With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications.
AI/ML can be applied across a broad spectrum of applications and industries. Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing. Real-time image recognition is a key enabler for self-driving vehicles, while facial recognition is used by law enforcement across the globe. Manufacturing uses image recognition technology to spot defects in materials, organizations such as NOAA use satellite imagery to spot changes in weather, while social media platforms use image recognition to tag photos of friends and family.
from DZone.com Feed http://bit.ly/2WbN0xm
No comments:
Post a Comment