Chaos Orchestra - The Knowledge Graph Podcast
- Website
- https://www.buzzsprout.com/1767483
- Description
- In just a few years Knowledge Graphs have exploded in usage, as has their impact in the world of Artificial Intelligence. Semantic AI has become a significant part of text analytics, search engines, chat-bots and more. And yet, few people outside of niche tech communities are fully aware of how semantic knowledge graphs can be leveraged.In the Podcast "Chaos Orchestra" we will explore how Knowledge Graphs can be applied over the next decade to boost many areas of Artifical Intelligence and address the most pressing challenges of our times.
- Language
- 🇬🇧 English
- last modified
- 2024-11-27 18:44
- last episode published
- 2021-09-24 20:00
- publication frequency
- 16.77 days
- Contributors
- Boris Shalumov
- Owner Author
- Explicit
- false
- Number of Episodes
- 10
- Rss-Feeds
- Detail page
- Categories
- Technology
Recommendations
Episodes
| Date | Title & Description | Contributors |
|---|---|---|
| 2021-09-24 | Knowledge Graphs revolutionise the way companies make use of their data. The technology has the potential to turn every digitised piece of knowledge in a company into actionable insights. You can exceed even Google’s Search capabilities by creating an ... |
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| 2021-09-02 | Can Knowledge Graphs help to build better Cognitive Models? How will Knowledge Graphs look like in the future and how will we interact with them? Why didn't Knowledge Graphs solve COVID-19-related data problems? How far away are Technocracy and Digital... |
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| 2021-08-05 | Graph Neural Networks are very effective in dealing with complex network data structures to perform label and link predictions. They can process typological and structural information from social networks to protein pathways. But can they also work wit... |
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| 2021-06-17 | We have never been closer to knowledge democratisation and collective intelligence. However, the enabling technology is a blessing and a curse at the same time. Fake News and Filter Bubbles dominate the spread of information in social networks and sear... |
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| 2021-06-03 |
#06 - Knowledge democratization & Abstract Wikipedia - Denny Vrandečić Wikipedia, Google and social networks transformed the way of knoweldge aggregation and spread - but can we make all of humanty's knoweldge machine-readable? Are Knoweldge Graphs enough to achieve that? What technological and social challenges come with... |
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| 2021-05-20 |
#05 - Ontologies, Knowledge & Human-Machine Interfaces - Panos Alexopoulos Ontologies are a way to represent and communicate knowledge, understandable to both - machines and humans. But what level of expressivity is needed to be able to convey human thoughts and human understanding of the world to machines? Are current graph ... |
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| 2021-05-13 | It is nearly impossible for a scientist to process all relevant information to one's field of research. Due to “antique”, document-based knowledge transmission methods, scientists are deriving hypotheses from a smaller and smaller fraction of our colle... |
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| 2021-05-06 | Deep Learning has proven to be the primary technique to address a number of problems. But each application of AI inevitably encounters unexpected scenarios (edge cases) in which the system does not perform as required. Knowledge-infused learning uses c... |
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| 2021-04-28 |
#02 - Intelligence & NLU, the ultimate test for AI - Walid Saba Despite huge investments into Deep Learning we did not get close to making machines understand natural language (NLU). Can semantic approaches make up for weaknesses of Deep Learning like for example abstraction and generalization ? If humans would nee... |
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| 2021-04-26 | Can we build a #google for enterprise data? How can #KnowledgeGraphs & #HybridAI help executives make better business decisions, and accelerate the evolution towards enterprise collective intelligence?“The direction is very clear and you can’t stop... |
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