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Google expands its Autonomous Car Program



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Google's self-driving Google car is now driving thousands of miles through Mountain View, Calif. and has so far avoided cyclists or delivery trucks. Eric Jaffe (a journalist) was invited by Google and allowed to ride the self-driving Google car. Jaffe also sat back in the seat to direct it. Dmitri Dluggov, Google’s software lead and Brian Torcellini lead test driver, was there to help Jaffe drive.

Waymo expanding service to downtown Phoenix

Google-affiliated self driving car company is planning to expand to downtown Phoenix. The pilot program will be offered to employees at Waymo headquarters. The company will then expand into the rest of the valley with its "trusted tester" program. This allows it feedback from a select number of people. Waymo already provides rides to the general public at Tempe, Mesa and Chandler.


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Its cars have been in a few minor accidents since 2009

Although Google claims that its driverless cars are safe, the truth is quite different. Since Google began testing its cars, there have been several minor accidents. Google has licensed 48 vehicles to drive on state roads and equipped 23 Lexus SUVs in driverless technology. Google claims that the accidents involved only minor fender-benders and that no one was hurt. One person who is familiar with accident reports claims that there have been 11 accidents between the two Google cars in the past nine years.


Its technology is comparable to self-driving cars.

One of the challenges of building a self-driving car is tracking objects in the environment. Google's Waymo, one of the leading companies in this field, is one example. Waymo cars use a combination sensor and camera to monitor their environment. Lidar, an optical sensor that bounces light off objects, determines their distance. Waymo's cars also utilize video cameras for monitoring traffic lights and looking out for pedestrians.

It includes Lexus SUVs in its testing fleet

Google is expanding its autonomous driving testing fleet to include a pair of Lexus SUVs. The company has previously used Prius cars to evaluate the technology. But, recently, it said that the luxury SUVs will be added to its testing fleet. The Lexus SUVs will help the company refine its technology in unfamiliar environments, such as construction zones and snow. Google team members will soon have the ability to use self-driving cars from the company to commute to work and other locations.


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Udacity has begun to collect its training data.

Sebastian Thrun, co-founder of online education company Udacity, is a prominent proponent of open source software. The development of his self-driving vehicle project has attracted international attention. His team won in 2005 the DARPA Grand Challenge. It is the premier competition in autonomous cars. Udacity aims to prepare students for jobs in the information technology industry. Its first course was called "Building a Robotic Car" and the company is now offering a nanodegree program in self-driving car engineering.




FAQ

How will governments regulate AI

Although AI is already being regulated by governments, there are still many things that they can do to improve their regulation. They need to make sure that people control how their data is used. They must also ensure that AI is not used for unethical purposes by companies.

They need to make sure that we don't create an unfair playing field for different types of business. You should not be restricted from using AI for your small business, even if it's a business owner.


What is the state of the AI industry?

The AI industry is expanding at an incredible rate. By 2020, there will be more than 50 billion connected devices to the internet. This means that all of us will have access to AI technology via our smartphones, tablets, laptops, and laptops.

This will also mean that businesses will need to adapt to this shift in order to stay competitive. Companies that don't adapt to this shift risk losing customers.

It is up to you to decide what type of business model you would use in order take advantage of these potential opportunities. You could create a platform that allows users to upload their data and then connect it with others. Or perhaps you would offer services such as image recognition or voice recognition?

Whatever you decide to do, make sure that you think carefully about how you could position yourself against your competitors. It's not possible to always win but you can win if the cards are right and you continue innovating.


Who is leading today's AI market

Artificial Intelligence, also known as computer science, is the study of creating intelligent machines capable to perform tasks that normally require human intelligence.

Today there are many types and varieties of artificial intelligence technologies.

There has been much debate about whether or not AI can ever truly understand what humans are thinking. Deep learning technology has allowed for the creation of programs that can do specific tasks.

Today, Google's DeepMind unit is one of the world's largest developers of AI software. Demis Hassabis founded it in 2010, having been previously the head for neuroscience at University College London. DeepMind developed AlphaGo in 2014 to allow professional players to play Go.


Which industries are using AI most?

The automotive sector is among the first to adopt AI. BMW AG uses AI, Ford Motor Company uses AI, and General Motors employs AI to power its autonomous car fleet.

Other AI industries include banking, insurance, healthcare, retail, manufacturing, telecommunications, transportation, and utilities.


Is Alexa an Artificial Intelligence?

The answer is yes. But not quite yet.

Amazon's Alexa voice service is cloud-based. It allows users to interact with devices using their voice.

The Echo smart speaker first introduced Alexa's technology. Since then, many companies have created their own versions using similar technologies.

These include Google Home and Microsoft's Cortana.



Statistics

  • In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
  • A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
  • More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
  • According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)



External Links

forbes.com


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How To

How to set Alexa up to speak when charging

Alexa, Amazon’s virtual assistant is capable of answering questions, providing information, playing music, controlling smart-home devices and many other functions. You can even have Alexa hear you in bed, without ever having to pick your phone up!

Alexa is your answer to all of your questions. All you have to do is say "Alexa" followed closely by a question. Alexa will respond instantly with clear, understandable spoken answers. Alexa will become more intelligent over time so you can ask new questions and get answers every time.

You can also control connected devices such as lights, thermostats locks, cameras and more.

Alexa can be asked to dim the lights, change the temperature, turn on the music, and even play your favorite song.

Setting up Alexa to Talk While Charging

  • Step 1. Turn on Alexa Device.
  1. Open Alexa App. Tap Settings.
  2. Tap Advanced settings.
  3. Select Speech Recognition
  4. Select Yes, always listen.
  5. Select Yes, please only use the wake word
  6. Select Yes to use a microphone.
  7. Select No, do not use a mic.
  8. Step 2. Set Up Your Voice Profile.
  • Add a description to your voice profile.
  • Step 3. Step 3.

Use the command "Alexa" to get started.

Example: "Alexa, good Morning!"

Alexa will respond if she understands your question. Example: "Good morning John Smith!"

Alexa will not respond to your request if you don't understand it.

  • Step 4. Step 4.

If necessary, restart your device after making these changes.

Notice: If you have changed the speech recognition language you will need to restart it again.




 



Google expands its Autonomous Car Program