What is Machine Learning and Artificial Intelligence and it is used in Tesla for automation ?

What is Artificial Intelligence ?

Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

What is Machine Learning ?

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.

How Tesla is using the Machine Learning and Artificial Intelligence:-

Tesla mainly uses artificial intelligence in its autonomous cars.

Artificial intelligence evaluates the data gathered through machine learning and then makes those decisions on the road.

The way Tesla’s autonomous cars gather data is through different sensors and cameras. The operating system in the car has to gauge distance and time to make timely decisions. Road safety is the primary concern here.

The gathered data is used to generate maps that show things such as the increase in traffic speed on a certain road and the location of hazards.

Machine learning (in the cloud) communicates this data to the entire fleet, while at an individual car level, edge computing decides what action the car needs to take right now.

There is a third level of decision-making, where Tesla cars form a network to share local information and insights.

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.

In the future, there will likely be a network of cars from different manufacturers collaborating with each other as well as other systems such as traffic cameras and road-based sensors.

In general, Tesla autonomous vehicle technology should be able to do some of the following things:-

Sense plan act: In order to make sure of the plan and act, the vehicle machine learning algorithms must be able to predict the outcomes which are based on a high volume of data.

Mapping: The vehicle computer must possess highly detailed, comprehensive maps of street features, which includes the signs, streetlights, and curbs.

Light detection and ranging: Using the sensors such as the LIDAR and cameras, the vehicle should be able to create a short distance readout of its surrounding in the real-time scenario.

Vehicle to Vehicle communication: Tesla autonomous vehicle technology does not have this up and running yet, but the best-case scenario would even involve an Internet of Things aspect, in which all the autonomous vehicle is communicating some of the essential details to each other.

Some other companies which are working on Artificial intelligence and machine learning :-

These are the some of the companies which we might don’t know rightnow but in near future everyone will be familiar with these names

  1. ASCENT : Ascent is an AI-powered regulatory platform that identifies the regulations a company must comply with and keeps them updated as the rules change. It’s difficult for a person or team to keep track of every single new rule or regulation change in the financial sector. Ascent’s platform saves companies valuable employee time and money by using AI to constantly monitor for rule changes and quickly alert the proper people to any compliance issues.
  2. CLARIFAI : Clarifai is an image recognition platform that helps users organize, curate, filter and search their media. Within the platform, images and videos are tagged, teaching the intelligent technology to learn which objects are displayed in a piece of media.
  3. OPENAI : OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly. The company is sponsored by some of tech’s biggest names, such as Amazon, Microsoft, Elon Musk and Reid Hoffman.
  4. DATAROBOT : DataRobot provides data scientists with a platform for building and deploying machine learning models. The software helps companies solve challenges by finding the best predictive model for their data. DataRobot’s tech is used in healthcare, fintech, insurance, manufacturing and even sports analytics.




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