Axera AX8850 edge platform arrives in a pyramid-style design

M5Stack introduced today an embedded platform with an unusual pyramid-shaped edge computing system built around the Axera AX8850 system-on-chip. Two models are offered for local AI inference workloads as well as applications that require multimedia processing and dual Ethernet connectivity. Both systems are based on the Axera AX8850 SoC, which integrates an octa-core Arm Cortex-A55 […]

An in-kernel machine-learning library

For those wanting more machine learning in the kernel, Viacheslav Dubeyko
has posted a
new in-kernel library
for that purpose.

What is the goal of using ML models in Linux kernel? The main goal
is to employ ML models for elaboration of a logic of particular
Linux kernel subsystem based on processing data or/and an efficient
subsystem configuration based on internal state of subsystem. As a
result, it needs: (1) collect data for training, (2) execute ML
model training phase, (3) test trained ML model, (4) use ML model
for executing the inference phase. The ML model inference can be
used for recommendation of Linux kernel subsystem configuration
or/and for injecting a synthesized subsystem logic into kernel
space (for example, eBPF logic).

It is rigorously undocumented
and there are no real users, so it’s not entirely clear what the purpose
is, but there are undoubtedly interesting things that could be done with
it.

Maca 2 enables high-power wireless connectivity for UAV and robotic systems

8devices has previewed the Maca 2, a compact, high-power data radio for long-range wireless communication in drone, robotics, and industrial systems. Designed and manufactured in Europe, the platform is NDAA and TAA compliant and integrates multiple interfaces for range-focused deployments. The system is built on Qualcomm’s QCS405 system-on-chip, featuring a 650 MHz 24Kc MIPS processor […]