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Categories: Computer Science: General, Mathematics: Modeling
Published Meet 'Coscientist,' your AI lab partner
(via sciencedaily.com) Original source An artificial intelligence-driven system has autonomously learned about certain Nobel Prize-winning chemical reactions and designed a successful laboratory procedure to make them. The AI did so in just a few minutes and correctly on its first attempt. According to the authors, this is the first time that a non-organic intelligence planned, designed and executed this complex reaction that was invented by humans.
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 Interactive screen use reduces sleep time in kids
(via sciencedaily.com) Original source While screen time is generally known to affect sleep, new research suggests that interactive engagement, such as texting friends or playing video games, delays and reduces the time spent asleep to a greater extent than passive screen time, like watching television -- especially for teens.
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 Saving endangered species: New AI method counts manatee clusters in real time
(via sciencedaily.com) Original source Accurately counting manatee aggregations within a region is crucial yet challenging. Harnessing the power of AI, researchers are using a deep learning-based crowd counting approach to automatically count the number of manatees in a designated region, using images captured from CCTV cameras, which are readily available, as input. The pioneering study not only addresses the technical challenges of counting in complex outdoor environments but also offers potential ways to aid endangered species.
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 Made-to-order diagnostic tests may be on the horizon
(via sciencedaily.com) Original source Researchers have made a breakthrough in diagnostic technology, inventing a 'lab on a chip' that can be 3D-printed in just 30 minutes. The chip has the potential to make on-the-spot testing widely accessible.
Published Researchers safely integrate fragile 2D materials into devices
(via sciencedaily.com) Original source A new technique integrates 2D materials into devices and systems in a single step, while keeping surfaces and interfaces free from defects. This method could enable devices like those in computer chips to achieve better performance than those made with conventional fabrication techniques.
Published Immersive VR goggles for mice unlock new potential for brain science
(via sciencedaily.com) Original source New miniature virtual reality (VR) goggles provide more immersive experiences for mice living in laboratory settings. By more faithfully simulating natural environments, the researchers can more accurately and precisely study the neural circuitry that underlies behavior. Compared to current state-of-the-art systems, which simply surround mice with computer or projection screens, the new goggles provide a leap in advancement.
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 Magnetization by laser pulse
(via sciencedaily.com) Original source To magnetize an iron nail, one simply has to stroke its surface several times with a bar magnet. Yet, there is a much more unusual method: A team has discovered some time ago that a certain iron alloy can be magnetized with ultrashort laser pulses.
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.