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Categories: Mathematics: Modeling, Paleontology: Early Mammals and Birds
Published Pacific kelp forests are far older that we thought



Fossils of kelp along the Pacific Coast are rare. Until now, the oldest fossil dated from 14 million years ago, leading to the view that today's denizens of the kelp forest -- marine mammals, urchins, sea birds -- coevolved with kelp. A recent amateur discovery pushes back the origin of kelp to 32 million years ago, long before these creatures appeared. A new analysis suggests the first kelp grazers were extinct, hippo-like animals called desmostylians.
Published Oldest known fossilized skin is 21 million years older than previous examples



Researchers have identified a 3D fragment of fossilized skin that is at least 21 million years than previously described skin fossils. The skin, which belonged to an early species of Paleozoic reptile, has a pebbled surface and most closely resembles crocodile skin. It's the oldest example of preserved epidermis, the outermost layer of skin in terrestrial reptiles, birds, and mammals, which was an important evolutionary adaptation in the transition to life on land.
Published New research sheds light on an old fossil solving an evolutionary mystery



Picrodontids -- an extinct family of placental mammals that lived several million years after the extinction of the dinosaurs -- are not primates as previously believed.
Published Researchers developing AI to make the internet more accessible



In an effort to make the internet more accessible for people with disabilities, researchers have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.
Published New AI tool accurately detects COVID-19 from chest X-rays



Researchers have developed a groundbreaking artificial intelligence (AI) system that can rapidly detect COVID-19 from chest X-rays with more than 98 percent accuracy.
Published A new mathematical language for biological networks



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 Using AI, researchers identify a new class of antibiotic candidates



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



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



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



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



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



Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published AI provides more accurate analysis of prehistoric and modern animals, painting picture of ancient world



A new study of the remains of prehistoric and modern African antelopes found that AI technology accurately identified animals more than 90% of the time compared to humans, who had much lower accuracy rates depending on the expert.
Published Deep neural networks show promise as models of human hearing



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



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 Why the long face? Scientists solve a major puzzle in mammal skull shape evolution



Horses have developed long faces simply 'because they can,' a team of evolutionary biologists say. In a major review of how mammalian heads evolve, scientists found that adaptations to feeding explain why large species of mammals often have much longer faces compared to smaller closely related species -- a pattern referred to as Craniofacial Evolutionary Allometry (CREA).
Published ChatGPT often won't defend its answers -- even when it is right



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?



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 Mathematics supporting fresh theoretical approach in oncology



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



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.