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Semantic Intelligence by Sarika Jain
India
เข้าร่วมเมื่อ 11 ต.ค. 2020
The Hybrid of Syntactic and Semantic Approaches to Artificial Intelligence will pave way to Intelligent Applications.
Semantic Intelligence refers to filling the semantic gap between the understanding of humans and machines by making a machine look at everything in terms of object oriented concepts as a human look at it.
Semantic Intelligence refers to filling the semantic gap between the understanding of humans and machines by making a machine look at everything in terms of object oriented concepts as a human look at it.
วีดีโอ
Tutorial 3 Dr. Sharanjit Kaur, Ms Kirti Jain, Dr. Vasudha Bhatnagar
มุมมอง 442 ปีที่แล้ว
Modeling Epidemic dynamics thru contact networks
Tutorial 2 Manas Gaur, Kaushik Roy
มุมมอง 732 ปีที่แล้ว
Knowledge Infused Reinforcement Learning for Social Good Applications
Tutorial 1 Sarika Jain Module 1
มุมมอง 442 ปีที่แล้ว
Building Domain-Specific Linked Data Applications
Leveraging Artificial Intelligence and Machine Learning in Pandemics using COVID-19 (Sven Groppe)
มุมมอง 202 ปีที่แล้ว
The COVID-19 pandemic slows down or even often stopped the world’s activities in economy, education, society and other areas of our daily life, but was a huge trigger for research. Smart and hardworking scientists all over the world are still extending the knowledge about the COVID-19 virus and are contributing to various technologies to fight against the COVID-19 pandemic. Continuously newly o...
Applying Knowledge Graphs for Data Analytics and Machine Learning (Ernesto Jiménez-Ruiz)
มุมมอง 1262 ปีที่แล้ว
The application of knowledge graphs (KG) is going beyond the original vision of the Semantic Web and KGs are starting to play a key role to organize the enterprise, GLAM, and governmental data, and they are already the backbone in several biomedical applications. Enterprises are also leveraging knowledge graphs to drive their products and make them more “intelligent”. The next steps in AI invol...
AI Ethics as a Mechanism for Enabling Human -Machine Teaming (Amanda Muller)
มุมมอง 162 ปีที่แล้ว
Human-machine teaming is a critical consideration for ensuring the successful implementation of semantic technologies. Without consideration for the human element of an Artificial Intelligence or Machine Learning-enabled system, performance will suffer, or worse-the system simply will not be used. AI ethical frameworks can be leveraged as an enabler of human-machine teaming by certifying that s...
Semantic Intelligence: The Next Step in AI (Sarika Jain)
มุมมอง 1442 ปีที่แล้ว
Intelligent agents work autonomously by seeking necessary information, coordinating with each other, and taking necessary actions to make life simple for human beings. There are three information aspects for an intelligent agent: syntax (sentence construction, grammatical correctness), semantics (human-level interaction), and pragmatics (intention behind the communication. An intelligent agent ...
Detect, Characterize, and Accommodate Novelties in AI systems (Bharat Bhargava)
มุมมอง 472 ปีที่แล้ว
Novelties are surprises that an AI system encounters. It is easier for a human to detect novelties and adjust. An automated and autonomous system must learn about the characteristics and detect, understand, and adapt to novelty in not only the environment but in agents that interact with it. For example, in a game such as monopoly or chess, the rules of the game can be suddenly changed or playe...
Knowledge Base Question Answering by Saswati Dana
มุมมอง 1033 ปีที่แล้ว
Knowledge Base Question Answering by Saswati Dana
Opportunities Social Network Analysis by Tanmoy Chakraborty
มุมมอง 493 ปีที่แล้ว
Opportunities Social Network Analysis by Tanmoy Chakraborty
Ensuring Fairness in Explainable Systems by Abhijnan Chakraborty
มุมมอง 293 ปีที่แล้ว
Ensuring Fairness in Explainable Systems by Abhijnan Chakraborty
KG's in Explainable AI Defining the Scope by Arindam Chatterjee
มุมมอง 413 ปีที่แล้ว
KG's in Explainable AI Defining the Scope by Arindam Chatterjee
Semantic Explainability The Role of Semantics in Explainable AI V Raghava Mutharaju
มุมมอง 1863 ปีที่แล้ว
Semantic Explainability The Role of Semantics in Explainable AI V Raghava Mutharaju
Knowledge Extraction and Enrichment by Nidhi Goyal
มุมมอง 583 ปีที่แล้ว
Knowledge Extraction and Enrichment by Nidhi Goyal
Ontology learning and Benchmarking by Monika Jain
มุมมอง 403 ปีที่แล้ว
Ontology learning and Benchmarking by Monika Jain
Discover the ontologies and vocabularies using MOD ontology by Biswanath Dutta
มุมมอง 313 ปีที่แล้ว
Discover the ontologies and vocabularies using MOD ontology by Biswanath Dutta
Application of Ontologies to Materials Domain by Gandham Phanikumar
มุมมอง 643 ปีที่แล้ว
Application of Ontologies to Materials Domain by Gandham Phanikumar
Designing knowledge graph from scratch using neo4j by Anuj Saxena
มุมมอง 3283 ปีที่แล้ว
Designing knowledge graph from scratch using neo4j by Anuj Saxena
An Overview of Trustworthy AI by C Anantaram
มุมมอง 323 ปีที่แล้ว
An Overview of Trustworthy AI by C Anantaram
Hands On SPARQL: Querying Knowledge Graphs using SPARQL V Raghava Mutharaju
มุมมอง 963 ปีที่แล้ว
Hands On SPARQL: Querying Knowledge Graphs using SPARQL V Raghava Mutharaju
Hands-on Exercises on Visual Semantics by Hiranmay Gosh
มุมมอง 423 ปีที่แล้ว
Hands-on Exercises on Visual Semantics by Hiranmay Gosh
Perspectives of Visual Semantics by Hiranmay Ghosh
มุมมอง 183 ปีที่แล้ว
Perspectives of Visual Semantics by Hiranmay Ghosh
very nice info
Honest and Insightful discussion💯
Great thank you❤
please share me link of slide and code.
Fantastic, do you recommend neo4j or networkx for creating knowledge graphs ?
The reason he turned off the video is so that he could look at the slide scripts that he prepared for the talk ;-)
Very very nice explanation.
Thank you for your great and clear explanation of the knowledge graph. I can understand the basic understanding in KG. Could you provide the wikipedia_sentence_v2.csv file? So I can follow your tutorial. Thank you so much
Please share where are the slides? Thanks.
Here it is drive.google.com/drive/folders/1MKgjT-Kq8CxuBw75SKY3cCxRY1pHg3cj?usp=sharing
can we get all provided link in this season, collab ,GitHub , and slide
Here it is drive.google.com/drive/folders/1MKgjT-Kq8CxuBw75SKY3cCxRY1pHg3cj?usp=sharing
begins at 10:30
0:53 erotic-virtual-chat.online