AI Architecture & Engineering Excellence,
Hybrid AI on Hybrid Cloud

Neuro-Symbolic Visual Question Answering on a Robot
Neuro-Symbolic Visual Question Answering on a Robot

While I still have to wait with writing about my core work on Machine Common Sense, here is a small visual question answering (VQA) demo I did on the side. Let me first show you the core VQA functionality: And now let me show that we can additionally point at objects: This demo follows “Neural-Symbolic […]

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Side Track: AI Painter – Painting as a Metaphor to Interact with AI Systems
Side Track: AI Painter – Painting as a Metaphor to Interact with AI Systems

Here is a quick personal side experiment I have implemented a while ago to play with an idea I had to leverage a painting application for interacting with an AI system. It was also a good excuse to play with PySide6 a little. Please note that the AI itself here is not impressive at all […]

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IBM Sapphire – Dialog System Combining DL, DRL, NLP, Signal Processing and More
IBM Sapphire – Dialog System Combining DL, DRL, NLP, Signal Processing and More

I was the lead developer of IBM Sapphire to which I was invited by IBM’s Speech-CTO and Fellow David Nahamoo. Here is a screenshot of the main system: We built a dialog system for advising and the underlying data collection pipeline. Since this was done on actual advising session great care had to be taken […]

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Rearview Mirror: PalmQA, a Question-Answering Ensemble for e-Learning and Research
Rearview Mirror: PalmQA, a Question-Answering Ensemble for e-Learning and Research

My first bigger AI system developed under the supervision of Mohamed Amine Chatti & Ulrik Schroeder. “The scientific mind does not so much provide the right answersas ask the right questions.” Claude Lévi-Strauss 1  Introduction From Emanuel Goldberg’s Statistical Machine and Vannevar Bush’s Memex over collaboration systems like Ted Nelson’s Project Xanadu, Douglas Engelbart’s oN-Line […]

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Reinforcement Learning Frameworks – An Overview
Reinforcement Learning Frameworks – An Overview

Falk Pollok, MIT-IBM Watson AI Lab Cambridge, USA Abstract Reinforcement Learning (RL) has seen renewed interest sparked by the successful combination of RL with neural models as well as Monte-Carlo Tree Search (MCTS). At first, this development was largely restricted to playing traditional games and video games, but successively one can observe more widespread usage in industry as well from robotics […]

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There are primarily three types of articles:

AI ArchitectureEngineering ExcellenceSide Track
AI Architecture including Hybrid AI on Hybrid Cloud as well as Neuro-Symbolic AI Systems Integration is my main specialization.Engineering Excellence covers any topics that correspond to reaching the pinnacle in general software engineering.Side format to capture side experiments, side notes (EXSUM) and memories of good old times (Rearview Mirror).

Upcoming Articles

  • AI Systems Integration & AI Architecture Overview
  • Neuro-Symbolic Integration
  • Machine Common Sense
  • IBM Verdi and Watson Orchestrate – A Multi-Agent System for Business Process Optimization and Automation
  • Deep Learning Training in the Enterprise Cloud: The Fabric for Deep Learning and its Ecosystem (Adversarial Robustness, Explainability, Fairness)