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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
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A Future with Ubiquitous Sensing and Intelligent Systems.

Fernando V Paulovich1,2, Maria Cristina F De Oliveira2, Osvaldo N Oliveira3

  • 1Faculty of Computer Science , Dalhousie University , Goldberg Computer Science Building, 6050 University Avenue , B3H 4R2 , Halifax , NS , Canada.

ACS Sensors
|July 14, 2018
PubMed
Summary
This summary is machine-generated.

Sensing and biosensing are crucial for the science and technology revolution, driven by machine learning and Big Data. Future intelligent systems will depend on widespread sensing, despite existing challenges.

Keywords:
Big DataInternet of Thingsintelligent systemsmachine learningnanotechnologyubiquitous sensing

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Area of Science:

  • Interdisciplinary science and technology
  • Artificial intelligence
  • Data science

Background:

  • The convergence of machine learning (ML) and Big Data analytics is transforming science and technology.
  • Affordable and accessible technologies are enabling widespread adoption of advanced computational methods.
  • Ubiquitous sensing is emerging as a foundational element for future innovations.

Purpose of the Study:

  • To highlight the critical role of sensing and biosensing in the current technological revolution.
  • To explore future scenarios and applications of intelligent systems enabled by pervasive sensing.
  • To identify technological and societal challenges hindering the full realization of intelligent systems.

Main Methods:

  • Review and synthesis of current trends in sensing, biosensing, machine learning, and Big Data.
  • Foresight analysis to describe potential future scenarios and applications.
  • Discussion of challenges and considerations for developing intelligent systems.

Main Results:

  • Sensing and biosensing are pivotal enablers of the ongoing science and technology revolution.
  • Ubiquitous sensing will underpin numerous intelligent systems across diverse fields in the coming decades.
  • Significant technological and societal hurdles must be overcome to harness the full potential of these advancements.

Conclusions:

  • The integration of sensing, ML, and Big Data presents unprecedented opportunities for innovation.
  • Realizing the potential of intelligent, sensing-driven systems requires addressing complex challenges.
  • Proactive consideration of technological and societal factors is essential for future development.