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Mathematical Modeling News

January 27, 2025

Top Headlines

 

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption. Researchers have developed a novel method that ...
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

Latest Headlines

updated 12:12pm EST

Earlier Headlines

 

Researchers trained a large language model to read medical charts, looking for signs that kids with ADHD received the right follow-up care when using new ...

String theory remains elusive as a 'provable' phenomenon. But a team of physicists has now taken a significant step forward in validating string theory by using an innovative mathematical ...

When analyzing artworks, understanding the visual clarity of compositions is crucial. Inspired by digital artists, researchers have created a metric to quantify clarity in digital images. As a ...

A study by a team of scientists finds that AI systems are also prone to social identity biases, revealing fundamental group prejudices that reach beyond those tied to gender, race, or ...

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

A new study highlights a hidden challenge of using AI in medical imaging research -- the phenomenon of highly accurate yet potentially misleading results known as 'shortcut learning.' The ...

Mathematicians have applied statistical mechanics to climate change detection and attribution for first time. They have shown how to separate the 'signal' of human-made climate change from ...

Pretrained large-scale AI models need to 'forget' specific information for privacy and computational efficiency, but no methods exist for doing so in black-box vision-language models, where ...

To help improve punctuality by understanding how delays propagate and identifying critical trains, researchers have developed a new network-based ...

Modeling how cars deform in a crash, how spacecraft responds to extreme environments, or how bridges resist stress could be made thousands of times faster thanks to new artificial intelligence that ...

A pioneering artificial intelligence (AI) powered model able to understand the sequences and structure patterns that make up the genetic 'language' of plants, has been launched by a ...

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...

Researchers have developed a model that uses artificial intelligence (AI) to predict organoid development at an early stage. The model, which is faster and more accurate than expert researchers, ...

Helping out your neighbor or minding your own business? A challenging choice with different benefits for each decision. Game theory provides guidance in making such choices -- from a theoretical ...

Since the 1960s, scientists who study X-rays, lightning and similar phenomena have observed something curious: In lab experiments replicating these occurrences, electrons accelerated between two ...

An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D ...

The algorithms behind generative AI tools like DallE, when combined with physics-based data, can be used to develop better ways to model the Earth's climate. Computer scientists have now used ...

The term 'Digital Twin of the Earth' creates the idea of the availability of a highly accurate virtual copy of our planet, enabling researchers to predict the most complex future climate ...

Researchers share a mathematical model created to capture the nonlinear relationships between CO2, temperature, human population, and crop growth. Increasing evidence of chaotic and complex dynamics ...

Researchers developed an efficient approach for training more reliable reinforcement learning models, focusing on complex tasks that involve variability. This could enable the leverage of ...

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