Machine perception

Machine perception is the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate to the world around them.[1][2][3] The basic method that the computers take in and respond to their environment is through the attached hardware. Until recently input was limited to a keyboard, or a mouse, but advances in technology, both in hardware and software, have allowed computers to take in sensory input in a way similar to humans.[1][2]

Machine perception allows the computer to use this sensory input, as well as conventional computational means of gathering information, to gather information with greater accuracy and to present it in a way that is more comfortable for the user.[1] These include computer vision, machine hearing, machine touch, and machine smelling, as artificial scents are, at a chemical compound, molecular, atomic level, indiscernible and identical.[4][5]

The end goal of machine perception is to give machines the ability to see, feel and perceive the world as humans do and therefore for them to be able to explain in a human way why they are making their decisions, to warn us when it is failing and more importantly, the reason why it is failing.[6] This purpose is very similar to the proposed purposes for artificial intelligence generally, except that machine perception would only grant machines limited sentience, rather than bestow upon machines full consciousness, self-awareness, and intentionality.

  1. ^ a b c Cite error: The named reference Tatum was invoked but never defined (see the help page).
  2. ^ a b Cite error: The named reference Serov was invoked but never defined (see the help page).
  3. ^ "Machine Perception & Cognitive Robotics Laboratory". www.ccs.fau.edu. Retrieved 2016-06-18.
  4. ^ Cotton2009-03-01T00:00:00+00:00, Simon. "If it smells - it's chemistry". RSC Education. Retrieved 2022-05-03.{{cite web}}: CS1 maint: numeric names: authors list (link)
  5. ^ "Artificial networks learn to smell like the brain". MIT News | Massachusetts Institute of Technology. Retrieved 2022-05-03.
  6. ^ "Machine Perception Research - ECE - Virginia Tech". www.ECE.VT.edu. Archived from the original on March 7, 2021. Retrieved January 10, 2018.