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12 podcasts found with category Artificial Intelligence

AEye's Different Vision for AV - Part 2 of 2

Blair LaCorte is president of AEye, a pioneer in artificial perception systems. Jay Campbell, co-founder of Tucker Ellis’s autonomous vehicle and intellectual property group and an intellectual property trial lawyer, interviews Mr. LaCorte about AEye’s systems based approach to artificial intelligence and perception, inspired by how the human visual cortex conceptually focuses on and evaluates the environment around a vehicle, driving conditions, and road hazards. By actively scanning the surrounding environment with a combination of LiDAR and cameras, AEye offers a unique and efficient paradigm for driverless technology.

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Resources
Blair LaCorte Named President of AEye

Professional Biography of Blair LaCorte

AEye’s website

Show Notes

0:44- The surprising challenge of AV safety
2:35- The migration of technology from autonomous vehicles to assisted driving
4:30- The rise of “mobility on demand”
6:30- The immediate future of autonomous vehicles 
10:50- How autonomous vehicles will change business and society
15:00- AV’s effects on economics of car ownership
16:30- Effect of “holdouts” on AV
17:30- AV’s effect on infrastructure

AEye's Different Vision for AVPart 1 of 2

Blair LaCorte is president of AEye, a pioneer in artificial perception systems. Jay Campbell, co-founder of Tucker Ellis’s autonomous vehicle and intellectual property group and an intellectual property trial lawyer, interviews Mr. LaCorte about AEye’s systems based approach to artificial intelligence and perception, inspired by how the human visual cortex conceptually focuses on and evaluates the environment around a vehicle, driving conditions, and road hazards. By actively scanning the surrounding environment with a combination of LiDAR and cameras, AEye offers a unique and efficient paradigm for driverless technology.

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Resources

Blair LaCorte Named President of AEye

Professional Biography of Blair LaCorte

AEye’s website

Show Notes
5:50 - AEye's unique approach to artificial perception through biomimicry of human visual cortex
6:10 - Active v. passive scanning
7:45 - Benefits of "intelligent scanning"
12:00 - The human visual cortex and its ability to process spacial and temporal data
13:50 - The visual cortex's preprocessing of sense data
15:00 - AEye's systems-based approach incorporating cameras and LiDAR
20:40 - The mechanics of LiDAR
21:30 - Meshing cameras and LiDAR
23:00 - Intelligent Detection and Ranging (iDAR) and active scanning
25:00 - The industry today and the limits of passive scanning

Fuzzy Logic and Neural NetworksDigging into the guts of an autonomous vehicle (Part 3 of 3)

Bart Kosko, is a Professor of Electrical Engineering in the University of Southern California's Viterbi School of Engineering and a Professor of Engineering and Law in USC's Gould School of Law. Kosko wrote the book on fuzzy logic and is an expert on neural networks. Jay Campbell, co-founder of Tucker Ellis’s autonomous vehicle and intellectual property group and an intellectual property trial lawyer, interviews Kosko. Jay and Kosko have been friends for many years going back to a case they worked on together nearly twenty years ago. Since then, Jay has tried several cases involving neural networks and fuzzy logic. Kosko is a fellow of the IEEE, a fellow of the International Neural Network Society (INNS), and a fellow of the International Fuzzy Systems Association (IFSA).

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Neural Networks - Moore's Law, Large Numbers, and MoreProf. Bart Kosko - (Part 2 of 3)

Dr. Bart Kosko, is a Professor of Electrical Engineering in the University of Southern California's Viterbi School of Engineering and a Professor of Engineering and Law in USC's Gould School of Law.  Dr. Kosko wrote the book on fuzzy logic and is an expert on neural networks.  Jay Campbell, co-founder of Tucker Ellis’s autonomous vehicle and intellectual property group and an intellectual property trial lawyer, interviews Dr. Kosko.  Jay and Dr. Kosko have been friends for many years going back to a case they worked on together nearly twenty years ago.  Since then, Jay has tried several cases involving neural networks and fuzzy logic.   Dr. Kosko is a fellow of the IEEE, a fellow of the International Neural Network Society (INNS), and a fellow of the International Fuzzy Systems Association (IFSA).

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Digging Into Neural NetworksProfessor Bart Kosko Part 1

Jay Campbell, intellectual property litigator and co-founder of Tucker Ellis’ Autonomous Vehicles and Artificial Intelligence Technologies group, interviews Dr. Bart Kosko. Dr. Kosko is a Professor of Electrical Engineering in the University of Southern California's Viterbi School of Engineering and a Professor of Engineering and Law in USC's Gould School of Law. Dr. Kosko is a fellow of the IEEE, a fellow of the International Neural Network Society (INNS), and a fellow of the International Fuzzy Systems Association (IFSA). As will be discussed in future portions of this interview series, Dr. Kosko quite literally wrote the book on fuzzy logic.

