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Related Concept Videos

Transformers01:26

Transformers

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Types Of Transformers01:16

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Transformers can provide desired voltages to a circuit by modifying the number of turns in the secondary windings.
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Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
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Related Experiment Video

Updated: Apr 3, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
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Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

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A Bi-lingual chatbot implementation for pandemic response using the transformer-based approach.

Mugume Twinamatsiko Atwine1, Daudi Jjingo1,2,3, Mike Nsubuga1,2,4,5

  • 1African Centers of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.

PLOS Digital Health
|April 1, 2026
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Summary

A new bilingual chatbot provides 24/7 access to accurate COVID-19 pandemic information in English and Luganda. This AI tool combats misinformation and improves public health communication during global health crises.

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Area of Science:

  • Public Health
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • The COVID-19 pandemic underscored the need for reliable information dissemination.
  • Misinformation on public platforms complicated pandemic management, requiring significant human resources.
  • A scalable solution was needed to provide trustworthy, real-time health information.

Purpose of the Study:

  • To develop an intelligent, bilingual chatbot for pandemic information.
  • To provide 24/7 access to medically curated information in English and Luganda.
  • To leverage AI to combat health misinformation and improve public health communication.

Main Methods:

  • Developed a deep learning-based chatbot trained on a corpus of pandemic information.
  • Utilized Natural Language Processing (NLP) frameworks for bilingual capabilities.
  • Implemented a conversation-driven development approach for continuous improvement.

Main Results:

  • Successfully implemented a chatbot providing accurate pandemic information in English and Luganda.
  • Demonstrated the chatbot's ability to leverage English NLP for Luganda language interaction.
  • Showcased the chatbot as an effective tool for real-time information dissemination.

Conclusions:

  • The developed chatbot is an effective and flexible tool for managing pandemic information.
  • AI-powered chatbots can significantly enhance public health communication during crises.
  • Continuous improvement through user interaction ensures the chatbot's ongoing relevance and accuracy.