Will Synthetic Data Drive the Future of AI/ML Training?
Synthetic data can help train AI/ML applications in edge cases where it is difficult or dangerous to capture data in real
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
You Can’t Spell Aidful Without “AI”
Computer vision efficiencies become especially important as AI applications migrate to operate mobile devices, drones, automobiles, and more.
NVIDIA Launches Medical AI Computing Platform
The solution is an AI computing platform for medical devices that combines hardware systems and optimized libraries for data processing and
Introducing CDInsights for Cloud Data Insights
Cloud Data Insights is a community of experts for practitioners and data leaders looking to navigate the changing landscape of working with data in the
Real-time Analytics News for Week Ending June 4
In this week's real-time analytics news: SnapLogic launched the SnapLogic Accelerator for Amazon HealthLake, which helps establish a single platform for all …
Leveraging Knowledge Graphs to Enrich Machine Learning
By combining knowledge graphs and machine learning, organizations can extend the capabilities of ML and ensure the results derived from their models have solid …
Continuous App Availability Requires Predictive Insights
Given the complexity of today’s digital organizations, the importance of continuous app availability has taken on greater importance.
$580M to Anyone Who Can Understand What Happens Inside Our Favorite AIs?
It is relatively common knowledge that AI systems can exhibit biases that stem from their programming and data
Real-time Analytics News for Week Ending May 28
In this week's real-time analytics news: TigerGraph intros its TigerGraph ML Workbench and OneStream announced the limited general release of Sensible ML.
A Productive Cycle: Testing Low-Code Apps with Low-Code Testing Tools
Simpler software testing is needed as citizen developers using low-code development techniques aren’t willing to wait on IT’s sign-off.