lesson 5 trends

• Collaboration


  A 21st century trend where the need in society to think and work together on issues of critical concern has increased, shifting the emphasis from individual efforts to group work, from independence to community
• 7 Reasons Why Collaboration is Important

  • It helps us problem-solve
  • Brings people (and organizations) closer together
  • Helps people learn from each other
  • Opens up new channels for communication
  • Boosts morale across your organization
  • Leads to higher retention rates
  • Makes us more efficient workers
• Connection


  Two or more devices connected through links, where a link is a communication's pathway that transfers data from one device to another
• Network


  Two or more devices connected through links, where a link is a communication's pathway that transfers data from one device to another
• Characteristics of networks


  • Enables flow of information, flow of resources and flow of exchange among others
• Neural network


  Groups of neurons that work together to carry out a process because individual neurons cannot carry enough information to do one process at a time
• Examples of neural network processes

  • Determination of the taste of food
  • Determination of the color of an object
• Complex network of neurons are required in neural network processes
• Neural networks are where the most complex neural processing is carried out through the "computing" work of the brain
• Sometimes, these neural networks involve a relatively small number of neurons in a single area
• Researchers have found neural networks to be inaccessible and complex, so some are creating artificial neural networks on computers
• Artificial neural network


  A special type of machine learning algorithm modelled after the human brain, composed of connection, activation, propagation function and network input, output function and learning strategy
• Input units of artificial neural networks


  • Receive various forms and structures of information based on an internal weighting system, and the neural network attempts to learn about the information presented to produce one output report
• Hidden layers of artificial neural networks

  • Perform various types of mathematical computation