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Categories: Anthropology: Cultures, Mathematics: Modeling
Published Demographics of north African human populations unravelled using genomic data and artificial intelligence



A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.
Published Researchers explore the potential of clean energy markets as a hedging tool



Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.
Published Breaking MAD: Generative AI could break the internet, researchers find



Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published When allocating scarce resources with AI, randomization can improve fairness



Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Published Raindrops grow with turbulence in clouds



Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.
Published Can a computer tell patients how their multiple sclerosis will progress?



Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published Large language models don't behave like people, even though we may expect them to



People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Risks and benefits of integrating AI into medical decision-making



Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.
Published Hunter-gatherers kept an 'orderly home' in the earliest known British dwelling



Archaeological evidence from the world-famous Mesolithic site of Star Carr in North Yorkshire has shown that hunter-gatherers likely kept an orderly home by creating 'zones' for particular domestic activities.
Published There is mathematical proof in the pudding



In blockchain development, there is a rule of thumb that only two of scalability, security, and decentralization are valid simultaneously. However, the mathematical expression of that rule was still a work in progress. Researchers discovered a mathematical expression for the blockchain trilemma. In the formula for Proof of Work-based blockchains, including Bitcoin, the product of the three terms--scalability, security, and decentralization--is 1.
Published Are AI-chatbots suitable for hospitals?



Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.
Published Scientists use AI to predict a wildfire's next move



Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.
Published Evidence for butchery of giant armadillo-like mammals in Argentina 21,000 years ago



Cut marks on fossils could be evidence of humans exploiting large mammals in Argentina more than 20,000 years ago, according to a new study.
Published How to assess a general-purpose AI model's reliability before it's deployed



A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.
Published A new neural network makes decisions like a human would



Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published When to trust an AI model



A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions



Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.
Published 'A history of contact': Geneticists are rewriting the narrative of Neanderthals and other ancient humans



Using genomes from 2,000 living humans as well as three Neanderthals and one Denisovan, an international team mapped the gene flow between the hominin groups over the past quarter-million years.
Published Researchers customize AI tools for digital pathology



Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
Published The plague may have caused the downfall of the Stone Age farmers



Ancient DNA from bones and teeth hints at a role of the plague in Stone Age population collapse. Contrary to previous beliefs, the plague may have diminished Europe's populations long before the major plague outbreaks of the Middle Ages, new research shows.