Business Analytics

Tesla and The Role of Artificial Intelligence in Operations

The American electric-car manufacturer Tesla Inc., run by Elon Musk, has recently been under intense criticism and scepticism, particularly after it failed to deliver the “fully self-driving cars” it promised by the end of 2019.

Let’s first discuss what Tesla is all about and what industries the company operates in. Tesla was formed in 2003 on the tenet that electric vehicles are superior than gasoline-powered vehicles in terms of performance, speed, and fun factor.

The corporation also says it places a lot of attention on moving away from fossil fuels and towards a future with zero emissions.

Whether Tesla is only a “automobile company” or if it can also be described as a “tech company” has been a topic of great discussion and argument with regard to the company.

Tesla has a much larger approach in addition to providing its principal service, even though it produces cars like other auto manufacturing companies. The company makes a point of saying that it wants to “accelerate the world’s transition to sustainable energy.”

Software is at the heart of Tesla’s unique entertainment system, user interface, and autonomous driving features. Over the years, the company has implemented a number of wireless modifications that the majority of other manufacturers across the world are still getting used to. The Tesla Motors company routinely updates and improves the Tesla automobiles’ operating systems.

Along with designing cars, the company also works on designing traditional solar panels and rooftop solar tiles, creating various battery types, designing their own charging stations, and designing their own computers with key components for the Tesla vehicles.

The Latest Project

The company currently has a number of new projects planned, with one of the most notable being an effort to speed up the installation of solar tile roofs with international growth scheduled, as Elon Musk just tweeted.

The company also wants to use distributed solar energy to completely transform the electrical system. Basically, Tesla is developing a “scalable hierarchical energy distribution grid” technology to change how solar power is distributed across the electrical grid. Tesla Energy will be a key component of Tesla’s future operations, according to Musk. The company intends to maximise all solar and energy systems it installs at its clients’ residences in order to maximise benefits for both them and the electrical grid.

“Palladium” is yet another recent project being worked on by the company in secrecy. The platform’s flagship sedans, the Model S and Model X, are rumoured to undergo a facelift and refresh as part of the project.

“Model Y” is the company’s most recent model.

The Model Y is Tesla’s first electric crossover SUV. On the sizable screen that the Model provides within its cabin, users may stream Netflix or play video games thanks to the most recent Version 10 software upgrade. Tesla has also created an improved autopilot feature in addition to these changes. The functions of this autopilot system include emergency braking, speed control, and cruise control. Additionally, it contains a camera that can automatically keep a safe distance from neighbouring vehicles and provide a 360-degree vision.

Deep neural network techniques were used in the development of this autopilot. It utilises radar, cameras, and ultrasonic sensors to perceive the area around the vehicle.  With the help of these sensors and cameras, drivers may be aware of their surroundings, which are then processed in a matter of milliseconds to make driving safer and less taxing. In bright, dark, and various weather circumstances, radar is used to observe and measure the space surrounding the cars. A secure drive is ensured by the use of passive camera and ultraviolet techniques that measure proximity in each situation.

The Model mainly adopts the Model 3 methodology and has almost all of the Model 3 features. For instance, it enables the driver to manage anything via their phone, such as locking or unlocking their vehicle. For an additional $7,000, the vehicle also includes a self-driving software update. This includes extra features including automatic parking, lane-change, and a sophisticated navigation system.

Artificial Intelligence and Tesla

Contrary to its rivals, Tesla’s primary USP isn’t simply making cars, but also developing technologies. Tesla specialises in using cutting-edge technologies to produce high-end, long-range electric vehicles.

AI and Big Data analytics have remained the company’s dependable companions throughout its journey. Big Data and AI have been very effectively used by Tesla to increase its consumer base. The company has used its current customer databases for data analytics, leveraging them to understand client needs and continually improving their systems in line with those needs.

In the beginning, Tesla worked with Nvidia to enhance its AI-integrated circuits. Later, the business promised to develop its own chips. The company wants to use these chips to make sure that the automobiles can travel not only via motorways but also through local streets and traffic lights.

At a Hot Chips conference, Tesla acknowledged that the AI chip’s extensive optimisations have improved its performance. The processing circuitry for each of Tesla’s chips is made up of an enormous number of transistors—6 billion.

Tesla has an advantage over rival manufacturers thanks to its in-house expertise in software development and battery production. The new AI technology hopes to pave the way for widespread vehicle automation.

Dual Chips

Two AI chips are part of the Tesla system, which helps it perform better on the road. For the purpose of directing the car appropriately, each AI chip independently evaluates the current state of the traffic. If the input from both chips is the same, the system will match it and proceed with assessing both chips.

Revaluations are performed in the event of discrepancies until a sound choice is made. In order to adequately protect the automobile against failure, it contains extra power and data input feeds so that, in the event of a single unit failure, the car may continue to operate using its spare units. With these numerous features, the company is ensuring that in the event of an unexpected breakdown, the car can avoid accidents.

Optimised Design

These AI chips were designed to operate at 2 GHz and carry out 36 trillion operations per second. To achieve this level of performance, all non-essential functions were eliminated and only the crucial ones were given attention. The chip was created after more than 14 months of intense research and work, and Samsung is already producing the CPU. Both the new Tesla vehicles and the older versions will have the chip installed.

Tesla, a company that is recognised as one of the market’s most aggressive innovators, has always made data collection and analysis its most powerful tool. They followed the same rules when it came to creating their own chips. The company has been able to create autonomous vehicles that have the potential to completely change how we drive automobiles thanks to artificial intelligence and data analysis.

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