TPM 2.0, Secure Boot and Remote Attestation for IoT Fleets (2026)
TPM 2.0 secure boot, measured boot and remote attestation for IoT fleets: PCRs, event logs, keylime, device identity (DICE/DevID) and failure modes.
OPC UA Security Explained: Certificates, GDS, Security Policies and Hardening (2026)
OPC UA security explained: application instance certificates, trust lists, GDS push/pull, security policies, user tokens, and a hardening checklist for plants.
pgvectorscale vs pgvector: StreamingDiskANN vs HNSW in Postgres (2026)
pgvectorscale vs pgvector compared: StreamingDiskANN vs HNSW, SBQ quantization, label filtering, build time, memory, recall and when each wins.
NVIDIA Dynamo and LMCache: Disaggregated LLM Serving and KV Cache Offload (2026)
NVIDIA Dynamo and LMCache explained: prefill/decode disaggregation, KV-aware routing, NIXL transfers, tiered KV offload, and when the complexity pays off.
Arm Ethos-U85 and Cortex-M85: TinyML NPU Architecture for Edge AI (2026)
Arm Ethos-U85 with Cortex-M85 explained: MAC configs, Vela compiler, TOSA, transformer support, memory bandwidth, and how it compares with Ethos-U55 and U65.
BehaviorTree.CPP vs State Machines vs SMACC2: Robot Task Logic Compared (2026)
BehaviorTree.CPP vs finite state machines vs SMACC2 for robot task logic: reactivity, modularity, blackboards, Nav2 integration, debugging with Groot2.
micro-ROS on Microcontrollers: XRCE-DDS Agent Architecture and Tutorial (2026)
micro-ROS explained: XRCE-DDS client-agent design, RMW, transports, memory budgets on Cortex-M and ESP32, real-time executors, and a working publisher.
MQTT-SN vs MQTT vs CoAP: Protocol Choice for Constrained Sensors (2026)
MQTT-SN vs MQTT vs CoAP explained: UDP vs TCP, topic IDs, gateways, sleeping clients, DTLS overhead and byte-level costs for battery sensor networks.
CAN FD vs CAN XL vs CANopen: Industrial and Robot Bus Selection (2026)
CAN FD vs CAN XL vs CANopen compared: frame formats, bit rates, arbitration, CiA 1301, SIC transceivers and when to pick EtherCAT instead on robots.
cuRobo vs OMPL: GPU-Accelerated Motion Planning and Collision-Free Trajectory Optimization
cuRobo vs OMPL explained: sampling-based vs optimization-based motion planning, GPU collision checking, signed distance fields, trajectory optimization.