Search results for "ai edge computing"

To meet the rising global demand for current and voltage sensing, driven by the global shift toward decarbonisation and electrification, LEM, a leader in electrical measurement technology, has opened new research and development centres in Munich, Germany, and Shanghai, China. These facilities are key to LEM’s strategy of integrating greater intelligence into its sensors while ensuring closer proximity to key customers, promoting deeper col...

Launching alongside NVIDIA GTC, the AI developer conference in San Jose, California, is the latest Syslogic A4AGX rugged computers are now available.

xMEMS Labs have unveiled its latest groundbreaking innovation: the xMEMS XMC-2400 µCooling chip. This is the industry’s first all-silicon, active micro-cooling fan, designed for ultramobile devices and next-generation artificial intelligence (AI) applications.

MYIR has unveiled the MYC-LMA35 System-On-Module (SOM), featuring the Nuvoton NuMicro MA35D1 processor (the MA35D16A887C variant).

SignatureIP, the pioneer ofnext generation interconnect and interfacesolutions, announces that its Networks-on-Chips (NoCs) provide the necessary infrastructure to efficiently connect and manage RISC-V CPUs in complex chip designs.

Microchip has announced a collab with Acacia to demonstrate the fourth generation of interoperability between Microchip’s META-DX2 Ethernet PHY family and Acacia’s Coherent Interconnect Module 8 (CIM 8).

At InnoTrans 2024, Advantech will showcase its advanced railway-based system, from 24 to 27 September.

Infineon Technologies AG has broadened its microcontroller portfolio through the introduction of the PSoC Edge family, which enhances power-efficient machine learning capabilities at the edge.

Toradex has launched its early access programme in partnership with NXP Semiconductors, featuring the Titan Evaluation Kit that leverages NXP’s i.MX 95 Applications Processors.

Edge Impulse, the platform for building, refining, and deploying machine learning models and algorithms to Edge devices, has launched a direct integration with Arm Keil MDK that provides easy access to cutting-edge AI and machine learning models and makes it simpler and faster for embedded engineers to collaborate with other cross-disciplinary teams to build edge AI products and bring them to market.