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Categories: Mathematics: Modeling, Paleontology: Early Mammals and Birds
Published Study identifies distinct brain organization patterns in women and men
(via sciencedaily.com) Original source Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.
Published New chip opens door to AI computing at light speed
(via sciencedaily.com) Original source Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
Published Archaeologists discover oldest known bead in the Americas
(via sciencedaily.com) Original source The bead found at the La Prele Mammoth site in Wyoming's Converse County is about 12,940 years old and made of bone from a hare.
Published The hidden rule for flight feathers -- and how it could reveal which dinosaurs could fly
(via sciencedaily.com) Original source Scientists examined hundreds of birds in museum collections and discovered a suite of feather characteristics that all flying birds have in common. These 'rules' provide clues as to how the dinosaur ancestors of modern birds first evolved the ability to fly, and which dinosaurs were capable of flight.
Published Why insects navigate more efficiently than robots
(via sciencedaily.com) Original source Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.
Published Innovations in depth from focus/defocus pave the way to more capable computer vision systems
(via sciencedaily.com) Original source In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.
Published Making AI a partner in neuroscientific discovery
(via sciencedaily.com) Original source The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.
Published A machine learning framework that encodes images like a retina
(via sciencedaily.com) Original source Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Published Promising heart drugs ID'd by cutting-edge combo of machine learning, human learning
(via sciencedaily.com) Original source Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.
Published Swarming cicadas, stock traders, and the wisdom of the crowd
(via sciencedaily.com) Original source The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.
Published Scientists pinpoint growth of brain's cerebellum as key to evolution of bird flight
(via sciencedaily.com) Original source Evolutionary biologists report they have combined PET scans of modern pigeons along with studies of dinosaur fossils to help answer an enduring question in biology: How did the brains of birds evolve to enable them to fly?
Published How did humans learn to walk? New evolutionary study offers an earful
(via sciencedaily.com) Original source A new study, which centers on evidence from skulls of a 6-million-year-old fossil ape, Lufengpithecus, offers important clues about the origins of bipedal locomotion courtesy of a novel method: analyzing its bony inner ear region using three-dimensional CT-scanning. The inner ear appears to provide a unique record of the evolutionary history of ape locomotion.
Published How does a 'reverse sprinkler' work? Researchers solve decades-old physics puzzle
(via sciencedaily.com) Original source For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.
Published New method flips the script on topological physics
(via sciencedaily.com) Original source The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.
Published What coffee with cream can teach us about quantum physics
(via sciencedaily.com) Original source A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.
Published When lab-trained AI meets the real world, 'mistakes can happen'
(via sciencedaily.com) Original source Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient's microscope slides (a problem known as tissue contamination). But such contamination can easily confuse artificial intelligence (AI) models, which are often trained in pristine, simulated environments, reports a new study. Each of the four AI models in the study paid too much attention to the tissue contamination, which resulted in errors when diagnosing or detecting vessel damage, gestational age, lesions and prostate cancer, the study found.
Published New research guides mathematical model-building for gene regulatory networks
(via sciencedaily.com) Original source A newly published study provides guidance for building accurate mathematical models for gene regulatory networks.
Published AI harnesses tumor genetics to predict treatment response
(via sciencedaily.com) Original source Cancer resists treatment in a multitude of ways, but a new algorithm developed can decode them all simultaneously.
Published New AI makes better permafrost maps
(via sciencedaily.com) Original source New insights from artificial intelligence about permafrost coverage in the Arctic may soon give policy makers and land managers the high-resolution view they need to predict climate-change-driven threats to infrastructure such as oil pipelines, roads and national security facilities.
Published Woolly mammoth movements tied to earliest Alaska hunting camps
(via sciencedaily.com) Original source Researchers have linked the travels of a 14,000-year-old woolly mammoth with the oldest known human settlements in Alaska, providing clues about the relationship between the iconic species and some of the earliest people to travel across the Bering Land Bridge. Isotopic data, along with DNA from other mammoths at the site and archaeological evidence, indicates that early Alaskans likely structured their settlements to overlap with areas where mammoths congregated. Those findings, highlighted in the new issue of the journal Science Advances, provide evidence that mammoths and early hunter-gatherers shared habitat in the region. The long-term predictable presence of woolly mammoths would have attracted humans to the area.