologist Conrad Hal Waddington in 1957, has been influential in describing the dynamical evolution of cellular development.
Phys.org > Computer SciencesNovel robust-optimal controllers based on fuzzy descriptor system
Nonlinear systems have applications in many diverse fields from robotics to economics. Unlike linear systems, the output is not proportional to the input is such systems. A classic example is the motion of a pendulum. Due to the inherent nature of nonlinear systems, their mathematical modeling and, consequently, control is difficult.
Phys.org > Computer SciencesBrain-inspired computing may boil down to information transfer
The biological brain, especially the human brain, is a desirable computing system that consumes little energy and runs at high efficiency. To build a computing system just as good, many neuromorphic scientists focus on designing hardware components intended to mimic the elusive learning mechanism of the brain.
Phys.org > Computer SciencesManual transcription still beats AI: A comparative study on transcription services
A research team from the Empirical Research Support (ERS) at CISPA Helmholtz Center for Information Security has conducted a systematic comparison of the most popular transcription services. The comparison involved 11 providers of manual as well as AI-based transcriptions.
Phys.org > Computer SciencesTech companies want to build artificial general intelligence. But who decides when AGI is attained?
There's a race underway to build artificial general intelligence, a futuristic vision of machines that are as broadly smart as humans or at least can do many things as well as people can.
Phys.org > Computer SciencesGame theory research shows AI can evolve into more selfish or cooperative personalities
Researchers in Japan have effectively developed a diverse range of personality traits in dialogue AI using a large-scale language model (LLM). Using the prisoner's dilemma from game theory, Professor Takaya Arita and Associate Professor Reiji Suzuki from Nagoya University's Graduate School of Informatics' team created a framework for evolving AI agents that mimics human behavior by switching between selfish and cooperative actions, adapting its strategies through evolutionary processes. Their findings were published in Scientific Reports.
Phys.org > Computer SciencesProof-of-principle demonstration of 3D magnetic recording could lead to enhanced hard disk drives
Research groups from NIMS, Seagate Technology, and Tohoku University have made a breakthrough in the field of hard disk drives (HDD) by demonstrating the feasibility of multi-level recording using a three-dimensional magnetic recording medium to store digital information.
Phys.org > Computer SciencesComputer scientists show the way: AI models need not be so power hungry
The fact that colossal amounts of energy are needed to Google away, talk to Siri, ask ChatGPT to get something done, or use AI in any sense, has gradually become common knowledge.
Phys.org > Computer SciencesTeam proposes Python-based library for large-scale graph neural network recommendations
Graph neural networks (GNNs) have gained widespread adoption in recommendation systems. When it comes to processing large graphs, GNNs may encounter the scalability issue stemming from their multi-layer message-passing operations. Consequently, scaling GNNs has emerged as a crucial research area in recent years, with numerous scaling strategies being proposed.
Phys.org > Computer SciencesSimultaneous performance improvement and energy savings with an innovative algorithm for 6G vision services
Professor Jeongho Kwak's from the Department of Electrical Engineering and Computer Science at DGIST has developed a learning model and resource optimization technology that combines accuracy and efficiency for 6G vision services. This technology is expected to be utilized to address the high levels of computing power and complex learning models required by 6G vision services.
Phys.org > Computer SciencesA biased edge enhancement method for truss-based community search
Community Search, which targets a cohesive and meaningful community containing the query node, has drawn intense research interest and had extensive applications in various real-world networks recently.
Phys.org > Computer SciencesBrain-inspired chaotic spiking backpropagation
Since it was discovered in the 1980s that learning in the rabbit brain utilizes chaos, this nonlinear and initially value-sensitive dynamical behavior has been increasingly recognized as integral to brain learning.
Phys.org > Computer SciencesDeepMind develops SAFE, an AI-based app that can fact-check LLMs
A team of artificial intelligence specialists at Google's DeepMind has developed an AI-based system called SAFE that can be used to fact check the results of LLMs such as ChatGPT. The group has published a paper describing the new AI system and how well it performed on the arXiv preprint server.
Phys.org > Computer SciencesQ&A: How to train AI when you don't have enough data
Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.
Phys.org > Computer SciencesArtificial intelligence boosts super-resolution microscopy
Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.
Phys.org > Computer SciencesHow long before quantum computers can benefit society? That's Google's US$5 million question
Google and the XPrize Foundation have launched a competition worth US$5 million (£4 million) to develop real-world applications for quantum computers that benefit society—by speeding up progress on one of the UN Sustainable Development Goals, for example. The principles of quantum physics suggest quantum computers could perform very fast calculations on particular problems, so this competition may expand the range of applications where they have an advantage over conventional computers.
Phys.org > Computer SciencesNew software enables blind and low-vision users to create interactive, accessible charts
A growing number of tools enable users to make online data representations, like charts, that are accessible for people who are blind or have low vision. However, most tools require an existing visual chart that can then be converted into an accessible format.
Phys.org > Computer SciencesHow AI and a popular card game can help engineers predict catastrophic failure by finding the absence of a pattern
Humans are very good at spotting patterns, or repeating features people can recognize. For instance, ancient Polynesians navigated across the Pacific by recognizing many patterns, from the stars' constellations to more subtle ones such as the directions and sizes of ocean swells.
Phys.org > Computer SciencesMy search for the mysterious missing secretary who shaped chatbot history
The Massachusetts Institute of Technology's (MIT) Distinctive Collections archive is quiet while the blizzard blows outside. Silence seems to be accumulating with the falling snow. I am the only researcher in the archive, but there is a voice that I am straining to hear.
Phys.org > Computer SciencesNovel quantum algorithm proposed for high-quality solutions to combinatorial optimization problems
Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.
Phys.org > Computer SciencesLarge language models use a surprisingly simple mechanism to retrieve some stored knowledge
Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don't fully grasp how they work.
Phys.org > Computer SciencesTop computer scientists say the future of artificial intelligence is similar to that of Star Trek
Leading computer scientists from around the world have shared their vision for the future of artificial intelligence—and it resembles the capabilities of Star Trek character "The Borg."
Phys.org > Computer Sciences