Evolution of AI

  • The Start of AI

    The Start of AI
    The real start of AI was in 1956. The starting point that led towards an AI future was a workshop in Dartmod College, One British Polymath, Alan Turing, suggested that if humans use available information, as well as reason, to solve problems and make decisions, then why can’t machines do the same thing?
  • Theory of Mind

    Theory of Mind
    Machines in the next, more advanced, class not only form representations about the world,. If AI systems are indeed ever to walk among us, they’ll have to be able to understand that each of us has thoughts and feelings and expectations for how we’ll be treated. And they’ll have to adjust their behavior accordingly
  • Self Awareness

    Self Awareness
    The final step of AI development is to build systems that can form representations about themselves.
  • Reactive Machines

    Reactive Machines
    The most basic types of AI systems are purely reactive, and have the ability to form memories to use past experiences to inform current decisions. Deep Blue, IBM’s chess-playing supercomputer, in the late 1990s, is the perfect example of this type of machine. This type of intelligence involves the computer interprets the world directly and acting on what it sees. It doesn’t rely on an internal concept of the world. These simplest AI systems won’t ever be bored, or interested, or sad
  • Limited Memory

    Limited Memory
    This Type II class contains machines that can look into the past. Self-driving cars do some of this already.. This Type II class contains machines that can look into the past. . But these simple pieces of information about the past are only here for a short time.. They aren’t saved as part of the car’s library of experience it can learn from, the way human drivers gather experience over years behind the wheel
  • Siri

    Siri
    When the virtual assistant first launched in early 2010, it was a standalone iPhone app called Siri created by a 24-person startup. The Siri that Apple introduced in October 2011. had expanded its linguistic range from one to multiple languages. It was scaled to serve millions of people and programmed to operate internationally. It had acquired a voice with which to speak its answers, where before it had offered only written responses
  • Cortana

    Cortana
    Cortana launched in the US originally for Windows Phone 8.1 in 2014, and it eventually expanded out to Windows 10 Mobile, Windows 10 PCs and Xbox One, and even iOS and Android. Cortana is Microsoft’s virtual digital assistant.Cortana can be an encyclopedia, almanac, dictionary, and thesaurus too, though
  • Alexa

    Alexa
    Alexa is Amazon's digital assistant, first launched in 2014 along with the Amazon Echo smart speaker. Alexa can provide results for web searches, order products from Amazon. Amazon Alexa is a prime example of machine learning in action and is one of the most successful applications of consumer-based use of the new advances in artificial intelligence. Systems like Alexa are an early sign of a massive shift in how we interact with machines.
  • Google Home

    Google Home
    Google Home is Google's entry into the smart home hub field. It is a small speaker tower that is activated via voice commands. Google Home represents what is likely to be the future of GoogleGoogle home is a Wi-Fi connected smart home hub and voice-activated digital assistant. Google Home is a small Wi-Fi speaker tower that contains far-field microphones designed to pick up speech at a distance, as well as touch controls, a microphone mute button, and lights that let you know when it's listening