Name: TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)
Uploaded: 2020-03-31T07:07:08.000Z
Duration: 7 min 47 s
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CHRIS MATTMANN: Hey, everybody, this is Chris Mattmann.

Adverbs of manner

And I'm not able to attend physically the TensorFlow Dev

My talk is about TensorFlow and Machine Learning

I'm the deputy CTO at the NASA Jet Propulsion Laboratory.

And I'm going to talk about our experience using TensorFlow

in the Innovation Experience Center at JPL.

JPL is a federally-funded research and development

Its goal is to do first-of-a-kind missions

in autonomy, technology development for space, in situ,

on-the-ground remote sensing of the earth,

and various other really nationally critically

It's nestled there in the beautiful mountains of La

We have about 6,000 employees, about a $2.6 billion-business

We have a pretty large facility, about 167 acres.

At JPL, I am the lead for the Innovation Experience Center.

I'm the deputy chief technology and innovation officer.

And what does our Innovation Experience Center look like?

Our recipe for it is to find the most difficult space,

the space that looks the ugliest, and make it our own.

Take it, gut it, have the actual engineers and data scientists

put it together and put it back together in the way

that they want-- sit-stand desks, basically,

follow the sun sunshades, IoT internet devices

that both frost and unfrost the conference

And we're really excited to be doing machine

In particular, we're excited in a few different areas.

Our organization is responsible for using TensorFlow

in the following ways-- the first is the M2020 Rover

to determine if we're adding any sort of biocontamination.

If we discover life, we actually want to do that.

of things, sensors that are measuring particulates,

increasing the density of the measurements that we have.

And we're doing predictions using TensorFlow

in machine learning to determine the next measurements,

In the bottom right, you can see our people counter.

It uses TensorFlow, and object detection,

as they go in and out of our tents at events,

like our IT Expo and so forth, so that we can tell people

when the right time is to actually attend these events,

Besides that, we're not just doing institutional things

running on what's called the RAD750 processor.

That's a radiation-hardened PowerPC 750 Lite processor.

high-performance spaceflight computing and the ability

to use things like Snapdragons from Qualcomm.

so that we can do actual computing onboard.

And if we could do high-performance spaceflight

computing onboard, we could do really cool things,

make our rovers smart, do things like drive-by science, which

as one of our three ongoing tasks and initiatives to use

and leverage high-performance spaceflight computing.

like terrain classifiers, which we've built with TensorFlow.

It's a convolutional neural network using TensorFlow to do

terrain classification-- ripples, smooth,

smooth with rocks-- to figure out where the rover should

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TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)

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