Artificial Intelligence | Machine Learning | Inbox 001

Artificial Intelligence | Machine Learning | Inbox 001
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AI (artificial intelligence) is the science and ML (machine learning) is the algorithm that make the machines smarter.

Artificial intelligence:

Artificial intelligence (AI) usually refers to the concept of non-human decision making. It is the theory and development of computer systems able to perform tasks normally requiring human intelligence (such as visual perception, decision-making, and translation between languages).

Speech recognition system like Amazon's Alexa, and IBM's Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996 are the examples of AI.

Machine learning:

Machine learning (ML) is basically a learning through doing by implementation of build models which can predict and identify patterns from data. Machine Learning is a subset of AI which is data oriented and deals with predicting. Used in search engines, YouTube recommendation list. Google uses Machine Learning to filter out spam messages from Gmail, etc.

Deep Learning is a subset of ML. It is used by companies like Netflix and Amazon to decide what you want to watch or buy next. Based on a large dataset you feed to it, it is able to make statements, decisions or predictions with a degree of certainty. Deep learning is also highly susceptible to bias.

Latest Developments and Amazing Applications:

1. VR (Virtual Reality) and (Augmented Reality)

a. Virtual Reality:

VR is typically achieved by wearing a Head Mounted Displays (HMDs) like Facebook’s Oculus, HTC (maker of the Vive), PlayStation, Samsung GearVR headsets equipped with the technology, and is used prominently in two ways:

  • To create and enhance an imaginary reality for gaming, entertainment, and play (Such as video and computer games, or 3D movies, head mounted display).
  • To enhance training for real life environments by creating a simulation of reality where people can practice beforehand (Such as flight simulators for pilots).

b. Augmented Reality:

AR—which involves overlaying images of the real world with additional graphics or information—has enjoyed much thanks to the release of Pokémon Go in 2016. AR doesn’t block out the world around the user in favor of virtual components; rather, it places a digital layer between the viewer and reality. Google Glass was a first attempt from Google in AR.

Samsung is ready to introduce its Monitorless AR glasses, which would connect to phones or PCs via WiFi and replace the screen on those devices.

Amazon is exploring the idea of adding VR/AR to help consumers make purchase decisions by showing them what products would look like in their homes. It will help shoppers decide if the product fit and look the part in their actual homes using VR.

2. Autonomous Cars:

(also known as a driverless car, self-driving car)

Every major manufacturer is testing them. Some states, like California, Florida, have begun AV licensing. But why do we need driverless cars?

  • The 120 crore cars in the world sit idle for almost 95% of the time.
  • Autonomous vehicles can park themselves and pack tightly into spaces, parking areas can be used more efficiently, and space will free up.

It is predicted that the first highly to fully automated vehicles will hit the market between 2020-2025.

The personal auto insurance sector can shrink to 40% of its current market in the next 25 years.

  • Uber bought Otto, an autonomous trucking startup, for $680 million.
  • Waymo- became an independent entity from Alphabet (Google's parent) research lab X.
  • Tesla with Model S, Model X, and future Model 3 - will be fully autonomous.
  • Intel buys driverless car company Mobileye for $15 billion.
  • Baidu is working on the autonomous car technology too.

3. Autonomous Flying Drones:

Small enough to fit into a car parking space when folded up, the one-seater passenger drones made by Chinese company Ehang are set to start picking up passengers in July this year, according to Dubai's Road and Transport Authority (RTA).

The Ehang 184 uses eight electric motors to power eight propellors on the end of the aircraft's four arms. It can carry a passenger weighing up-to 100 kg and fly at an average speed of 60 km/h.

  1. The passenger only has to mark the destination on a screen and let the taxi drone do its thing as it communicates with a control center.
  2. To call for a flying taxi, all passengers will need to do is enter their destination into an app. Then it maps the route and starts your ride.
A startup based in Israel, Airobotics, has finally scored the right to fly drones autonomously for business purposes in their nation’s airspace.

Airbus and Italdesign recently announced a new conceptual car-and-drone project called Pop.Up during the 87th Geneva International Motor Show. "It combines ground with the air and allows passengers a seamless and faster way of getting from A-to-B using the city sky," said Mathias Thomsen, general manager at Airbus.

The whole system is (theoretically) powered by artificial intelligence in Airbus concept- a fully electric, zero emission concept vehicle system.

4. Chatbots:

Chat bots are computer programs that mimic conversation with people using artificial intelligence. It is a service, powered by rules and sometimes artificial intelligence, that users interact with via a chat interface. Chat bots are a hot new feature in the consumer tech world. It is being chased simultaneously across voice and chat by Apple (Siri), Microsoft (Cortana and Tay), Google (Google Now), Amazon (Alexa on Echo) and Facebook (“M”) Slack, Telegram, etc.

LinkedIn is introducing its own kind of Chatbots. The new bot will be part of an online messaging service. Now chat on your home screen through a pop-up window, rather than going to a separate place that moves you away from your main page. The company is also adding more personalized features to its news feed, where members can see articles and announcements posted by their professional contacts.

  • There’s still room for playful experimentation when it comes to our automated friends. Chatbots are particularly well suited for mobile — perhaps more so than apps.
  • IBM Watson is the most prominent technology to develop chatbots.

This is the first (001) article of AI | ML Inbox stories. I think this is enough for the first series:)

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