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Mathematical Modeling News

February 26, 2025

Top Headlines

 

Physicists bring unprecedented levels of predictability to the ancient practice of knitting by developing a mathematical model that could be used to create a new class of lightweight, ultra-strong ...
A team of scientists has now created a computer model that can represent and generate human-like goals by learning from how people create games. The work could lead to AI systems that better understand human intentions and more faithfully model and ...
How does a tennis player like Carlos Alcaraz decide where to run to return Novak Djokovic's ball by just looking at the ball's initial position? These behaviours, so common in elite athletes, are ...
Researchers have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of combination therapies for complex diseases. The ...

Latest Headlines

updated 7:42pm EST

Earlier Headlines

 

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. ...

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 ...

A new artificial intelligence tool combines data from medical images with text to predict cancer prognoses and treatment ...

In the same way that ChatGPT understands human language, a new AI model developed by computational biologists captures the language of cells to accurately predict their ...

A new study reveals that generative Artificial Intelligence (AI) can help expedite the search for solutions to reduce enteric methane emissions caused by cows in animal agriculture, which accounts ...

Researchers focus on enhancing the aerodynamic performance of autonomous vehicles by reducing drag induced by externally mounted sensors such as cameras and light detection and ranging instruments. ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal ...

Hula hooping is so commonplace that we may overlook some interesting questions it raises: 'What keeps a hula hoop up against gravity?' and 'Are some body types better for hula hooping ...

Researchers developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical ...

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 ...

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 ...

Engineers have developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired ...

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 ...

New research suggests that the making of string figures, a globally documented practice, may point to shared cultural heritage stretching back millennia. The research offers a new way to investigate ...

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 ...

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