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Ride Hailing Launches 2019 Tech IPO Run

2019 is expected to be the year of the unicorn on Wall Street. A number of privately held companies valued at more than $1 billion are expected to launch initial public offerings in 2019. Lyft filed its S-1 registration statement to go public on March 1. Lyft has consistently lost money on operations, but its chief executive officer John Zimmer has long suggested that deploying autonomous vehicles will reduce their operating costs dramatically, leading to big profits. Lyft has started limited autonomous operations (level 4) in several cities, including Las Vegas. In addition to battling for market share in the United States, Lyft face strong competition globally since there are limited barriers to entry. Host Zach Adams discusses the future of autonomy and ride-hailing with a new voice, Raven Taylor, intellectual property lawyer Jay Campbell and business attorney Tod Northman.

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Show Notes
1:20 Background on the IPO Process
5:45 Fake it till you make it: IPO-ing while unprofitable
7:15 Ride hailing market
11:00 Will autonomous vehicles drive profit in ride hailing?
13:45 What to watch for this week for Lyft’s IPO
18:25 Waymo’s expansion in the Phoenix metro area

Allocating Liability for AV Crashes; Data Privacy; and RiskPart II of Professor Bryan H. Choi's Interview

We continue our interview with Professor Bryan H. Choi, who has a joint appointment to the Ohio State University College of Law and Department of Computer Science and Engineering. Professor Choi and host Zach Adams, a Tucker Ellis litigator, discuss allocation of liability for crashes involving autonomous vehicles, explore the data privacy implications of autonomous vehicles, then consider how to alleviate fear of technological risk, both real and perceived.

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Resources

Choi, Bryan H., Crashworthy Code, forthcoming in Wash. L. Rev. (2019)

Choi, Bryan H., A Prospect Theory of Privacy, 51 Idaho L. Rev. 623 (2015)

Choi, Bryan H., The Anonymous Internet 72 Md. L. Rev. 501 (2012)

Nissenbaum, Helen, Privacy In Context: Technology, Policy, and the Integrity of Social Life (2009)

Omm, Paul, The Myth of the Superuser: Fear, Risk, and Harm Online, 41 UC Davis 1327 (2008)

Show Notes

1:22 Regulation for autonomous vehicles

4:12 Crashworthiness as an imperfect but useful approach to allocating liability

8:10 Who is responsible for implementing a system to regulate autonomous vehicles?

10:45 Insurance is a red herring

15:42 How to think about data privacy permutations from autonomous vehicles

18:00 Ownership of data in motor vehicles

27:00 Accountable algorithms and explainability

29:30 Vehicle hacking fears

32:45 Cybersecurity risks from remote operations

34:51 Perceived risks

35:45 Education will help alleviate fear of perceived technological risk

36:00 Warnings and giving people control over the technology will also help alleviate fear of hacking

Cyberlaw, cybersecurity, cyberspaceExploring the interaction between the tort liability regime and cyberphysical systems

Jointly appointed in the Ohio State University College of Law and Department of Computer Science and Engineering, Professor Bryan H. Choi is uniquely suited to assess legal liability and regulation for autonomous vehicles. In the first of a two-part interview, host Zach Adams and Professor Choi explore how cyber systems disrupt legal systems, and in turn how legal constraints can channel and elevate the development of cyber systems. Professor Choi’s current work explores the interaction between the tort liability regime and cyberphysical systems such as self-driving cars.

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Resources

Choi, Bryan H., Crashworthy Code, forthcoming in Wash. L. Rev. (2019)

Choi, Bryan H., A Prospect Theory of Privacy 51 Idaho L. Rev. 623 (2015)

Choi, Bryan H., For Whom the Data Tolls: A Reunified Theory of Fourth and Fifth Amendment Jurisprudence 37 Cardozo L. Rev. 185 (2015)

Choi, Bryan H., The Anonymous Internet 72 Md. L. Rev. 501 (2012)

Choi, Bryan H., Note, The Grokster Dead-End 19 Harv. J.L. & Tech. 393 (2006)

Show Notes

1:58 Teaching law to engineering students

4:48 Lessons from Napster

5:40 Traditional legal rules still apply in cyberlaw

6: 50 Preparing students to practice when the law doesn’t yet exist

12:10 Exploring the current federal regulatory scheme for autonomous vehicles

13:50 Why software is an exception to traditional tort liability

15:10 Legal ramifications of software’s complexity

17:45 Software bugs in autonomous vehicles are inevitable

24:45 Crashworthy software

25:35 Software engineering is not traditionally considered a profession by the law

