Hands on with Creality’s new M1 Filament Maker

https://invidious.privacyredirect.com/watch?v=Yh5EAr_pFwc

Ever since 3D printing has become a popular tool, the question of waste has been looming in the background. The sad reality of rapid prototyping is that you’re going to generate a lot of prints that just don’t aren’t fit for purpose, even if your printer runs them off perfectly every time. Creality has some products on the way aimed at solving that problem, and [Embrace Making] on YouTube has got his hands on a pre-production prototype of the Creality M1 Filament Maker to give the community a first look.

The M1 is actually only half of the system; Creality is...

Printing an Underwater Diving Helmet With Floating Air Supply

https://invidious.privacyredirect.com/watch?v=mCLPCMgDScI

Old-school diving helmets are deceivingly simple, even if they are – as [Hyperspace Pirate] puts it in a recent video – essentially the equivalent of an upside-down bucket with an air hose supplying air into it. While working on a 3D-printed diving helmet, he therefore made sure to run through all the requisite calculations prior to testing out said diving helmet in his pool.

The 3D model for the diving helmet can be found over at Thingiverse if you too feel like getting wet, just make sure that you size it to fit your own head. In the video CAD (cardboard-aided...

SolidRun P100 COM Express Type 6 module features LPCAMM2 memory, up to 12-core AMD Ryzen AI Embedded P185 SoC

We just reported that the AMD Ryzen AI Embedded P100 series has been expanded with six additional SKUs, and, timed with that, SolidRun has announced its new P100 COM Express Type 6 module family. These compact (95 x 95mm) modules are among the first to support the newly released 8- to 12-core Zen 5 SKUs, with up to 50 TOPS from the NPU and 80 TOPS of total system AI. Another fairly unique feature of the new SolidRun computer-on-module is support for LPCAMM2 LPDDR5X memory. The company uses a screw-lock mechanism to deliver high-bandwidth LPDDR5X performance (up to 9600 MT/s) while maintaining...

Blues Notecard for Skylo IoT module offers 5G NTN satellite, NB-IoT/LTE-M cellular, WiFi, and GNSS connectivity

Blues Notecard for Skylo is an IoT module combining subscription-free 5G NTN satellite, NB-IoT or LTE-M cellular, WiFi, and GNSS connectivity for asset tracking applications in transportation and logistics, energy, and commercial equipment. provides an all-in-one satellite IoT solution that doesn’t require additional hardware or a satellite subscription contract. By default, the module connects over WiFi and switches to cellular when out of range. It only falls back to pay-as-you-go Skylo satellite connectivity when neither WiFi nor cellular connectivity is available, and ensures IoT connectivity at most times. Blues Notecard for Skylo (NOTE-NBGLWX) specifications: Modem – Quectel BG95-S5 NTN satellite...

AMD Ryzen AI Embedded P100 series expands with up to 12 Zen 5 cores, 80 TOPS of AI performance

At CES 2026, we saw AMD launch its new Ryzen AI Embedded P100 series of SoCs, with four- and six-core models designed for Edge AI. At the time of writing, the lineup had six SKUs, with higher-core variants to be announced later. Now at Embedded World 2026, AMD has expanded the Ryzen AI Embedded P100 series with six additional SKUs available in commercial and industrial temperature grades, while the automotive-grade SoCs remain unchanged. The new SOCs integrate 8-12 Zen 5 CPU cores (upgrade from 4-6 cores ), RDNA 3.5 graphics, and an XDNA 2 NPU on a single chip to...

Grinn Brings 25×25mm AstraSOM-261x Edge AI SoM Alongside Synaptics Coral Dev Board

Grinn has announced two new products built around the Synaptics Astra edge AI processor family: the AstraSOM-261x system-on-module and the Synaptics Coral Dev Board development platform. The AstraSOM-261x is a compact module designed for integration into embedded products, while the Coral Dev Board provides a development platform for building and evaluating edge AI applications based […]

Texas Instruments MSPM0G5187 and AM13Ex MCUs integrate TinyEngine NPU for Edge AI applications

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company’s  TinyEngine neural processing unit (NPU) to enable low-latency, high-efficiency Edge AI/Machine Learning inference on the chips. TI claims that the TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy utilization per inference than similar MCUs without an accelerator.  The MSPM0G5187 is a general-purpose, low-power Arm Cortex-M0+ MCU, while the AM13Ex Arm Cortex-M33 microcontroller targets real-time motor control, starting with the AM13E23019 SKU. TI MSPM0G5187 general-purpose Cortex-M0+ MCU Key features and specifications: CPU – Arm Cortex-M0+...

Gateworks GW16168 M.2 AI accelerator features NXP Ara240 DNPU with up to 40 eTOPS

Gateworks has introduced the GW16168, an M.2 AI acceleration card designed to add dedicated neural network processing to embedded and industrial systems. The module integrates NXP’s Ara240 discrete neural processing unit (DNPU) and is designed, tested, and assembled in the United States for industrial edge AI deployments. The GW16168 uses NXP’s Ara240 DNPU to deliver […]

TI Debuts MSPM0G5187 and AM13Ex Edge AI Microcontrollers with TinyEngine NPU

Texas Instruments has introduced two new microcontroller families aimed at bringing artificial intelligence processing to low-power embedded systems. The MSPM0G5187 and AM13Ex devices integrate TI’s TinyEngine NPU, a hardware accelerator designed to improve the efficiency of neural network inference on microcontrollers. The MSPM0G5187 is based on an Arm Cortex-M0+ CPU running up to 80 MHz […]

NXP i.MX 937 cost-effective Cortex-A55/M7/M33 MPU is a drop-in replacement for NXP i.MX 95 SoC family

The 1 .4 GHz NXP i.MX 937 quad-core Cortex-A55 microprocessor (MPU) for HMI and Edge AI applications aims to fill the gap between entry-level NXP i.MX 93 SoCs and higher-end parts like the NXP i.MX 952 processor family, while offering pin-to-pin compatibility with the latter. The i.MX 937 MPU also features a dedicated 667 MHz Arm Cortex -M7 for real-time workloads and a low-power Arm Cortex-M33 core for system management tasks, supports LPDDR4x or LPDDR5 memory, integrates an Arm Mali G310 3D GPU, a VPU for 1080p H.26x video encoding and decoding, and a 2 eTOPS NXP eIQ Neutron NPU...