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Categories: Computer Science: Quantum Computers, Mathematics: Modeling
Published A new mathematical language for biological networks
(via sciencedaily.com) Original source Researchers are presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. The team has successfully identified master regulators within the context of an entire genetic network. The research results provide a coherent theoretical framework for analyzing biological networks.
Published Non-toxic quantum dots pave the way towards CMOS shortwave infrared image sensors for consumer electronics
(via sciencedaily.com) Original source Researchers have fabricated a new high-performance shortwave infrared (SWIR) image sensor based on non-toxic colloidal quantum dots. They report on a new method for synthesizing functional high-quality non-toxic colloidal quantum dots integrable with complementary metal-oxide-semiconductor (CMOS) technology.
Published Using AI, researchers identify a new class of antibiotic candidates
(via sciencedaily.com) Original source Using artificial intelligence, researchers discovered a class of compounds that can kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes more than 10,000 deaths in the U.S. each year.
Published Large language models validate misinformation
(via sciencedaily.com) Original source In a recent study, researchers systematically tested an early version of ChatGPT's understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction.
Published Clinicians could be fooled by biased AI, despite explanations
(via sciencedaily.com) Original source A new study finds that clinicians were fooled by biased AI models, even with provided explanations for how the model generated its diagnosis.
Published AI's memory-forming mechanism found to be strikingly similar to that of the brain
(via sciencedaily.com) Original source An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.
Published Artificial intelligence can predict events in people's lives
(via sciencedaily.com) Original source Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events.
Published Computational model captures the elusive transition states of chemical reactions
(via sciencedaily.com) Original source Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published Deep neural networks show promise as models of human hearing
(via sciencedaily.com) Original source In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.
Published Artificial intelligence systems excel at imitation, but not innovation
(via sciencedaily.com) Original source Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.
Published World's first logical quantum processor
(via sciencedaily.com) Original source A team has realized a key milestone in the quest for stable, scalable quantum computing. For the first time, the team has created a programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations. Their system is the first demonstration of large-scale algorithm execution on an error-corrected quantum computer, heralding the advent of early fault-tolerant, or reliably uninterrupted, quantum computation.
Published ChatGPT often won't defend its answers -- even when it is right
(via sciencedaily.com) Original source 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.
Published North Korea and beyond: AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations?
(via sciencedaily.com) Original source A joint research team in computer science, economics, and geography has developed an artificial intelligence (AI) technology to measure grid-level economic development within six-square-kilometer regions. This AI technology is applicable in regions with limited statistical data (e.g., North Korea), supporting international efforts to propose policies for economic growth and poverty reduction in underdeveloped countries. The research team plans to make this technology freely available for use to contribute to the United Nations' Sustainable Development Goals (SDGs).
Published Diamonds and rust help unveil 'impossible' quasi-particles
(via sciencedaily.com) Original source Researchers have discovered magnetic monopoles -- isolated magnetic charges -- in a material closely related to rust, a result that could be used to power greener and faster computing technologies.
Published Mathematics supporting fresh theoretical approach in oncology
(via sciencedaily.com) Original source Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.
Published Scientists use A.I.-generated images to map visual functions in the brain
(via sciencedaily.com) Original source Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.
Published Researchers show an old law still holds for quirky quantum materials
(via sciencedaily.com) Original source Long before researchers discovered the electron and its role in generating electrical current, they knew about electricity and were exploring its potential. One thing they learned early on was that metals were great conductors of both electricity and heat. And in 1853, two scientists showed that those two admirable properties of metals were somehow related: At any given temperature, the ratio of electronic conductivity to thermal conductivity was roughly the same in any metal they tested. This so-called Wiedemann-Franz law has held ever since -- except in quantum materials. Now, a theoretical argument put forth by physicists suggests that the law should, in fact, approximately hold for one type of quantum material, the cuprate superconductors.
Published Quantum tool opens door to uncharted phenomena
(via sciencedaily.com) Original source Scientists have developed a new tool for the measurement of entanglement in many-body systems and demonstrated it in experiments. The method enables the study of previously inaccessible physical phenomena and could contribute to a better understanding of quantum materials.
Published Nextgen computing: Hard-to-move quasiparticles glide up pyramid edges
(via sciencedaily.com) Original source A new kind of 'wire' for moving excitons could help enable a new class of devices, perhaps including room temperature quantum computers.
Published New computer code for mechanics of tissues and cells in three dimensions
(via sciencedaily.com) Original source Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.