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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Vehicle routing is one of the most well-understood, extensively studied problems in both history and academia—it's been studied by academics since the early 1800s. Yet 200 years later, optimal efficiency remains just out of reach. And given the enormous increase in pressure for consumer expectations in recent years, that remaining "last mile" of vehicle routing efficiency could, on a global scale, make a huge difference to a huge number of people.
In this episode, we're joined by Matthias Winkenbach, Director of Research at the MIT Center for Transportation & Logistics. Matthias is an expert in urban logistics, last-mile delivery, and vehicle routing, and he has just launched a new lab, the MIT Intelligent Logistics Systems Lab, that will use AI and machine-learning techniques to tackle today's vehicle routing challenges—and that could make a major impact on vehicle routing solutions where traditional methods and algorithms have come up just short.
intelligent.mit.edu
Host & Executive Producer: Benjy Kantor
Marketing Writer & Producer: Dan McCool
Sound Editor: David Benjamin Sound
Audio Engineer: Kurt Schneider
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