Building and deploying AI applications and systems at scale

The emphasis in AI is on replicating human performance. Examples abound: ImageNet, self-driving cars, etc. Its the same in medicine. Daniel Russakoff explains how Voxeleron LLC is working on whats nextAI algorithms that do things that humans cant, such as the prediction of age-related macular degeneration (AMD) progression, critical to successful treatment of this leading cause of vision loss.

Ananth Sankaranarayanan discusses three key shifts in the AI landscapeincredibly large models with billions of hyperparameters, massive clusters of compute nodes supporting AI, and the exploding volume of data meeting ever-stricter latency requirementshow to navigate them, and when to explore hardware acceleration.

Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making.

Surprisingly, often it's hard to find the precise correspondence between a known software vulnerability (in CVE) and the exact origin of the software (Maven coordinates or github repo/tag). Ideally, t …

Design thinking is a methodology for creative problem-solving developed at the Stanford d.school. The methodology is used by world-class design firms like IDEO and many of the world's leading brands like Apple, Google, Samsung, and GE. Michael Radwin prepares a recipe for how to apply design thinking to the development of AI/ML products.

Deep learning has been a sweeping revolution in the world of AI and machine learning. But sometimes traditional industries can be left behind. Alex Liang details two solutions where deep learning is used: a warehouse staffing solution where LSTM RNNs are used for staffing level forecasting and a pricing recommendation solution where DNNs were used for data clustering and demand modeling.