When a young Eva Kollisch arrives as a refugee in New York in 1940, she finds a community among socialists who share her values and idealism. She soon discovers ‘the cause’ isn’t as idyllic as it seems. Little does she know this is the beginning of a lifelong commitment to activism and her determination to create radical change in ways that include belonging, love and one's full self. In addition to Eva Kollisch’s memoirs Girl in Movement (2000) and The Ground Under My Feet (2014), LBI’s collections include an oral history interview with Eva conducted in 2014 and the papers of Eva’s mother, poet Margarete Kolllisch, which document Eva’s childhood experience on the Kindertransport. Learn more at www.lbi.org/kollisch . Exile is a production of the Leo Baeck Institute , New York | Berlin and Antica Productions . It’s narrated by Mandy Patinkin. Executive Producers include Katrina Onstad, Stuart Coxe, and Bernie Blum. Senior Producer is Debbie Pacheco. Associate Producers are Hailey Choi and Emily Morantz. Research and translation by Isabella Kempf. Sound design and audio mix by Philip Wilson, with help from Cameron McIver. Theme music by Oliver Wickham. Voice acting by Natalia Bushnik. Special thanks to the Kollisch family for the use of Eva’s two memoirs, “Girl in Movement” and “The Ground Under My Feet”, the Sophia Smith Collection at Smith College and their “Voices of Feminism Oral History Project”, and Soundtrack New York.…
Player FM - Internet Radio Done Right
Checked 3M ago
Added four years ago
Content provided by Boris Shalumov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Boris Shalumov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
))
#02 - Intelligence & NLU, the ultimate test for AI - Walid Saba
Manage episode 292705784 series 2927087
Content provided by Boris Shalumov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Boris Shalumov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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 need to touch hundreds of hot ovens before they being able to extrapolate and generalize - our lives would be much less enjoyable. But how can we build in these capabilities alongside common sense knowledge into machines? And why would that help?
10 episodes
ShareManage episode 292705784 series 2927087
Content provided by Boris Shalumov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Boris Shalumov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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 need to touch hundreds of hot ovens before they being able to extrapolate and generalize - our lives would be much less enjoyable. But how can we build in these capabilities alongside common sense knowledge into machines? And why would that help?
10 episodes
All episodes
×
1 #10 - The Future of Data Management - Sean Martin 1:23:23
1:23:23 
Play Later 
Play Later 
Lists 
Like 
Liked1:23:23
Play Later Play Later Lists Like LikedKnowledge 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 intelligent platform with knowledge graph. Many of us can imagine our idealistic future data dream worlds, but how do we get there? How do companies get to the state of looking through space and time and having unprecedented access to the wisdom hidden in Enterprise Data? What does the future IT Tech Stack look like? What decisions do CIOs have to make today to build a basis for long-term success? What completely new possibilities and business models arise? How will the business world change? What is Hype and what is Reality?…
1 #09 - Cognitive Graph Analytics - Jans Aasman 47:44
47:44 Play Later Play Later Lists Like Liked47:44
Play Later Play Later Lists Like LikedCan 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 Immortality? Extrapolating from 40 years of Knowledge Graphs and cognitive models with Dr. Jans Aasman, CEO of Franz Inc.…
1 #08 - Graph Representation Learning - Guiseppe Futia 25:44
25:44 Play Later Play Later Lists Like Liked25:44
Play Later Play Later Lists Like LikedGraph 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 with multi-dimensional and dynamic data models of Semantic Graphs? What information loss does one have to consider when it comes to Machine Learning based on ontologies?…
1 #07 - Knowledge Graphs vs. Fake News - Daniel Schwabe 55:17
55:17 Play Later Play Later Lists Like Liked55:17
Play Later Play Later Lists Like LikedWe 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 search engines, influencing our personal trust chains and constantly directing our perspective on the world. Can Knowledge Graphs help overcoming these problem by detecting Fake News or at least making the information evolution paths transparent? Thought provoking conversation with Daniel Schwabe.…
1 #06 - Knowledge democratization & Abstract Wikipedia - Denny Vrandečić 59:37
59:37 Play Later Play Later Lists Like Liked59:37
Play Later Play Later Lists Like LikedWikipedia, 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 Knoweldge democratization? Inspiring and thought provoking conversation with Denny Vrandečić, Head of Special projects at Wikimedia, former Google Knowledge Graph ontologist and Founder of Croatian Wikipedia.…
1 #05 - Ontologies, Knowledge & Human-Machine Interfaces - Panos Alexopoulos 1:00:15
1:00:15 Play Later Play Later Lists Like Liked1:00:15
Play Later Play Later Lists Like LikedOntologies 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 representation models sufficient for generalisation and reasoning? How many ontology engineers would it take to build an Enterprise-wide Knowledge Graph ? Great conversation with Panos Alexopoulos, Head of Ontology @textkernel and Author of "Semantic Modelling for Data".…
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 collective knowledge. It seems that science has outgrown the human mind and its limited capacities. But what if we could build a Science Knowledge Graph that contains all scientific knowledge and one day will be able to reason, retrieve relevant information, detect scientific gaps and deduce new knowledge? How would such a Knowledge Graph look like and how would we use it? Can we even reach such a deep manifestation of humanity’s collective intelligence? Interview with Prog. Sören Auer, Director & Head of Research at TIB, University of Hannover and pioneer in the semantic web movement.…
1 #03 - Knowledge-infused Learning - Manas Gaur 43:22
43:22 Play Later Play Later Lists Like Liked43:22
Play Later Play Later Lists Like LikedDeep 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 commonsense knowledge encoded in Knowledge Graphs in order to provide capabilities like generalisation, explainability and adaptability of AI systems and thus paves the way towards Artificial General Intelligence. Can commonsense Knowledge Graphs teach Neural Networks to generalise and explain? - Interview with developer of Knowledge-infused Learning Manas Gaur…
1 #02 - Intelligence & NLU, the ultimate test for AI - Walid Saba 1:19:06
1:19:06 Play Later Play Later Lists Like Liked1:19:06
Play Later Play Later Lists Like LikedDespite 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 need to touch hundreds of hot ovens before they being able to extrapolate and generalize - our lives would be much less enjoyable. But how can we build in these capabilities alongside common sense knowledge into machines? And why would that help?…
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 it” - Inspiring talk with Dan McCreary !
Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.
Daily Deals
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
