Exploring Artificial Intelligence Variants and Their Uses
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
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.
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
The accelerator helps developers create turnkey, real-time solutions that address the most common pandemic-related workplace
Considering the increasing consequences of faulty AI, explainable AI is going to be a critical issue facing data science for many
Using AI to train at the edge is critical for IoT implementations, especially as they scale. But the sheer horsepower of the cloud means the two should go hand …
In the news this week: A COVID-19 Botathon challenges RPA developers to create innovative apps, MathWorks expands its AI capabilities, and more.
The lack of defined, repeatable process for ML model operations may be part of the reason so many do not reach production.
The most important investments that IBM is making in quantum AI is to build out its developer and partner ecosystem and to provide them with sophisticated …
As organizations evaluate how they fared during the pandemic, it will become obvious which applications proved too inflexible to adapt to what is rapidly …
The project is designed to help countries like the Philippines, which rely on the reefs for food, tourism, and protection against storms.
AI swarm systems draw input from individual people or machine sensors and then use algorithms to optimize the overall performance of the group in real