Artificial Intelligence | Machine Learning All The Amazing Things That Have Happened So Far. Inbox 001

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Artificial intelligence (AI )and Machine learning (ML) are often seem to be used interchangeably. They have subtle but real differences. So what is the difference between artificial intelligence and machine learning? And What’s the technology behind it?

 

According to Nidhi Chappell, Head of Intel's machine learning: “AI is basically the intelligence – how we make machines intelligent, while machine learning is the implementation of the compute methods that support it. The way I think of it is: AI is the science and machine learning is the algorithms that make the machines smarter.

“So the enabler for AI is machine learning,” she added.

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, Siri, and translation between languages).

Speech recognition system like Amazon's Alexa interpreting and responding to speech, 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.

Google's DeepMind's AlphaGo, which in 2016 beat Lee Sedol at Go (game).

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/AR:

What is AR (Augmented Reality) and VR (Virtual 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 different 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).

Virtual reality is possible through a coding language known as VRML (Virtual Reality Modeling Language).

 

Image Source: https://www3.oculus.com

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: when the world witnessed the viral sensation of catching Pikachu! 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.

 

Pepsi Max utilized AR in incredible ways throughout their #LiveForNow campaign.

 

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. Pro sports and Teams like Dallas Cowboys are already using AR and VR to aid training.

 

Image Source: SAMSUNG

 

With Project Everest, 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 carself-driving car)

Every major manufacturer is testing them. Some states, like California, Florida, have begun AV licensing. Self-driving car has been caught in multiple collisions. The technology is clearly in it's nascent stage.

 

Image Source: Waymo

Why do we need driverless cars?

The answer lies here:

 

  • 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.
  • A new car in the UK lasts an average of 14 years

 

The competition in autonomous car technology has heated up considerably over the last 2 years. It is predicted that the first highly to fully automated vehicles (AVs) 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. The number of cars needed should significantly decrease even as the population increases.

  1. Uber bought Otto, an autonomous trucking startup, for $680 million.
  2. Waymo- became an independent entity from Alphabet (Google's parent) research lab X. Waymo is now considering to partner with manufacturers like Fiat Chrysler.
  3. Tesla has emerged as one of the front players in the electric car industry. With Model S, Model X, and future Model 3 - are being built with new hardware that will enable them to be fully autonomous.
  4. Intel Intel buys driverless car company Mobileye (which makes camera sensors and software for driverless cars) for $15 billion.
  5. Mercedes-Benz wants to help consumers put their time to better use, turning the commute into an opportunity to share lounge space.
  6. Intel is competing with Nvidia (with companies likes Tesla and Volkswagen as its customers)
  7. China's Baidu is working on the autonomous car technology too.

Uber initially suspended its self car driving test following the crash over the weekend but later resumed the operation on Monday. Police said the self-driving Uber SUV was obeying the law while the human driver of the other car was cited for a moving violation.

3. Autonomous Flying Drones:

The reason autonomous technology is gaining so much interest lately is because the technology has reached a point where it is now affordable to apply it to solutions. 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).

Las Vegas announced last summer that it would start a trial of drones for public use. The Ehang 184 uses eight electric motors to power eight propellors on the end of the aircraft's four arms.The Ehang 184 is currently priced at a very steep $200,000.

Image Source: Ehang 184

A startup based in Israel, Airobotics, has finally scored the right to fly drones autonomously for business purposes. The Civil Aviation Authority of Israel was the first in the world to authorize commercial, fully unmanned drone flights in their nation’s airspace. The drone enables industrial companies to leverage the technology without the need for a human operators.

The Features

  1. It travels in a sustainable, eco-friendly way since it moves only with electric power.
  2. It can carry a passenger weighing upto 100 kg
  3. Can fly at an average speed of 60 km/h to and a maximum height of 3,500 m.
  4. It has 30-minute maximum battery time.
  5. 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.
  6. 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.
  7. If an unforeseen event occurs, or in the case of an emergency, the flying taxi is scheduled to land at the nearest safe point.
  8. The communication between vehicle and control center, they say, is encrypted to avoid computer attacks.
  9. Its propellers fold inwards as it lands so it can fit in a single car parking space.

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.

 

Image Source: Italdesign

There are challenges as well:The big roadblock is the regulatory infrastructure that has to be put into place. Also what would a drone do if a landing area suddenly became unavailable?

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 and could live in any major chat product. 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, Text Messages, etc.

Chatbots(as called as conversational interface) are seen as easy and fun ways to help customers achieve an outcome. You’ll encounter them on web sites, social media and even on your smartphone.

 

 

@LinkedIn is introducing its own kind of Chatbots. The new bot will be part of an online messaging service. You can 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 (this it seems is also designed to keep more audience on that feed).

LinkedIn is also adding more personalized features to its news feed, where members can see articles and announcements posted by their professional contacts. A new "Interest Feed" will offer a collection of articles, posts and opinion pieces on major news events or current issues.

Now Amazon opens its machine learning capabilities allowing customers access to image recognition (AWS Rekognition), text to speech deep learning models (Polly) and the engine that powers Alexa (Lex). This was announced at Amazon's re:Invent developer event in Las Vegas.

It’s all very well creating a chatbot, but what's the purpose if it doesn’t provide a relevant service, or worse, fails to provide one at all? Facebook is scaling its chatbot efforts on Messenger and doing an overhaul of its chatbot system after it emerged that bots have a 70% failure rate.

  • 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.

 

  • The global chatbot market is anticipated to grow rapidly during the 2017 - 2021.

 

  • 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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