Yuchen Liu Examines Data-Driven Financial Risk Management for Multinational Enterprises

A data-driven financial risk framework integrates big data, machine learning, statistical modeling, and visualization ...
Science

Mental bootstrapping enables human-level concept learning in self-supervised deep models

How agents acquire abstract concepts from sparse, diverse examples—often without explicit supervision—remains a central ...
TMCnet

Stowers scientists develop a new way to visualize what AI models learn from DNA -- and discover how to control what the models learn next

The AI model interpretation method, PISA, shows what genomic AI models learn, allowing scientists to separate experimental bias from biology, train more focused models, and uncover unexpected insights ...
technologynetworks

AI and Machine Learning for Spatial Data Visualization

AI spatial data visualization is redefining how researchers interpret molecular patterns in tissue, surfacing biological structure that conventional tools cannot reach. Each spatial transcriptomics ...
IEEE

Trustworthy Deep Learning-Assisted Visualization and Analysis for Distribution-Based Ensemble Scientific Data Summarization

Abstract: To study complex real-world phenomena using computer simulations, scientists often rely on ensemble datasets generated from multiple simulation runs with varying parameter configurations.
Frontiers

WCS-YOLOv8s: an improved YOLOv8s model for target identification and localization throughout the strawberry growth process

To enhance the quality and yield of strawberries, it is essential to effectively supervise the entire growing process. Currently, the monitoring of strawberry growth primarily relies on manual ...
IEEE

A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting

Air pollution is becoming a pressing issue affecting human health, with 7.3 billion people worldwide facing air pollution levels considered unsafe, according to WHO statistics.1 In Australia, the ...
Scientific Research Publishing

Yang, L., Chen, X. and Zhang, K. (2022) Deep Learning Approaches for Big Data Visualization: A Comprehensive Review. IEEE Transactions on Big Data, 8, 1023-1037.

ABSTRACT: The advent of the big data era has made data visualization a crucial tool for enhancing the efficiency and insights of data analysis. This theoretical research delves into the current ...
marktechpost

Transformer Explainer: An Innovative Web-Based Tool for Interactive Learning and Visualization of Complex AI Models for Non-Experts

Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning. Despite their pervasive use, the internal mechanics of Transformers remain a ...