Dr. Ulli Waltinger
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Applied Artificial Intelligence & Machine Learning Research
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Hackathon: Artificial Intelligence for Sustainability Hackathon, Munich, Germany, 24th June 2020

Hackathon: Artificial Intelligence for Sustainability Hackathon, Munich, Germany, 24th June 2020

1. Juni 2020 · by Ulli Waltinger · in Conference, Project, Talk

#IndustrialAI makes a difference for #business and to pursuit of a #sustainable future. Super stoked that great #partners from the #AI #ecosystem joined forces with the Siemens #AILab to tackle AI-driven #sustainability #challenges that will shape our #future! Geeks join…

Co-Chair: Human Centered AI: Trustworthiness of AI Models and Data, AAAI 2019 Fall Symposium Series in Arlington, VA, USA, November 7–9, 2019

Co-Chair: Human Centered AI: Trustworthiness of AI Models and Data, AAAI 2019 Fall Symposium Series in Arlington, VA, USA, November 7–9, 2019

7. November 2019 · by Ulli Waltinger · in Allgemein, Conference, Project

Join and discuss with us #HumanCenteredAI at the #AAAI 2019 #FallSymposiumSeries in Arlington, VA, #USA, November 7–9, 2019 – agenda is set and registration is now open: https://bit.ly/2nveduf #HumanCentered #AI: #Trustworthiness of AI #Models and #Data To facilitate the widespread…

Talk: AI Meets Society: responsibly designing smart systems & infrastructures, 19th September 2019, Zug, Swiss

Talk: AI Meets Society: responsibly designing smart systems & infrastructures, 19th September 2019, Zug, Swiss

19. September 2019 · by Ulli Waltinger · in Allgemein, MeetUp, Project, Talk

Trust is not necessarily about Transparency, but about Interaction. In current times: Industrialization was/is all about gaining more efficiency and productivity; Digital platforms target attention spans and the predictive behaviour, trying to maximize engagement for profits – sure that shall…

Talk & Panel: Responsible AI: Trust, Fairness, and Transparency in Machine Learning at the appliedAI Ecosystem Meetup in Munich, 14. January 2019

Talk & Panel: Responsible AI: Trust, Fairness, and Transparency in Machine Learning at the appliedAI Ecosystem Meetup in Munich, 14. January 2019

14. Januar 2019 · by Ulli Waltinger · in About, Allgemein, Conference, MeetUp, Project

Around 150 attendees participated in the appliedAI Ecosystem Meetup on Artificial Intelligence in Munich and Partners. Challenging talk on #ResponsibleAI: Trust, Fairness, and Transparency in Machine Learning – and interesting panel with Leon Szeli and Fabian Mader. AI and ML…

MOOC: Industrial Artificial Intelligence at Siemens - from the impact of Deep Learning, the creation of Conversational AI, to AI-centric API ecosystem

MOOC: Industrial Artificial Intelligence at Siemens – from the impact of Deep Learning, the creation of Conversational AI, to AI-centric API ecosystem

16. November 2017 · by Ulli Waltinger · in Allgemein, Project, Research, Talk

Awesome – finishing the MOOC on Artificial Intelligence at Siemens – from the impact of Deep Learning, the creation of Conversational AIs, to the acceleration via an AI-centric API ecosystem. Proud to push the Siemens AI Lab further – accelerating…

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification

End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification

30. April 2017 · by Ulli Waltinger · in Project, Publications

Abstract: We address fine-grained entity classification and propose a novel attention-based recurrent neural network (RNN) encoderdecoder that generates paths in the type hierarchy and can be trained end-to-end. We show that our model performs better on fine-grained entity classification than…

AI & Machine Learning Research with Meaningful Impact

AI & Machine Learning Research with Meaningful Impact

10. August 2016 · by Ulli Waltinger · in Allgemein

I am curious about the foundations of computational intelligence, specifically methodologies that bridge the areas of connectionist and symbolic learning applied to real-world AI, Machine Learning and NLP applications. I am passioned about enabling an open and interdisciplinary research and…

Natural Language Access to Enterprise Data

Natural Language Access to Enterprise Data

22. April 2014 · by Ulli Waltinger · in Project, Publications

Abstract:This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom…

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

USI Answers: Natural Language Question Answering Over (Semi-) Structured Industry Data

