Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...

Learn more about the Ling 1T model’s record-breaking AI capabilities, from coding to reasoning, and see if it lives up to its ...

Abstract: Traditional attention mechanisms in point cloud learning typically use a single type of positional encoding, which captures positional relationships within individual neighborhoods but ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Abstract: This lagtime intelligence framework is a premise for real-time data processing in IoT settings. It solves the dilemma of latency, bandwidth consumption, and data privacy via hierarchical ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...