The Last Cyberneticist

Dr. Christopher A. Tucker

Machine Intelligence Expert in Artificial Reasoning
  • Fourth-generation engineer educated at one of the most prestigious universities in the world. Studied under Professor Kevin Warwick, whose academic lineage reaches back to Immanuel Kant.
  • Highly-experienced software engineer and Cloud architect, where he brings his advanced knowledge to solve the most tractable business problems.
  • Podman, Context-Free Off-Cloud, OpenShift
  • Friendly and approachable: Mentoring and consulting services within a wide variety of commercial settings.
Correlative Systems with asynchronous computers
  • A new paradigm of computer architecture is available to meet the needs of the A.I.-driven future.
  • Arduino, PI, all too much energy consumption. MIPS far too heavy SDK. A computer-nest as an array of 18 x 8 architecturally identical, fully independent nodes operating asynchronously in full-execution logic on-chip. Arithmetic logic units run at 1.5 nanoseconds at 7 picojoules.
AI Systems Architecture and Engineering
  • AI & ML Development: Building and training machine learning models for optimal use-cases.
  • LLM Integration: Development and integration of LLM-powered features via APIs toward both internal tools and customer-facing products.
  • Automation: Strong leveraging of Ideal AI to automate repetitive internal tasks, enhance support, and improve user experience.
  • Deployment: Packaging and deployment of models into production using hard-spun and widely available open-source MLOps tools and cloud infrastructure – Azure, AWS, GCP, and OpenShift.
  • Collaboration: Lectures and demonstrations within team settings and management stakeholders to identify and implement impactful AI opportunities.
  • Documentation & Maintenance: Assurance of reproducibility, versioning, and continuous improvement of implemented AI models and pipelines.
AI Systems languages, strategies, learning, and environments - NLP, LLM, RL, Kohenen maps
  • dotnet, sdk, C#
  • Python, Go, Rust
  • TensorFlow, PyTorch, scikit-learn, OpenCV, YOLO
  • Forth, Elixir
  • Bazel, Kubernetes, Podman, Docker
  • OpenShift, AWS, Azure
  • Machine-learning as pure reason
  • Self-organizing systems, self-writing code, self-optimization, entropy
  • Entire libraries of functions publically available.
  • Also private libraries, available on request.
Embodied robotics
  • Personality development, artificial reasoning, and runtime management.
  • Leverage of the principles of Cybernetics to make better products.
  • More effective human-machine engagement.
  • Improvement of the user-experience.
  • Entire libraries of functions publically available.
  • Also private libraries, available on request.
Smart devices
  • Power and information constraints in low-power contexts.
  • Entire libraries of functions publically available.
  • Also private libraries, available on request.
web3/crypto
  • Smart contracts and tokens.
  • Entire libraries of functions publically available.
  • Also private libraries, available on request.
Artificial Reasoning
  • The "holy grail" of future robotics. Consult with us and find-out about this exciting endeavour.
  • The EU AI Act is changing the way European companies do business. Knowledge of compliance and ways to make AI successful.
Writing and research
  • The wireless-dense energy fields.
  • The Manchester dataflow computer.
  • ISA and Harvard architectures for AI.
  • Theory and practise of AI.
  • The phenomenon of reasoning in natural and artificial systems.
  • The Artificial Life Robotics Show podcast host.