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We explore the potential of a new cutting edge artificial intelligence approach called neurosymbolic ai. A self-driving car is programmed and trained with neurosymbolic ai to drive around in Grand Theft Auto: San Andreas. We begin by introducing the history of AI talk about the problems with the tesla autopilot full self driving beta and introduce the neurosymbolic approach which combines the power of deep learning through neural networks with the symbolic approach, predicate logic. After we programmed our model the car is tested by driving around in gta.
Chapters:
00:00 - Intro
0:31 - Recent AI Hype
0:58 - History of AI
1:43 - Recent AI advances
2:45 - Self-Driving cars
4:43 - Current approach to create autonomous vehicles
6:58 - Deep learning explained
7:40 - Neurosymbolic ai introduction
8:44 - Simulation Environment: GTA San Andreas
9:33 - Neurosymbolic ai explained
14:38 - BREAK 1
15:12 - DeepProbLog explained
21:14 - Training of our self-driving car
22:51 - BREAK 2
23:30 - Testing model 1
24:40 - Testing model 2
25:43 - Testing final model (no traffic)
27:21 - Testing final model (with traffic)
29:31 - Outro
Music used in video: https://www.youtube.com/playlist?list=PLrx64D7mZounqklLa5GSsgMTR0k-SvqWl
Break 1 music: Prod. Fedia - Sky Temple
Break 2 music: de de mouse 1
DeepProbLog: https://github.com/ML-KULeuven/deepproblog
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Tags: #ai #selfdrivingcar #computerscience #gta #gtasanandreas #programming #gtasanandreas #artificialintelligence #tesla #machinelearning #gta5 #science #technology #gaming autopilot #tutorial Machine learning, Artificial intelligence, Gaming, Model building, Step-by-step tutorial, Cutting-edge technology, Future of AI., Computer vision, Deep learning, Autonomous, vehicles, Virtual driving, AI development, Gaming and AI, Automation, Machine intelligence, Robotic cars, AI applications, Model training, AI simulation, Intelligent systems, Gaming programming, AI advancements
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