How Tesla System Uses AI…??
What Type of Company is Tesla?
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 2019.
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.
Tesla, Inc., formerly Tesla Motors, American electric-automobile manufacturer. It was founded in 2003 by American entrepreneurs Martin Eberhard and Marc Tarpenning and was named after Serbian American inventor Nikola Tesla. Tesla, Inc. Tesla Motors was formed to develop an electric sports car.Funding for the company was obtained from a variety of sources, most notably PayPal cofounder Elon Musk, who contributed more than $30 million to the new venture and served as chairman of the company, beginning in 2004.
In 2008 Tesla Motors released its first car, the completely electric Roadster. In company tests, it achieved 394 km on a single charge, a range unprecedented for a production electric car.
What is AI/ML…??
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. … Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
The field of AI refers to developing computer systems able to perform “intelligent” tasks: visual perception, understanding language, reasoning and decision making. Machine learning is one way of building such systems based on providing the computer with examples of what it should do, and let it figure out (learn) how to do it.
AI has entered the scene of computer science in the early ’50s when computers started learning checkers strategies and speaking English.
The key difference between AI and ML are:
AI is decision making. ML allows system to learn new things from data. It leads to develop a system to mimic human to respond behave in a circumstances. Machine Learning and AI are used interchangeably.Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Tesla Case Study…❕❕
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”.
The essence of Tesla’s exclusive infotainment system, it’s user experience as well as it’s autonomous driving features is its software. The firm has executed numerous wireless updates over the years, updates most other automakers throughout the world are yet to familiarise with. The operating systems of Tesla vehicles are regularly upgraded and enhanced by the firm’s staff.
The MES of Tesla uses Oracle/SQL Server databases. More in-depth and customised test data is stored in a separate MySQL Test database which was developed by Tesla’s in-house dev team. Additionally, the web-enabled QuickBase is also used to track process changes and ongoing quality issues due to its flexibility and ease of use.
As a tech pioneer with a significant interest in the race to build and market autonomous vehicles, it makes sense that today they would be deeply interested in artificial intelligence. However, it was only this month that the business’s billionaire founder and CEO Elon Musk publicly announced it is working on its own AI hardware.
This is definitely interesting if not exactly surprising. Musk after all has been outspoken in his views about AI. As well as revolutionising almost every aspect of society, he has warned that it will cause widespread job losses and possibly even start World War Three. He is also a co-founder of OpenAI, a research organisation dedicated to ensuring that AI is developed and deployed in a safe, manageable way so as to minimise any existential risk robots may one day pose to humanity.Not many details have yet been made public about Tesla’s new AI, though it is believed it will process the “thinking” algorithms for the company’s Autopilot software which currently gives Tesla vehicles limited (“level 2”) levels of autonomous driving capability. Musk has said that he believes his cars will be fully autonomous (level 5 autonomous) by 2019.
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.
But as a business decision, it is hoping its pushy tactics will pay off, with experts concluding that the company has trumped its rivals in the data-gathering department. All the vehicles Tesla have ever sold were built with the potential to one day become self-driving, although this fact was not made public until 2014 when a free upgrade was rolled out. This means the company has had a lot more sensors out on the roads gathering data than most of its Detroit or Silicon Valley rivals, many of which are still at the concept stage. Having just launched its first mass-market car, the Model 3 with a price tag of $35,000, the company is expecting the number of its vehicles on the road to increase by almost two thirds to around 650,000 in 2018 — and that’s a lot of extra sensors.
In fact, all Tesla vehicles — whether or not they are Autopilot enabled — send data directly to the cloud. A problem with the engine operation meaning that components were occasionally overheating was diagnosed in 2014 by monitoring this data and every vehicle was automatically “repaired” by software patch thanks to this.
Tesla effectively crowdsources its data from all of its vehicles as well as their drivers, with internal as well as external sensors which can pick up information about a driver’s hand placement on the instruments and how they are operating them. As well as helping Tesla to refine its systems, this data holds tremendous value in its own right. Researchers at McKinsey and Co estimate that the market for vehicle-gathered data will be worth $750 billion a year by 2030.
The data is used to generate highly data-dense maps showing everything from the average increase in traffic speed over a stretch of road, to the location of hazards which cause drivers to take action. Machine learning in the cloud takes care of educating the entire fleet, while at an individual car level, edge computing decides what action the car needs to take right now. A third level of decision-making also exists, with cars able to form networks with other Tesla vehicles nearby in order to share local information and insights. In a near future scenario where autonomous cars are widespread, these networks will most likely also interface with cars from other manufacturers as well as other systems such as traffic cameras, road-based sensors or mobile phones.
Although details are scarce on the new AI technology that Tesla were creating, its current AI — driven by a partnership with hardware manufacturer Nvidia — is largely based on an unsupervised learning model of machine learning.
Tesla has clearly always been a company which has put data collection and analysis at the heart of everything it does. It isn’t just design and manufacturing either, with the company processing customer data with AI and even parsing it’s online forum for text insights into common problems. Whether this focus will lead to victory in the upcoming battle for supremacy of the autonomous car market remains to be seen, but it has certainly provided itself with a head start.
Tesla also announced the arrival of its much-awaited “Model Y”:
Model Y is Tesla’s first crossover electric SUV. The Model’s latest Version 10 software update allows the user to stream Netflix or play video games on the massive screen that the car provides within its cabin. Alongside these updates, Tesla has also designed an advanced autopilot feature. This Autopilot system constitutes various features which include emergency braking, speed control, and cruise control. It also has a camera that can cover a 360-degree view as well as automatically maintain distance from other vehicles.
The Model largely follows the Model 3 approach having pretty much all the features applicable in Model 3. For instance, it allows the driver to control anything through their phone, for instance, locking the car, unlocking it, etc. The model also offers a self-driving software update for an extra $7,000. This offers added features like an automatic lane change, automatic parking as well as an advanced navigation system which requires AI!!
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