In a post from last summer, I noted how rapidly PyTorch was gaining users in the machine learning research community. … More
Category: AI
Demystifying AI Infrastructure
As companies increase their investments in artificial intelligence (AI), there is growing pressure on developers and engineers to deploy AI … More
Enterprise Applications of Reinforcement Learning: Recommenders and Simulation Modeling
[This post originally appeared on the Anyscale blog.]
The Road to Software 2.0
It’s clear that AI can and will have a big influence on how we develop software. By Mike Loukides and … More
A world of DeepFakes
We need to remember that creating fakes is an application, not a tool — and that a malicious applications are … More
Notes from the second PyTorch Developer conference
I was able to catch the morning sessions of the PyTorch developer conference in San Francisco, and just like last … More
Understanding deep neural networks
The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning. In this episode of the … More
How New Tools In Data And AI Are Being Used In Healthcare And Medicine
An overview of applications of new tools for overcoming silos, and for creating and sharing high-quality data. By Ben Lorica … More
Becoming a machine learning practitioner
The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. In this … More
How organizations are sharpening their skills to better understand and use AI
To successfully implement AI technologies, companies need to take a holistic approach toward retraining their workforces. Continuous learning is critical … More