Category
Tiny Local Models
Sub-100M parameter models running on microcontrollers and ultra-low-power silicon. The long tail of embedded AI beyond smartphones.
Synthesize Realistic 3D Medical Images at Scale to Ship Pre‑Trained Models
High‑quality 3D medical imaging data is the foundation of modern radiology AI, but access to it is often constrained by data scarcity, privacy restrictions, and the high cost of expert annotation.
Constraints: KB-level memory budgets, single-digit milliwatt power envelopes, limited tooling for non-ML engineers.
Watch for: TinyML benchmark results, MCU vendor AI SDK releases, academic distillation papers, Arduino/PlatformIO AI libs.