At the Edge

predictive AI for autonomous buses
At the Edge

Automotive at the Edge: Using AI to Predict Mass Transit Patterns

Creating fully autonomous vehicles at scale means solving not just thousands of problems, but literally millions and billions of vehicle issues and driving scenarios. There may be light at the end of the tunnel, though. Artificial intelligence (AI) could take on these challenges by predicting passenger journeys: where passengers are going, when they need to arrive, and what stops they need to make.
sensors in autonomous vehicles
At the Edge

Automotive at the Edge: Machine Learning to Help Self-Driving Vehicles See Better

In the real-world, road conditions are rarely ideal and usually messy. For drivers, quick decisions are just a way of life on the road. If the goal is to have autonomous vehicles think like human drivers, then the vehicles need to see and react to everything in their path. As Dave Tokic, VP Marketing & Strategic Partnerships at Algolux, says, we need autonomous cars to have autonomous vision.
Edge computing reshaping the cloud and cloud computing
At the Edge

Edge Computing is Reshaping the Cloud

We’re starting to see the rise of a new computing model called edge computing. The basic idea behind edge computing is to take some of the power of cloud computing and bring it closer to our devices that are located near the end, or edge, of the network. But cloud computing isn't going away — far from it.
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