Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Wearable health sensors such as photoplethysmography (PPG) wristbands, ECG patches and multi-modal biometric devices are typically developed and calibrated under controlled laboratory conditions.

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Trade Republic has unveiled the biggest overhaul of its trading infrastructure since launch, introducing a Best Price execution algorithm that searches liquidity across 30 global exchanges, a ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

Here's what that shift to AI means for the recruitment process, and how you can ensure your application gets picked from the ...

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...