Blog
Long-form writing on Memoria, FinInsight, and NeuroCUDA: social software, market intelligence, and compiler infrastructure. Every post cites primary sources.
Featured
The AI Energy Crisis Explained: Why Inference, Not Training, Is the Real Power Problem
The IEA projects 945-1,050 TWh of data center electricity demand by 2030, and 80-90% of that is inference, not training. GPUs lose most of their energy to moving data, not doing math. Here is the von Neumann bottleneck explained, what the brain does differently at 20 watts, and what happens if neuromorphic hardware captures even a fraction of inference workloads.
June 22, 2026
What Is ROS2? The Robot Operating System Explained
ROS2 isn't an operating system - it's robotics middleware. Nodes, topics, services, actions, DDS, and why ROS2 replaced ROS1, explained from the ground up.
June 22, 2026
ROS2 and Spiking Neural Networks: What Exists, What Doesn't
A survey of every public ROS2 + SNN project, Gridbot, the Loihi oculomotor head, ROS-MUSIC, and why almost none of it runs on ROS2 or installs with pip.
June 22, 2026
ROS2 Jazzy vs Humble: Which Distro Should You Use?
Ubuntu version, support timeline, and what actually changed in Jazzy, plus which distro NeuroCUDA ROS2 targets and why.
June 22, 2026
Event Cameras and ROS2: DVS Drivers and SNN Pipelines
The existing ROS2 event-camera drivers, the event_camera_msgs format, and how to feed event data straight into a spiking neural network.
June 22, 2026
Neuromorphic Robotics with Loihi 2 and ROS2: The Research So Far
The Astrobee RL-to-SNN pipeline, hexapod locomotion, TurtleBot3 multi-robot control, and what's still missing for production use of Loihi 2 in ROS2.
June 22, 2026
How to Deploy a Spiking Neural Network on a ROS2 Robot
Nodes, topics, message types, and a Docker shortcut for running NeuroCUDA's compiled SNN on a robot's camera feed - the first pip-installable ANN-to-SNN compiler with a ROS2 package.
June 22, 2026
Neuromorphic CUDA: What the Search Term Actually Means
Searching "neuromorphic cuda" surfaces GeNN, Brian2, and GPU-RANC, CUDA-accelerated SNN simulators for neuroscience. Here's how that differs from converting a trained PyTorch model for deployment.
June 22, 2026
The SNN Software Barrier: Neuromorphic's Real Bottleneck
Loihi 2 and SpiNNaker 2 already exist. What's missing is a way to get a PyTorch model onto one without learning an entirely new framework first.
June 22, 2026
NeuroCUDA vs. NIRTorch: Comparing NIR Conversion
NIRTorch and NeuroCUDA both move models between PyTorch and NIR. How their approaches differ, including a verified bit-exact ResNet-18 result.
June 22, 2026
Intel Lava Is Archived: What to Use Instead
The lava-nc repositories are now archived with no successor SDK. What that means for Loihi 2 developers, and the alternatives that still work today.
June 22, 2026
Best Compilers for Neuromorphic Chips in 2026
Nengo, Intel's archived Lava, Hailo's Dataflow Compiler, and NeuroCUDA compared. What each actually does, and which fits a PyTorch workflow.
June 22, 2026
ANN to SNN Conversion Tools Compared
snnTorch, SpikingJelly, SNNToolbox, and NeuroCUDA, side by side: training-from-scratch tools versus after-the-fact conversion tools.
June 22, 2026
How to Deploy a PyTorch Model to Loihi 2 (2026 Guide)
The traditional Lava-DL path is archived. Here's how to convert and validate a PyTorch model against Loihi 2's neuron equations today.
June 22, 2026
PyTorch Spiking Neural Network Tutorial
Convert a trained PyTorch CNN into a spiking neural network, measure sparsity, and validate accuracy, start to finish.
June 22, 2026
What Is NIR? Neuromorphic Intermediate Representation Explained
A vendor-neutral graph format for spiking neural networks, supporting 8 simulators and 5 hardware platforms, and where it still struggles with residual networks.
June 22, 2026
CUDA for Neuromorphic Computing: Where the Analogy Breaks
The CUDA-for-neuromorphic comparison is useful but incomplete. Where it holds, where it breaks, and what a compiler can realistically deliver today.
June 21, 2026
What Is a Neuromorphic Chip, and How Do You Run a Model On One?
A practical guide to neuromorphic chips and the compiler problem standing between a trained PyTorch model and real hardware, and how NeuroCUDA closes that gap.
June 20, 2026
Neuromorphic Chips in 2026: The Complete Field Guide
Loihi 2, SpiNNaker-2, BrainChip Akida, IBM NorthPole, and Innatera T1, compared head to head. Spiking vs non-spiking, digital vs analog, and where each chip actually fits the market.
June 20, 2026
Why Neuromorphic Computing Needs Its CUDA Moment
Before 2007, every GPU vendor had an incompatible toolchain. Neuromorphic computing is in that exact position today. The history, the NIR format, and why infrastructure always wins.
June 20, 2026
NeuroCUDA Launch: Inside the Benchmarks
94.49% SNN accuracy, zero deviations across 256,000 Loihi 2 comparisons, 93.67% sparsity. How each number was actually measured, and why the methodology matters as much as the result.
June 20, 2026
Building Memoria, FinInsight, and NeuroCUDA
One founder, three unrelated products: a private social memory app, a market intelligence engine, and an open-source compiler. Why that breadth works, and what each product actually solves.