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

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.2K
Neural Circuits01:25

Neural Circuits

2.4K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.4K
Neural Regulation01:37

Neural Regulation

42.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
42.6K
Neural Control of Respiration01:18

Neural Control of Respiration

4.1K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.1K
Neuronal Communication01:28

Neuronal Communication

2.6K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Synthesis and in vitro studies of PLGA-DTX nanoconjugate as potential drug delivery vehicle for oral cancer.

International journal of nanomedicine·2018
Same author

Dysplastic vs. Common Naevus-associated vs. De novo Melanomas: An Observational Retrospective Study of 1,021 Patients.

Acta dermato-venereologica·2018
Same author

Leukocyte telomere length throughout the continuum of colorectal carcinogenesis.

Oncotarget·2018
Same author

Synthesis of novel 4-functionalized 1,5-diaryl-1,2,3-triazoles containing benzenesulfonamide moiety as carbonic anhydrase I, II, IV and IX inhibitors.

European journal of medicinal chemistry·2018
Same author

Rapid loss of group 1 innate lymphoid cells during blood stage <i>Plasmodium</i> infection.

Clinical & translational immunology·2018
Same author

Comparison of the effect of daily versus bolus dose maternal vitamin D<sub>3</sub> supplementation on the 24,25-dihydroxyvitamin D<sub>3</sub> to 25-hydroxyvitamin D<sub>3</sub> ratio.

Bone·2018

Related Experiment Video

Updated: Dec 11, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.0K

An intelligent Chatbot using deep learning with Bidirectional RNN and attention model.

Manyu Dhyani1, Rajiv Kumar1

  • 1G. L. Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India.

Materials Today. Proceedings
|August 25, 2020
PubMed
Summary

This study models a chatbot using Bidirectional Recurrent Neural Networks for improved conversational AI. The research focuses on enhancing model performance and translation quality for better chatbot interactions.

Keywords:
Bidirectional RNN and Attention modelChatbotDeep learningNeural Machine TranslationTensorflow

More Related Videos

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.7K

Related Experiment Videos

Last Updated: Dec 11, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.0K
Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.7K

Area of Science:

  • Natural Language Processing
  • Deep Learning
  • Artificial Intelligence

Background:

  • Chatbots require sophisticated models for effective conversation.
  • Preprocessing knowledge for deep learning models is challenging.
  • Handling long sentences in conversations necessitates advanced architectures.

Purpose of the Study:

  • To model and evaluate a chatbot's performance using deep learning.
  • To implement a Neural Machine Translation (NMT) model with attention mechanisms.
  • To enhance model perplexity, learning rate, and translation quality (BLEU score).

Main Methods:

  • Utilized Tensorflow and Python 3.6 for model development.
  • Employed Bidirectional Recurrent Neural Networks (BRNN) with attention layers.
  • Trained the model on a Reddit dataset for English-to-English translation.

Main Results:

  • Achieved a perplexity of 56.10 and a learning rate of 0.0001.
  • Obtained a BLEU score of 30.16 for same-language translation.
  • Evaluated performance on a MacBook Air, noting an average time of 4.5 per 1000 steps.

Conclusions:

  • The BRNN model with attention effectively handles longer sentences for improved chatbot responses.
  • The study demonstrates the feasibility of deep learning models for conversational AI on standard hardware.
  • Optimized parameters show promising results for chatbot performance and translation accuracy.