14. Juli 2013 · by Ulli Waltinger · in Project, Publications

Abstract: The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not familiar with the specific syntax or semantics of the underlying data…

Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis

Market Intelligence: Linked Data-driven Entity Resolution for Customer and Competitor Analysis

7. Juli 2013 · by Ulli Waltinger · in Project, Publications

Abstract: In this paper, we present a linked data-driven method for named entity recognition and disambiguation which is applied within an industry customer and competitor analysis application. The proposed algorithm primarily targets the domain of geoparsing and geocoding, but it…

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Twitter: ulliwaltinger

Ulli Waltinger
  • RT @Riseof_AI: Have you heard about Industrial applied AI? No?😳 This topic is so important, you must join our #VirtualChat tomorrow. Fabi… about 14 hours ago from Twitter for iPhone ReplyRetweetFavorite
  • 🤣 if you are alone > watch your thoughts if you are in a group > watch your tongue https://t.co/aAzdJ6qEtk 12:36:04 PM August 25, 2020 from Twitter for iPhone ReplyRetweetFavorite
  • RT @GoogleAI: To address the challenges unique to offline #ReinforcementLearning, we are releasing an open-source benchmark, D4RL, as well… 09:31:41 AM August 21, 2020 from Twitter for iPhone ReplyRetweetFavorite
  • RT @mat_kelcey: i have very mixed feelings about results like this... 09:28:17 AM August 21, 2020 from Twitter for iPhone ReplyRetweetFavorite
  • RT @BrentToderian: “Someone with a 1-hr car commute needs to earn 40% more to be as happy as someone with a short walk to work. On the othe… 06:09:11 PM August 19, 2020 from Twitter for iPhone ReplyRetweetFavorite
  • 🤖 #Bots & #ProcessAutomation are one of the biggest #AI value driver 🔊 Tune @Siemens #AILab podcast 🎧: "Human&AI: M… https://t.co/acV1d9lPkn 10:24:11 AM August 14, 2020 from Twitter Web App ReplyRetweetFavorite
  • RT @GoogleAI: Count your reps in real-time with #MediaPipe BlazePose 🕺. By using additional key points for hands and feet, BlazePose is uni… 12:01:15 AM August 14, 2020 from Twitter for iPhone ReplyRetweetFavorite
@ulliwaltinger

About

Ulli Waltinger is the Head of the Research Group Machine Intelligence and Technology Head of the Siemens Artificial Intelligence Lab at Siemens Corporate Technology (Siemens AI Lab), Siemens’ global research organization. Prior he worked at the Artificial Intelligence Group and the Center of Excellence of Cognitive Interaction Technology at the University of Bielefeld. He is curious about the foundations of computational intelligence, specifically methodologies that bridge the areas of connectionist and symbolic learning applied to real-world AI and NLP applications. He is passioned about enabling an open and interdisciplinary research and innovation culture with meaningful impact to people`s life. Ulli contributes with >40 publications and >100 talks to the fields of computer science, artificial intelligence, computational linguistics, and cognitive science.

Tags

AI Artificial Intelligence Deep Learning Digital Libraries Industrial AI Information Retrieval Knowledge Graph Künstliche Intelligenz Machine Intelligence Machine Learning Natural Language Processing Question Answering ResponsibleAI Responsible AI Siemens AI SiemensAI Siemens AI Lab Siemens Artificial Intelligence Social Semantics statistical modeling Sustainability Symbolic Learning

Neueste Beiträge

  • Podcast: HUMAN & AI – Mind, machines and the gradient descent, Siemens AI Lab Podcast 23. Juni 2020
  • Hackathon: Artificial Intelligence for Sustainability Hackathon, Munich, Germany, 24th June 2020 1. Juni 2020
  • Podcast: Talking Digital Industries: AI in industry – Chance or Risk, 14th May 2020 14. Mai 2020
  • Podcast: Building Trust in Artificial Intelligence; Event: Siemens Infrastructure – Buildings of Tomorrow, Zug, Swiss, 8th of April 2020 8. April 2020
  • Mentor: WirVsVirus Hackathon, OnlineFestival, 22th March 2020 22. März 2020

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