Integrating Symbolic AI Programming and Neuromorphic Modeling with NVIDIA Jetson and GPU-based Deep Neural Network Systems for Edge Research Laboratories
AI Lab Notes
- Adding symbolic AI programming to Jetson deep neural network development systems
- Making symbolic AI programming (and other things) 'go-faster' on Jetsons with GraalVM and grCUDA
- Bringing up the AI Lab symbolic software suite on Jetson AGX Orin: To Graal and beyond
- Research Reviews -- Neuro-Symbolic Artificial Intelligence: The State of the Art, IOS Press, 2021. Compendium of Neurosymbolic AI, IOS Press, 2023.
- Gedankenexperiment 1: Ontologies for semantic linking with deep neural network identifications of neuroanatomical structures in brain magnetic resonance images
- Integrating MONAI imaging: Adding a new OSS build chain for neurosymbolic fusion
- Beyond artificial 'neural networks': Adding neuromorphic computing capabilities
- Biological neurons as networked analog computers: Thinking analog for new realtime hybrid neuromorphic processing models
- Controlling dynamic neuronal modeling hardware: Gearing up for Arduino microcontrollers and all THAT analog modeling - Autumn-Winter 2023 updates
- 2022 Holidays break reading and homework - - Analog and hybrid computing, controllers, and the Grand Central Express to Jupyter (NeuroSim Notebooks)
- Sorting the IDEs of MCUs, from AVRs to ARMs
- Cellular automata, Turing machines, and the Game of Life with Jetson CLIPS
- ARM Cortex M0+ analog spiking neocortical microcircuit modeling with M4F hybrid controller and AGX Orin DK simulation programming
- Functional characteristics of local modules in microcontroller-based neocortical microcircuit models: Cellular neural networks theory revisited
- Hybrid Controller - Analog synaptic programming interface design
- Integrating Circuit Python microcontrollers with the Jetson AGX Orin lab computing development environment - Mu Editor update and CPX pulse rate data acquisition
- 2024 Compendium of references and compatible open source software links for the Jetson AGX Orin
- Edge lab tools for teaching AI/CV basics, physical computing, and robotics in high school - Building workstations with easy real-time access to Jetson-Inference DNN binaries for teachers and students
- Jetson RBTX: Intelligent lab microcontrollers and robotic data systems development
- Expanding Jetson DAQ: Beyond CV with extra sensory data streams
- Cognitive modeling with ACT-R - Python resources for neurosymbolics on Jetson
- MatLab revisited: From DNN building to DynaSym and Octave, neuromorphic modeling, analog data acquisition, and signal processing
- Jetson Generative AI Lab container debut on AGX Orin 64: Stable Diffusion, LLaVA, LLaMa2
- Chats with Doctor Anatomy - Core anatomical knowledge in an open source large language model
- Reevaluating Python-based DNN and neuromorphic simulations with Nengo
- Application Note: Analog/Hybrid Physical Computing Approaches to Neuromorphic Cortical Microcircuit Modeling
- Edge Computer Visions 1: Emergent infinity tunnels and other physical computing phenomena
- Parse this: Reifying neuromorpho-symbolic AI
- Polymorphic Neural Systems: Integrating multiple structural paradigms for new autonomous machines
- AGX Orin Dev Kit A/V Exoskeleton: Supporting sound and vision
- Toward a silicon amanuensis? Reflections on personal research lab HPC+AI in the Age of Big Data Sciences and Teams in The Cloud
- The Neuroscientist's Edge HPC: Workstation RTX GPUs, AGX Orin + Neurosymbolic and Neurobiological Modeling Tools
- LXXIII and counting: Neurosymbolic development as a Diamond-Scheibel gero-protective agent/process
=---> Anatomical reasoning and pose analysis, on the way to neurosymbolic applications
Canonical neocortex microcircuits - Anatomical Processing Units
