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Categories: Anthropology: General, Mathematics: Modeling

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Biology: Biochemistry Biology: Biotechnology Biology: Cell Biology Biology: Developmental Biology: General Biology: Genetics Mathematics: Modeling
Published

Cracking the code of life: new AI model learns DNA's hidden language      (via sciencedaily.com)     Original source 

With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.

Anthropology: Early Humans Anthropology: General Biology: Biochemistry Biology: Evolutionary Biology: General Biology: Zoology Offbeat: General Offbeat: Paleontology and Archeology Offbeat: Plants and Animals Paleontology: Fossils Paleontology: General
Published

Half a billion-year-old spiny slug reveals the origins of mollusks      (via sciencedaily.com)     Original source 

Exceptional fossils with preserved soft parts reveal that the earliest mollusks were flat, armored slugs without shells. The new species, Shishania aculeata, was covered with hollow, organic, cone-shaped spines. The fossils preserve exceptionally rare detailed features which reveal that these spines were produced using a sophisticated secretion system that is shared with annelids (earthworms and relatives).

Mathematics: Modeling
Published

Method prevents an AI model from being overconfident about wrong answers      (via sciencedaily.com)     Original source 

Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.

Anthropology: Cultures Anthropology: General Mathematics: Modeling
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Demographics of north African human populations unravelled using genomic data and artificial intelligence      (via sciencedaily.com)     Original source 

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.

Anthropology: General Mathematics: Statistics Offbeat: Computers and Math Offbeat: General Offbeat: Paleontology and Archeology
Published

Modern behavior explains prehistoric economies      (via sciencedaily.com)     Original source 

What if the 'Market Economy' always existed? Archaeologists tried to answer this question by researching how much Bronze Age people used to spend to sustain their daily lives. Their results show that, starting at least 3,500 years ago, the spending habits of prehistoric Europeans were not substantially different from what they are today.

Environmental: General Geoscience: Environmental Issues Mathematics: Modeling
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Researchers explore the potential of clean energy markets as a hedging tool      (via sciencedaily.com)     Original source 

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.

Mathematics: Modeling Offbeat: Computers and Math Offbeat: General
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Breaking MAD: Generative AI could break the internet, researchers find      (via sciencedaily.com)     Original source 

Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.

Mathematics: Modeling Mathematics: Statistics
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When allocating scarce resources with AI, randomization can improve fairness      (via sciencedaily.com)     Original source 

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.

Anthropology: General Biology: Cell Biology Biology: Evolutionary Biology: Zoology Ecology: Extinction Ecology: Nature Ecology: Trees Offbeat: General Offbeat: Paleontology and Archeology Offbeat: Plants and Animals Paleontology: Early Mammals and Birds Paleontology: General
Published

The ancestor of all modern birds probably had iridescent feathers      (via sciencedaily.com)     Original source 

Birds tend to be more colorful in the tropics, and scientists wanted to find out how they got there: if colorful feathers evolved in the tropics, or if tropical birds have brightly-colored ancestors that came to the region from somwhere else. Scientists built a database of 9,409 birds to explore the spread of color across the globe. They found that iridescent, colorful feathers originated 415 times across the bird tree of life, and in most cases, arose outside of the tropics -- and that the ancestor of all modern birds likely had iridescent feathers, too.

Computer Science: General Environmental: General Environmental: Water Geoscience: Environmental Issues Geoscience: Severe Weather Mathematics: Modeling
Published

Raindrops grow with turbulence in clouds      (via sciencedaily.com)     Original source 

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.

Mathematics: Modeling
Published

Can a computer tell patients how their multiple sclerosis will progress?      (via sciencedaily.com)     Original source 

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.

Mathematics: Modeling
Published

Large language models don't behave like people, even though we may expect them to      (via sciencedaily.com)     Original source 

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.

Mathematics: Modeling
Published

Risks and benefits of integrating AI into medical decision-making      (via sciencedaily.com)     Original source 

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.

Mathematics: General Mathematics: Modeling
Published

There is mathematical proof in the pudding      (via sciencedaily.com)     Original source 

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.

Computer Science: General Mathematics: Modeling
Published

Are AI-chatbots suitable for hospitals?      (via sciencedaily.com)     Original source 

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.

Computer Science: General Environmental: Wildfires Geoscience: Severe Weather Mathematics: Modeling
Published

Scientists use AI to predict a wildfire's next move      (via sciencedaily.com)     Original source 

Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.

Anthropology: General Biology: Evolutionary Biology: General Paleontology: Fossils Paleontology: General
Published

New snake discovery rewrites history, points to North America's role in snake evolution      (via sciencedaily.com)     Original source 

A new species of fossil snake unearthed in Wyoming is rewriting our understanding of snake evolution. The discovery, based on four remarkably well-preserved specimens found curled together in a burrow, reveals a new species named Hibernophis breithaupti. This snake lived in North America 34 million years ago and sheds light on the origin and diversification of boas and pythons.

Anthropology: General
Published

Human occupation in southeast Indonesia dating back 42,000 years      (via sciencedaily.com)     Original source 

Evidence of human occupation in southeast Indonesia dating back 42,000 years offers fresh clues on the route taken by some of the first humans to arrive in our region, according to a new study.

Mathematics: Modeling
Published

How to assess a general-purpose AI model's reliability before it's deployed      (via sciencedaily.com)     Original source 

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.