Quanta Magazine

Fed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
IEEE

Machine Learning Algorithms for Predicting Drug Efficacy and Adverse Effects Based on Individual Genetic Profiles

Abstract: ADRs, or adverse drug reactions, are a chronic problem in drug development and patient safety, frequently resulting in expensive clinical failures and serious health outcomes. Conventional ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
Frontiers

A Hybrid Metaheuristic Algorithm with Machine Learning for Detecting Denial-of-Service Attacks in Wireless Sensor Networks

The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...
IEEE Spectrum on MSN

AlphaGenome deciphers non-coding DNA for gene regulation

Deep-learning model decodes the regulatory effects of DNA changes ...
AZoRobotics

AI in Vaccine Development: How Machine Learning is Speeding Up Discovery

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...