Machines can often act and react like humans only if the information is well provided. Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

Machine perception deals with the capability to use sensory inputs to deduce the different aspects of the world, while computer vision is the power to analyze visual inputs such as facial, object and gesture recognition.

Robotics is also a major part of AI. Robots require intelligence to handle tasks such as object manipulation and navigation, along with sub-problems of localization, motion planning and mapping.

Using these technologies, Konjoin trains computers to accomplish specific tasks by processing large amounts of data and recognising different patterns in the data.

Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering.

AI examples such as – from computer playing chess to self-driving cars, which rely on deep learning and natural language processing.

Machine , Deep learning and Robotics forms a core part of AI.

Artificial intelligence (AI) emphasizes the creation of intelligent machines that work and react like humans. Some of these activities includes:

  • Speech recognition

  • Learning

  • Planning

  • Problem solving

  • Knowledge

  • Reasoning

  • Perception

  • Planning

  • Ability to manipulate and move objects

  • AI automates repetitive learning and discoveries through data.

  • AI adds intelligence & adapts through progressive learning algorithms.

  • AI analyzes deeper and gets the most out of data.

  • AI achieves incredible accuracy.

  • Many Industries like Healthcare, Retail, IoT, Customer Services, BFSI etc are integrating AI into their business strategy, taking into account the convergence of people, process and technology.

  • AI in Retail: AI provides virtual shopping capabilities that offer personalisation, recommendations and discuss purchase options with the consumer.

  • AI in Manufacturing: AI can analyze factory IoT data as it streams from connected equipment to forecast expected load and demand using recurrent networks. A specific deep learning ecosystem used with sequencial data.

  • Health Care: AI applications can provide personalized medicine, X-ray readings etc. Personalised healthcare assistance, reminding patients to take regular medicine dose, exercise, fitness and heal thing eat.

  • Sports: AI is used to capture images during a game and provide coaches with strategic insights and reports on how to better organize the game, including optimizing field positions and strategy.

  • Machine learning

  • A neural network

  • Deep learning

  • Cognitive computing

  • Computer vision

  • Natural language processing (NLP)

  • Graphical processing units

  • The Internet of Things

  • Advanced algorithms

  • APIs, or application processing interfaces