Tales from Disengagement Reports & Another AV Unicorn

California remains Ground Zero for autonomous vehicle testing, notwithstanding its regulatory scheme that requires companies that wish to test autonomous vehicles to obtain a permit and to file annual reports of “disengagements” experienced during testing. It’s a thoughtful approach that yields more information than the Department of Transportation’s “encouraged” annual safety report. Host and litigator Zach Adams discusses the just-released disengagement reports for 2018. With over 40 companies now testing, this is a rich field. We unpack the Apple disengagement reports in particular depth and chew on Timothy B. Lee’s provocative article about Waymo’s strategy. Finally, it has been a record-breaking month for autonomous vehicle companies with more than $1.6 billion raised in February 2019, and Tod discusses TuSimple and Nuro’s successful raises.

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Resources

Driverless investment tops $1.6B so far this month (February 15, 9201) (Eugene Demaitre author)

GM Cruise Averaged 5,200 Miles Between AV Disengagements (February 18, 2019) (Anthony Alaniz author)

Google’s Waymo risks repeating Silicon Valley’s most famous blunder (February 14, 2019) (Timothy B. Lee author)

How collaboration in the future of mobility will bridge the old and new, EY website (February 19, 2019) (John Simlett author)

Self-Driving Truck Tech Startup TuSimple Raises $95 Million in New Funding, WSJ (February 13, 2019) (Jennifer Smith author)

The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail (Clayton Christensen author)

Twitter thread (on Apple disengagements) (February 18, 2019) (Oliver Cameron author)

Show Notes

1:15 GM and GM Cruise are investing smartly

3:30 GM Cruise’s compensation strategy

5:20 Parallels between GM Cruise and Argo.ai

5: 50 Digging into investments in GM Cruise

11:50 Form factor for EV and AV – Where are the trucks?

13:55 Tesla strings together profitable quarters

17:37 Tesla acquires Maxwell Technologies

21:18 Tesla shrinks its workforce but draws muted reaction

23:18 Aurora raises $530 billion in a Series B24:30 Amazon jumps into autonomous vehicles
28:35 Ike – which is pursuing driverless commercial trucking – raises money to add talent

Show Me the Money! Corporate News Takes a Star Turn

Belying whispers of a slowdown in the autonomous vehicle industry – with doubters suggesting that AV’s potential had been oversold and the difficulty of execution underestimated –several news stories about AV companies caught our eye last week. Host Zach Adams, a litigator at Tucker Ellis, and Tucker Ellis corporate and transactional lawyer Tod Northman discuss the latest news to illustrate the trends they are seeing in the industry. In short, money continues to pour into the best companies as competitors vie for talent and technology leadership to realize the commercial potential of driverless transportation.

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Resources

Amazon Invests in Driverless Startup Aurora, Valued at More Than $2 Billion, Wall Street Journal (February 7, 2019) (Tim Higgins author)

Aurora cofounder and CEO Chris Urmson on the company’s new investor, Amazon, and much more

GM factory workers get $10,750 in profit sharing; company earnings slip, Detroit Free Press (February 6, 2019), (Jamie L. LaReau author)

GM's incentive plan for Cruise chief points to IPO: SEC filing, Reuters (February 6, 2019), (Ben Klayman author)

Investing in the Future of Transportation, Aurora Raises over $530 million, February 7, 2019 (Aurora Team author)

Maturing Industry Landscape Reshapes Autonomous Vehicle Transactions, Helpful Mechanic (November 7, 2018) (Tod Northman author)

Nuro Raises $940M From SoftBank Vision Fund For Robot Delivery

One Reason Staffers Quit Google's Car Project? The Company Paid Them So Much, Bloomberg (February 13, 2017) (Allistair Barr and Mark Bergen authors)

Self-driving truck startup Ike raises $52 million (February 5, 2019) Ike Raises (Kirsten Korosec author)

Bonus coverage on Ike: Kevin Zhang, of lead investor Bain Capital, on Twitter

Show Notes
1:15 GM and GM Cruise are investing smartly
3:30 GM Cruise’s compensation strategy
5:20 Parallels between GM Cruise and Argo.ai
5: 50 Digging into investments in GM Cruise
11:50 Form factor for EV and AV – Where are the trucks?
13:55 Tesla strings together profitable quarters
17:37 Tesla acquires Maxwell Technologies
21:18 Tesla shrinks its workforce but draws muted reaction
23:18 Aurora raises $530 billion in a Series B
24:30 Amazon jumps into autonomous vehicles
28:35 Ike – which is pursuing driverless commercial trucking – raises money to add talent

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