Latest research from arXiv, written for makers and embedded engineers.
Researchers show that Rydberg atomic receivers can exploit natural Doppler shifts from moving satellites to replace traditional local oscillator hardware.
2026-07-13
Weave is a deterministic tool that converts SPICE netlists into LTspice schematics and mathematically certifies every result is electrically correct.
2026-07-12
A new benchmark called ArchEval tests LLM agents on real hardware design tasks. Results show AI is a useful assistant, not an autonomous architect.
2026-07-12
Researchers built AIGOR, a configurable neuromorphic architecture for FPGAs that runs spiking neural networks without locking you into a fixed neuron model or network topology.
2026-07-08
A new framework called NEMESIS combines LLMs with SPICE simulation to generate accurate amplifier models that run over 4000x faster than full SPICE.
2026-07-08
Researchers show that applying an FFT before training a feature extraction network can cut prediction error by up to 50% in low-data, resource-constrained settings.
2026-07-05
Memristors promise denser, lower-power memory than SRAM, but reliability threats stand in the way. Here is what embedded engineers need to understand.
2026-07-05
Researchers found that after a GPU command finishes on Apple M4 Pro, leftover cache displacement measurably slows the CPU. Here's what that means for builders.
2026-07-02
A detailed reverse-engineered breakdown of Apple's Neural Engine reveals the hardware, firmware, and dispatch paths that Core ML hides from developers.
2026-07-02
Researchers built a software-only method to verify which GPU you're actually running on in the cloud, using latency measurements and network probes.
2026-06-25
A new survey traces how hardware synchronization primitives evolved from the NYU Ultracomputer to modern GPU clusters, with lessons relevant to any multi-core embedded design.
2026-06-20
DataGuard embeds differential privacy enforcement directly into AI accelerator hardware, removing the need to trust third-party software with sensitive training data.
2026-06-19
HAMON encodes time-series data onto light and uses diffractive optics to compute forecasts passively, outperforming digital models on several benchmarks.
2026-06-17
A new binary tree approach to Gaussian random number generation cuts energy by 3.7x and boosts throughput density by 5.8x, making Bayesian Neural Networks practical on ultra-low-power hardware.
2026-06-16
A new compression technique stores neural network weights as small deltas instead of full values, cutting memory use by nearly 50% on resource-constrained FPGAs.
2026-06-16