Mathematical Modeling News

September 25, 2023

Top Headlines

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug ...
Scientists develop computer models of patients' eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with ...
Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally ...
A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ...

Latest Headlines
updated 8:07pm EDT

Earlier Headlines

A mathematical model provides new insights into the distribution of genetic information during bacterial cell ...

Scientists pioneer a new machine learning model for corrosion-resistant alloy ...

Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable ...

Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team ...

Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge ...

Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a ...


New study identifies concerning gaps between how human radiologists score the accuracy of AI-generated radiology reports and how automated systems score them. Researchers designed two novel scoring ...

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success ...

A new technique incorporates many different building blocks of cellular metamaterials into one unified graph-based representation. This can be used to make a user-friendly interface that can quickly ...

An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the ...

Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer ...


Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) ...

A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior ...

Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The ...

Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows ...

Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. ...

A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This ...

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