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Categories: Anthropology: Cultures, Mathematics: Modeling
Published Computer scientists show the way: AI models need not be SO power hungry
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The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They argue that a model's energy consumption and carbon footprint should be a fixed criterion when designing and training AI models.
Published The math problem that took nearly a century to solve: Secret to Ramsey numbers
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Little progress had been made in solving Ramsey problems since the 1930s. Now, researchers have found the answer to r(4,t), a longstanding Ramsey problem that has perplexed the math world for decades.
Published Physics-based predictive tool will speed up battery and superconductor research
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Researchers have developed physics-based guidelines that will benefit host-guest intercalated materials research. By using only two guest properties and eight host-derived descriptors, they correctly predicted the intercalation energies and stabilities of many host-guest systems. This work is an important advance that will minimize the extensive trial-and-error laboratory work that otherwise slows down research and development in battery and superconductor technologies.
Published Ancient DNA reveals the appearance of a 6th century Chinese emperor
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What did an ancient Chinese emperor from 1,500 years ago look like? A team of researchers reconstructed the face of Chinese Emperor Wu of Northern Zhou using DNA extracted from his remains. The study suggests the emperor's death at the age of 36 might be linked to a stroke. It also sheds light on the origin and migration patterns of a nomadic empire that once ruled parts of northeastern Asia.
Published Artificial intelligence boosts super-resolution microscopy
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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.
Published Rectifying AI's usage in the quest for thermoelectric materials
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AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.
Published Persian plateau unveiled as crucial hub for early human migration out of Africa
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A new study combining genetic, palaeoecological, and archaeological evidence has unveiled the Persian Plateau as a pivotal geographic location serving as a hub for Homo sapiens during the early stages of their migration out of Africa. It highlights the period between 70,000 to 45,000 years ago when human populations did not uniformly spread across Eurasia, leaving a gap in our understanding of their whereabouts during this time frame.
Published Physicists develop modeling software to diagnose serious diseases
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Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Toba supereruption unveils new insights into early human migration
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Working in the Horn of Africa, researchers have uncovered evidence showing how early modern humans survived in the wake of the eruption of Toba, one of the largest supervolcanoes in history, some 74,000 years ago. Modern humans dispersed from Africa multiple times, but the event that led to global expansion occurred less than 100,000 years ago. Some researchers hypothesize that dispersals were restricted to 'green corridors' formed during humid intervals when food was abundant and human populations expanded in lockstep with their environments. But a new study suggests that humans also may have dispersed during arid intervals along 'blue highways' created by seasonal rivers. Researchers also found evidence of cooking and stone tools that represent the oldest evidence of archery.
Published New archive of ancient human brains challenges misconceptions of soft tissue preservation
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A new study has challenged previously held views that brain preservation in the archaeological record is extremely rare. The team compiled a new archive of preserved human brains, which highlighted that nervous tissues actually persist in much greater abundances than traditionally thought, assisted by conditions that prevent decay.
Published Powerful new AI can predict people's attitudes to vaccines
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A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published New technique helps AI tell when humans are lying
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Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Vac to the future
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Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements
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The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation
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Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns
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Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Balancing training data and human knowledge makes AI act more like a scientist
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When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions
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A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Running performance helped by mathematical research
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A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
Published New AI model draws treasure maps to diagnose disease
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Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.