Why machine learning malfunctions, edge computing may surpass cloud, and IoT devices are difficult to coordinate.
- By Lindsay Stares
- August 15, 2017
A new program to help AI start-ups, how predictive analytics manages industrial risk, and how predictive analytics might cut costs for healthcare organizations.
- By Lindsay Stares
- August 1, 2017
To take advantage of machine learning, you'll need a new set of skills. Here are a few recommendations.
- By William McKnight
- July 20, 2017
The latest on AI-driven sentiment analytics, how big data is optimizing energy use, and how IoT devices are affecting food regulations.
- By Lindsay Stares
- July 13, 2017
The hunger for profit is driving the convergence of the digital and physical worlds, which raises some deeply disturbing privacy implications.
- By Barry Devlin
- July 10, 2017
Easy-to-use tools for deep learning will soon become available for mainstream consumption via packaged and SaaS applications as well as function-specific libraries.
Apple’s recent investment in machine learning, the general opinion of machine learning applications, and an initiative to better understand the inner workings of such algorithms.
- By Lindsay Stares
- May 23, 2017
Many of the products and services Google showcased at I/O 2017 seemed consumer-oriented, but their potential for transforming business is clear, such as TensorFlowLite, a new, mobile-optimized version of Google's hugely popular machine-learning framework.