MOTORMIA’s Post

Where did Sensai come from? Why is there a need for Ai in automotive? Very simple, we are car guys who wanted to sell more cars! So we teamed up with an incredible group of AI engineers 🤖 and went to work! Test after test, we wanted to make sure our tool helped us as dealers! We think we are on to something that is a game changer! Come find out what all the buzz is!! #aitechnology #automotive #dealerships #dealershiplife #asksensai

Factory Floor-to-Loading Zone with unsupervised FSD a ~1.2M stretch. For those who’ve experienced FSD or seen videos you’re probably thinking, “Big Deal”. Until you realize that that job/task has been eliminated. 1 or more employees did that. They had to then get a ride back for the next vehicle, which means possibly more than 1 employee/vehicle dedicated to that job/task. Also eliminated. Probably still not impressed? See where this goes. Finished vehicles load themselves onto Tesla Semis, themselves equipped with unsupervised FSD. The Semis head to Tesla sales centers, the vehicles unload themselves into designated spots. Tesla robot preps vehicle for delivery and handles the delivery process to the customer. The only human in a future finished vehicle-to-delivery to customer business process flow is the customer himself/herself. Not to mention that this might be only during the transition period while vehicle ownership is still a thing and we haven’t all changed consumer behavior to taking robotaxis. The above flow would also apply to 3rd party fleet centers, Tesla releasing robotaxis to portions of the Tesla Network that need to be supplemented with Tesla owned robotaxis.

Using AI to visualize my ideas for a pop-up concept for Rivian cars: More to come! Please share and post if you like my ideas. #AI #CreativeDirection #EventDesign #Rivian #Innovation #DesignInspiration #ExperientialMarketing #TechInDesign #CreativeTech #PopUpEvents #Events #midjourney #runway 🚙

Nick Latino, Fixed Ops Director of Parkway Toyota, walks us through how Alpha Drive AI has helped lower missed appointments, save significant time, and reduce the burden on staff, allowing them to focus on higher-priority tasks. #AI #Automotive #Dealership #BDC #FixedOps

【Tesla Robotaxi: What are the Challenges Ahead?】https://lnkd.in/gYMqcazy Tesla's new AI strategy, launched in 2023, focuses on an E2E deep learning neural network that combines perception, localization, planning, and vehicle control into a single system. This network will be trained through reinforcement learning using data from millions of Tesla vehicles. While this approach sounds promising, it’s still unproven for AVs. The key challenges are whether the technology will be safe enough for self-driving vehicles and when it will be ready for mass deployment, with safety standards at least 10 times better than human drivers. It is likely that the technology won’t be proven until around 2030, with deployment possibly delayed further by regulatory approvals. #MarkLines #automotive #VSI #Tesla

https://lnkd.in/erMKrygP #Tesla just unveiled its new cybercab and robovan. Tesla plans to start mass producing them in 2026. It all comes down to the software, more specifically the AI behind the software. The bottom line is that you need to get these vehicles out on the road so the algorithms can be tested, that's the real way to really get the AI more advanced. Question is where and in what capacity. More importantly, aside from #NVDA which other suppliers are critical to make this whole thing work. That's going to be the big trade. #stockmarket #stocktrading #AI #machinelearning

Mercedes introduces AI-powered chat in over 3 million cars, letting drivers interact seamlessly with their vehicles using voice commands. more: t.ly/Nqmk8 #Mercedes #AI #AInews

AI rendering or something Toyota Motor Corporation are actually producing? If so, it has 👍🏼👍🏼👍🏼 from me. This looks great! If AI can design beautiful cars give it the job! #AI #cardesign #toyota Your thoughts?

That's a fascinating example of AI's potential in real-world scenarios! Tesla's advanced AI capabilities, as demonstrated by this incident, show how technology can enhance safety and decision-making on the road. It's exciting to think about the future of autonomous vehicles and how they could transform transportation.

Sunday Insights - Driver License A Thing Of The Past? This post highlights a Tesla vehicle's ability to autonomously navigate off the road to avoid a collision, showcasing the power of AI in automotive technology. The author, Endrit Restelica, emphasizes Tesla's identity as an AI company, not just a car manufacturer, and speculates on the future necessity of driver's licenses given the advancements in self-driving technology. AI demonstrates the potential for autonomous vehicles to improve road safety by reacting to hazards. Tesla's innovation in self-driving cars positions it as a leader in AI technology within the automotive industry. Innovation in AI could significantly alter the future of driving, questioning the need for traditional driver's licenses.