Learn how VISEO (https://aka.ms/iotshow/viseo) is analyzing large amounts of data (1 GB to 1 TB) collected from drones and other vehicles flying over 32,000 km of railway tracks in France for Altametris, a subsidiary of SNCF Réseau.

VISEO’s Vincent Thavonekham, Head of Smart Factory, and Igor Leontiev, Chief Cloud Solution Architect, show three demos in this amazing episode. Vincent and Igor demonstrate how VISEO processes 42 billion laser dots and other data collected from 450 km of railroad tracks from Paris to Lyon.

Using VISEO’s custom data model and Azure IoT Edge, data at the edge is now prepared for upload to the Cloud in days instead of weeks. From the Cloud, Altametris analyzes the data to track and maintain its railroad assets remotely reducing expenses and increasing safety.

Here’s an interesting (and cool) use of AI on drones.

Next-generation vehicles such as drones have a hard time landing. Drone controllers usually bring the drone near the ground and then drop it. How low the drone can be brought down depends on the aerodynamics of the drone and other reactions from the ground. Since drones of the future […]

Drones are ready to take off into widespread use.

They’re going mainstream, helping deliver medical supplies, inspecting hard to reach places, responding to emergencies, and, of course, delivering online orders.

Quartz News looks at how very close we are to making drones safe enough to operate across the skies.

Vijay Kumar is one of the top roboticists in the world, professor at the University of Pennsylvania, Dean of Penn Engineering, former director of GRASP lab, or the General Robotics, Automation, Sensing and Perception Laboratory at Penn that was established back in 1979, 40 years ago.

Vijay is perhaps best known for his work in multi-robot systems (or robot swarms) and micro aerial vehicles, robots that elegantly cooperate in flight under all the uncertainty and challenges that real-world conditions present.

This conversation is part of the Artificial Intelligence podcast run by Lex Fridman.

The future of shipping looks very much unmanned.

Today, container ships transport more than 90% of all goods in the world, but it can take over a month for those goods to sail from Beijing to New York. Automated cargo drones could be the disruption needed in a global supply chain that has been largely unchanged since the 1950s. By land, trucks move nearly 71% of all freight tonnage in the US, but there’s a shortage of truck drivers in the United States. So how do you speed up shipments while keeping personnel low?

I think we know how.