Philipp Holl-Technical University of Munich-Wi-Fi Holography and AI-Based Fluid Dynamics
Finding Genius Podcast
Richard Jacobs
4.4 • 1K Ratings
🗓️ 16 October 2018
⏱️ 20 minutes
🧾️ Download transcript
Summary
The hologram is a picture of the world as recorded by Wi-Fi," says Philip Holl, explaining the bachelor's thesis he completed at the Technical University of Munich. By recording all Wi-Fi signals that pass through a certain plane, Holl was able to create a 3D picture--or a hologram--of every object through which those signals passed. While it was done primarily for academic purposes, the use cases for this technology include indoor and outdoor tracking.
As a Ph.D. student, Holl has shifted his focus into the world of artificial intelligence and machine learning and is currently working on using artificial intelligence to solve fluid optimization problems. For example, in order for a robot to pick up a glass of water without spilling it, the robot must understand how the water will behave within that glass.
Holl also discusses a recent project in which he developed AI-based algorithms for determining whether rare events in physics can be classified as real, or are merely background events from other sources. Tune in for an in-depth explanation of all of Holl's work, and feel free to reach out with questions.
Transcript
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| 0:00.0 | Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs. |
| 0:07.0 | Future Technologies is to transform our lives for better or worse or the focus of this podcast. |
| 0:13.0 | Almost here means these technologies are now here and starting to be used. |
| 0:17.0 | Or just around the corner, for Bitcoin to artificial intelligence, |
| 0:21.0 | 3D printing, blockchain, virtual reality, and more. |
| 0:25.0 | Well this is Richard with the Future Tech Podcast, my guest is Philip Hull. |
| 0:31.6 | He's from the Technical University of Munich and we're going to be talking about the projects he's working on in holography and machine learning. |
| 0:39.6 | So, Philip, thank you for coming. Well, thank you. Yeah. |
| 0:43.0 | So tell me about your work in the holography and machine learning. |
| 0:46.2 | What are you working on at the university? |
| 0:48.0 | Right. |
| 0:48.4 | So the holography project is pretty much over right now. |
| 0:52.4 | So this is what I primarily did for my bachelor's thesis. |
| 0:56.0 | And the basic idea was to record all the Wi-Fi signal and basically yeah create a hologram out of this. |
| 1:07.0 | A hologram of what would the Wi-Fi signals look like in space or the data contained with them or what do you mean? |
| 1:14.8 | So you probably know the regular holograms, you record with usual light, visible light, and it's kind of similar to that but instead of printing them on a sheet of paper or something we record them in the computer and so we generate images on software. |
| 1:37.0 | What kind of what kind of what kind of what images are you trying to, |
| 1:42.0 | what information are you trying to, what information are you trying to |
| 1:43.3 | gather and what are you trying to create from the hologram? Right, so the way it works |
| 1:47.1 | it's pretty similar to a regular hologram in that we record all the Wi-Fi signals that pass through a certain |
| 1:58.6 | plane. |
| 1:59.8 | We decide the bounds basically and on one plane we record all the Wi-Fi signals that pass through. |
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