A new turbulence equation for eddy interactions: AI and physics team up to tackle notoriously difficult question

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Unite.AI

When AI Solves Open Math Problems, What’s Left for Genius?

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
IEEE

A Machine Learning-Based OCR System for LaTeX Conversion of Mathematical Expressions

Abstract: This study focuses on an advanced OCR system developed for the automated conversion of handwritten or printed mathematical expressions into LaTeX format. The proposed solution alleviates ...
GitHub

Enhancing Handwritten Mathematical Expression Recognition with Convolutional Block Attention Refinement Module and Multi-Task Learning

Handwritten Mathematical Expression Recognition (HMER) is challenging due to complex structural relationships, implicit symbols, and variations in handwriting styles. Therefore, this paper presents a ...
eLife

Predicting the effect of CRISPR-Cas9-based epigenome editing

This study presents an advance in efforts to use histone post-translational modification (PTM) data to model gene expression and predict epigenetic editing activity. Such models are broadly useful to ...
Hosted on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

Codon optimization is a central strategy in recombinant protein production, enabling genes from one organism to be efficiently expressed in another. Conventional methods typically replace ...
IEEE

An Automated Academic Book Scanner With Deep Learning Powered Math Expression Detection and Recognition

Abstract: Mathematical expressions are hard to read, which makes it hard to digitize printed STEM material. Conventional OCR methods do not work well on contents which comprise of text along with ...
Frontiers

Differential gene expression profiling and machine learning-based discovery of key genetic markers in VTE and CKD

Introduction: Venous thromboembolism (VTE) and chronic kidney disease (CKD) are multifactorial disorders characterized by complex genetic and molecular mechanisms. However, their shared genetic ...
Washington Examiner

Mamdani’s government grocery stores plan is based on an accounting error

When Zohran Mamdani, the New York Democratic mayoral nominee, defends his idea of socialist grocery stores, he says he can pay for them by cutting city subsidies to “corporate grocery stores.” This ...