How Tesla is using AI and Big Data

How Tesla is using Artificial Intelligence and Big Data

Elon Musk’s Tesla Inc, the American electric-automobile manufacturing company has recently been the prey of a large degree of scrutiny and scepticism,  in particular regarding its failure to bring to completion its promise of delivering “fully self-driving cars” by the end of 2021. 

Firstly let’s talk about what exactly Tesla is about and what areas does the firm deals in. Established in 2003, Tesla was founded on the principle that electric cars are superior, faster and more enjoyable than gasoline cars. The company also claims to lay immense emphasis on striding towards a zero-emission future with less reliance on fossil fuels. 

One point that has been the target of much consideration and debate with respect to the firm is whether Tesla is merely an “automobile company” or whether it can also be termed as a “tech company”.

Alongside automobiles, the firm is also engaged in designing various other technologies that include designing traditional solar panels and rooftop solar tiles, developing different types of batteries, building their own charging stations and also creating its own computers with their major components for the Tesla vehicles. 

Tesla and Artificial Intelligence

Unlike its competitors, Tesla’s biggest USP isn’t just producing automobiles but also technologies. Tesla specializes in making use of high tech technologies to deliver luxurious long-range electric automobiles.   

Throughout its journey, AI and Big Data have remained steady partners of the firm. Tesla has taken excellent use of AI and Big Data for expanding its customer base. The firm has made use of existing customer databases for its data analytics using it to comprehend customer requirements and regularly updating their systems accordingly.

In the case of Artificial Intelligence, Tesla has leveraged it to focus on mainly 2 areas: All electric propulsion and autonomous driving.

AI Tools by Tesla

Initially, Tesla had collaborated with Nvidia to optimize it’s AI integrated chips. Later dropping Nvidia, the company vowed to create its own chips. With these chips, the firm aims to ensure that the cars are able to navigate through not only the freeways but also through local streets as well as traffic signals. 

In a recent Hot Chips conference Tesla confirmed that its performance has largely boosted owing to the heavy optimizations in the AI chip. A massive number of transistors have been used – 6 billion — which constitute the processing circuitry for each of Tesla’s chips.

Tesla’s in-house expertise in case of software and battery manufacturing has also helped in giving it an edge over its fellow manufacturers. The firm’s new AI technology aims at setting a milestone for mass-market automation for cars. 

Dual Chips

The Tesla system consists of two AI chips in order to support it for better road performance. Each of the AI chips makes a separate assessment of the traffic situation for guiding the car accordingly. The assessment of both chips is then matched by the system and followed if the input from both is the same.

In case of any discrepancy, a revaluation is done until a safe decision is taken. With the purpose of properly safeguarding the car against failure, it has surplus power as well as data input feeds so that the car can resume working in case of a single unit failure though it’s spare units. Through these abundant features the firm is ensuring that in case of an unanticipated failure, the car will be well equipped to avoid any accidents. 

Optimized Design

These AI chips have been optimized to run at 2 GHz and perform 36 trillion operations per second, achieving this level of performance by dismissing all generic functions and channeling the focus on only the important ones. Having taken over 14 months of severe research and involvement the chip was designed with Samsung now manufacturing the processor. The chip will be installed in both the new Tesla cars as well as the old models. 

About the Author

You may also like these