Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Newton's Third Law: Examples01:08

Newton's Third Law: Examples

27.2K
Newton's third law states that every action has an equal and opposite reaction. Consider a swimmer pushing off the side of a pool. They push against the wall of the pool with their feet and accelerate in the direction opposite to that of their push. This occurs because the wall exerts an equal and opposite force on the swimmer. Here, the forces do not cancel out each other as they are acting on different systems. In this case, there are two systems: the swimmer and the wall. If we select...
27.2K
Free Body Diagrams: Examples01:07

Free Body Diagrams: Examples

14.7K
Solving problems that involve forces is easy using free-body diagrams. A free-body diagram is a sketch showing all the external forces that are acting on an object or system. The object or system is represented by a single isolated point (or free body). Only those forces acting on it that originate outside of the object or system—the external forces—are shown. The forces are represented by vectors extending outward from the free body. Imagine a person sitting on a chair. Here, the...
14.7K
Understanding the Self01:28

Understanding the Self

309
The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
309
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581
Understanding Self-Concept01:20

Understanding Self-Concept

296
The self-concept encompasses individuals' beliefs about themselves, structured through cognitive frameworks known as self-schemas. These schemas function as mental representations of specific traits or behaviors, influencing how self-relevant information is perceived, processed, and remembered. For example, individuals who are schematic for body weight are more likely to interpret routine experiences—such as dining out or shopping—through the lens of that trait. Conversely, those...
296
Understanding Deception01:14

Understanding Deception

169
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
169

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MATRIX: Mental heAlth diagnostics Through Real time Intelligent unified X-AI attribution reasoning.

Frontiers in digital health·2026
Same author

HyperCell: Advancing Cell Type Classification with Hyperdimensional Computing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization.

Frontiers in big data·2025
Same author

Evaluating the Role of Data Enrichment Approaches towards Rare Event Analysis in Manufacturing.

Sensors (Basel, Switzerland)·2024
Same author

RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines.

Sensors (Basel, Switzerland)·2024
Same author

Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study.

JMIRx med·2024
Same journal

Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph.

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology·2011
See all related articles

Related Experiment Video

Updated: Feb 8, 2026

Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test
06:52

Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test

Published on: February 6, 2021

4.4K

Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples.

Amit Sheth1, Sujan Perera1, Sanjaya Wijeratne1

  • 1Kno.e.sis Center, Wright State University, Dayton, Ohio, USA.

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
|July 3, 2018
PubMed
Summary
This summary is machine-generated.

Knowledge enhances machine learning (ML) and natural language processing (NLP) when data is scarce or complex. Creating and applying knowledge drives progress in understanding multimodal data.

Keywords:
Emoji Sense DisambiguationImplicit Entity RecognitionKnowledge representation and reasoningKnowledge-driven Deep Content UnderstandingKnowledge-enhanced Machine LearningKnowledge-enhanced NLPMachine IntelligenceMachine learning approachesMultimodal ExploitationPersonalized Digital HealthSemantic-Cognitive-Perceptual ComputingUnderstanding Complex Text•Computing methodologies →Natural language processing

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
15:04

A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity

Published on: May 5, 2009

25.8K

Related Experiment Videos

Last Updated: Feb 8, 2026

Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test
06:52

Laboratory Scale Slow Cook-Off Testing of Rocket Propellants: The Combustion Rate Analysis of a Slowly Heated Propellant CRASH-P Test

Published on: February 6, 2021

4.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
15:04

A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity

Published on: May 5, 2009

25.8K

Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing

Background:

  • Machine Learning (ML) excels with large datasets, but knowledge integration is increasingly recognized as crucial.
  • Challenges arise in ML when training data is limited, content is complex, or multimodal data is involved.

Purpose of the Study:

  • To highlight the indispensable role of knowledge in advancing ML and NLP.
  • To discuss the creation and strategic exploitation of knowledge for improved AI.
  • To forecast progress in understanding and utilizing multimodal data through knowledge-enhanced learning.

Main Methods:

  • Discussing the indispensable role of knowledge for deeper content understanding.
  • Leveraging knowledge creation and strategic exploitation to enhance ML/NLP techniques.
  • Illustrating concepts with diverse examples.

Main Results:

  • Demonstrating the necessity of knowledge for complex and data-scarce ML tasks.
  • Showing how knowledge creation and application accelerate AI progress.
  • Forecasting significant advancements in multimodal data understanding.

Conclusions:

  • Knowledge is essential for overcoming limitations in data-driven ML.
  • The synergy of knowledge and ML/NLP techniques unlocks deeper content understanding.
  • Future AI progress hinges on the continued incorporation of knowledge into learning paradigms.