Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff.
I’m publishing a three-part series on the state of enterprise machine learning in The Next Platform. Part one is here.
The latest Kaggle newsletter is here, with lots of interesting content.
— Andrew Colyer summarizes a paper on the use of graph analytics to detect system intrusions at an early stage (before the hackers can do any harm.)
— Ben Dickson fears the “dark side” of machine learning.
— Stephen Gardner summarizes data privacy challenges posed by AI.
Marketing and Ad Tech
— Adgorithms, an ML-driven ad tech startup, uses AI to drive sales for Harley-Davidson.
— Qubit launches Qubit ML, an ML-driven digital experience management platform.
— Forbes asks: what product breakthroughs will recent advances in deep learning enable? Google Brain’s Eric Jang answers:
- Customized data compression
- Compressive sensing
- Data-driven sensor calibration
- Offline AI
- Human-computer interaction
- Artistic assistants
- Unstructured data mining
- Voice synthesis
— Circadence, a startup that provides cyber security training, announces plans to use the NVIDIA DGX-1 system in Project Ares, a cyber security training platform.
— Reuters reports on the role of ML and AI in financial market surveillance.
— GM plans to use IBM Watson to profile you and sell you stuff in your car.
— Dave Ramel describes Microsoft’s Cognitive Toolkit and IBM Watson Data Platform.
— Penguin announces the availability of two new Open Compute servers with NVIDIA GPU accelerators for deep learning.
— CaliberMind raises $1.1 million of seed capital. The company uses machine learning and language analysis to build psychographic profiles of buyers for B2B Sales and Marketing.