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.
Amazon announced Spectrum, a service that supports SQL query against its Redshift MPP database and S3 storage service. However, Spectrum seems similar to another Amazon service, Athena.
To win in the marketplace, an organization must incorporate IoT data and analytics, as well as artificial intelligence, into its strategic vision.
- By Barry Devlin
- May 16, 2017
Inspirational quotes for aspiring data scientists, how neural networks power extraterrestrial exploration, and why cybersecurity is now important in major sports.
- By Lindsay Stares
- May 9, 2017
The benefits of various languages for machine learning, how a steel producer uses data science, and the advantages of graph database technology.
- By Lindsay Stares
- May 4, 2017