Since the Dartmouth workshop in 1956, which is often seen as the funding event for Artificial Intelligence as a field, 66 years have passed. How will AI evolve in the next 66 years? This is what I cover in my new blog post: https://t.co/AjlsG9I5JI #ArtificialIntelligence#humans
The 21st International Semantic Web Conference is over 🥺 But the presentation videos are still online! 😃
https://t.co/mR4r8BTTHF
The talks of our group members are also available on YouTube:
https://t.co/JAU3QC53wk
#iswc2022#iswc_conf#semanticWeb@iswc_conf (thread ...)
I'm happy to share that TU Dresden has appointed me to an honorary professorship position. This will allow me to perform some research and teaching activities in my spare time next to the main work at Amazon. More information is in the press release here: https://t.co/N9ziV1gbCM
We are looking for talented scientists to work at Amazon Alexa AI in Dresden/Germany! If you are interested in machine learning, knowledge graphs, NLP & language models, please consider to apply at https://t.co/fxLjBWT9tI (researchers at different experience levels can apply).
Happy to announce that our paper "Hashing the Hypertrie: Space- and Time-Efficient Indexing for SPARQL in Tensors" was accepted at @iswc_conf
22. Thx to the co-authors Charlotte Behning, @LixiCorrados, @saleem_muhamad, @NgongaAxel#iswc2022#iswc_conf (T-*=#tentris=our system)
The attack of Russia against Ukraine is a threat to world peace & stability. The war leads to a humanitarian crisis in several parts of Ukraine. Please consider a donation to those suffering most.
https://t.co/sIPzlLJvzT
https://t.co/QYzVJS2ghg
#StandWithUkraine#Ukraine#Donate
We are looking for top talents for our new project OpenGPT-X in which we aim to improve large neural language models and their usability for dialogue systems & question answering. Very large supercomputing facilities are available. You can apply here: https://t.co/3xcGEv1Opo
Recently, I got many questions about the role of neural language models in #AI (due to our new OpenGPT-X project) and decided to write a blog post on the topic: https://t.co/fmQOpTzbM5 #languagemodels#gpt3#ArtificialIntelligence#OpenGPTX
Ante-Hoc Explainable #machinelearning on #KnowledeGraphs. We combine reinforcement learning with a novel refinement operator to accelerate #XAI. Check it out at https://t.co/nlJuLwUdUU @DiceResearch
Two exciting fully funded PhD positions on explainable AI and multi-view learning @DiceResearch. Check out details here: https://t.co/jlYuqcUIXg and let me know if you have any questions #AI#KnowledgeGraphs#ML#OpenScience
In https://t.co/JoXy4KNrQ1, we (1) show that common benchmarks for knowledge graph embeddings and link prediction contain out-of-vocabulary entities and (2) provide improved datasets free of this limitation. Enjoy! #AI#KnowledgeGraph#MachineLearning@DiceResearch
Looks like complex spaces enjoy a convolution to achieve better embeddings. Our approach ConEx achieves nice results on benchmarks with a comparatively small number of parameters. More at https://t.co/xDLPy5hr8w @_CaglarDemir#OpenScience#KnowledgeGraph#machinelearning
Another pleasant news: Our paper on the verbalization of link specifications for the integration of #KnowledgeGraphs is now available at https://t.co/gpsBhaeOvo. Code: https://t.co/bIhTW0FZJS. This is a #OpenSource contribution to explainable #AI. More coming up. Enjoy.