We need to remember that creating fakes is an application, not a tool — and that a malicious applications are … More
Category: AI
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
One simple graphic: Researchers love PyTorch and TensorFlow
Interest in PyTorch among researchers is growing rapidly. In a recent survey—AI Adoption in the Enterprise, which drew more than … More
You’ll want Nexar’s newly released Live Map for your city
Extracting and exposing valuable insights to enable smart cities and many other applications. I recently had the privilege of getting … More
RISELab’s AutoPandas hints at automation tech that will change the nature of software development
Neural-backed generators are a promising step toward practical program synthesis. There’s a lot of hype surrounding AI, but are companies … More
AI and machine learning will require retraining your entire organization
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce. … More
