Product Description:

The OSM-IMX93 is an OSM R1.1 Size-L module featuring NXP®️ i.MX93 series processor with 2-core Arm Cortex-A55 & M33. With its in-SoC Arm Ethos U-65 microNPU, the module is made for edge solutions needing on-device AI processing at ultra-low power.

The OSM-IMX93 module supports LVDS and DSI graphics output, 2x GbE (1 TSN capable), 2x CAN bus, I2S audio codec interface, USB2 interfaces, and provides 15-year product availability.

Boasting the highest safety standards with a separate security island and available with rugged operating temperature options (-40°C to 85°C), the OSM-IMX93 is your ideal solution for various edge AI applications.

In the dynamic landscape of modern manufacturing, Industry 4.0 has ushered in a wave of technological innovations, making AI integral to automating and refining inspection procedures.

Product Description:

ADLINK's cExpress-MTL is a COM Express®️ COM.0 R3.1 Type 6 Compact module featuring Intel’s latest Intel®️ Core™️ Ultra processors (formerly “Meteor Lake-U/H”). This module integrates CPU, GPU, and NPU into a single solution for the embedded market, offering up to 8 GPU Xe-cores (128 EUs), an 11pTOPS/8.2eTOPS NPU, and 14 CPU cores at 28W TDP.

ADLINK’s Express-VR7 COM Express Type 7 Basic size module is based on AMD Embedded Ryzen™️ V3000 series processor. Offering up to 8 cores and 16 threads at 15W/45W TDP, the module exhibits the best performance per watt in its class, along with 14x PCIe Gen4 lanes with enterprise level reliability and extreme rugged temperature option (-40°C to 85°C).

Despite the fact that most of the hype around advanced driver assistance systems, or ADAS, is focused on getting closer to consumer autonomous driving, the real mass of implementations and driving force behind the technological advancements that have been made recently is in the fleet and commercial spaces.

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the Computer Boards, Systems, Components, & Peripherals category:

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the AI and Machine Learning category: