Machine Learning for Autonomous Vehicles • Oscar Beijbom & Prayson Daniel • GOTO 2022

This interview was recorded for GOTO Unscripted. #GOTOcon #GOTOunscripted #GOTO

Read the full transcription of this interview here:

Oscar Beijbom - Co-Founder at Nyckel
Prayson Daniel - Principal Data Scientist at NTT DATA

DESCRIPTION
Self-driving vehicles have been a hot topic for a while now and everyone is waiting for the next breakthrough. Prayson Daniel, principal data scientist at NTT DATA, and Oscar Beijbom, co-founder at Nyckel, stuck their heads together to review what type of machine learning data is needed to run an autonomous vehicle. Furthermore, they talked about topics such as security, language choices and when the time of deploying a model has come.

TIMECODES
00:00 Intro
01:40 What kickstarted the autonomous vehicles trend?
06:11 ML for self-driving vehicles
09:21 Gathering data for training ML for autonomous cars
11:22 Real-world data collection for ML
17:09 Are we ready for autonomous cars?
21:37 A day in the life of a SW dev. building autonomous cars
26:27 Language choices
29:58 When is a model good enough for production?
35:25 Security & autonomous cars: Can hackers take control?
37:29 Nyckel: A ML platform
39:38 Will self-driving cars become a reality in the next 5 years?
41:43 Outro

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#DataScience #ML #AI #MachineLearning #ArtificialIntelligence #Programming #AV #AutonomousVehicles #SelfDrivingCar #SelfDrivingCars #AutonomousCar #AIModels #EthicalML #EthicalAI #Ethics #MachineEthics

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