Mirofish AI is blowing up with its swarm-based predictions. Is it a breakthrough or just AI sounding smart again?

The strategic integration combines Cognite’s Industrial Knowledge Graph and AI agents with NVIDIA’s time-series AI model to drive operational efficiency and predictive accuracy at scale.

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...

MiroFish AI uses thousands of digital agents to simulate markets and predict public behavior through large scale swarm ...

Traders are using Claude AI to build automated Polymarket trading bots that scan news, detect mispriced probabilities, and ...

ABSTRACT: Stroke remains a leading cause of mortality and disability worldwide, requiring timely therapeutic decisions. Existing content-based drug recommendation approaches often rely on static ...

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

A production-ready machine learning system that predicts adverse drug-drug interactions by modeling molecular structures as heterogeneous graphs with temporal attention mechanisms that capture how ...

Complete end-to-end AI pipeline for soil disease classification from sensor data. The system achieves 85.17% accuracy with F1-macro score of 0.8472 across 7 disease classes.

Abstract: This paper proposes a spatio-temporal graph convolutional network incorporating knowledge graph embeddings for hydrological time series prediction. A knowledge graph is constructed to ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...