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Yesterday β€” 12 November 2024Main stream

NXP i.MX 94 octa-core Cortex-A55/M33/M7 processor targets Edge AI industrial and automotive applications

12 November 2024 at 17:48
NXP i.MX 94

NXP i.MX 94 is an octa-core Arm SoC with up to four Cortex-A55 application cores, two Arm Cortex-M33 real-time/functional safety cores, two Arm Cortex-M7 real-time/functional safety cores, and an NXP eIQ Neutron NPU designed for Edge AI industrial and automotive applications I initially thought it would be a cost-down version of the NXP i.MX 95, and while it shares many of the same features, it’s more an application-specific processor designed specifically for industrial and automotive applications, lacking a 3D GPU, camera input interfaces, a MIPI DSI display interface, and 10GbE networking, but increasing the number of real-time cores (at the cost of application cores) and adding several networking features such as an Ethernet time-sensitive networking (TSN) switch, 2.5GbE interface, an Ethercat controller, and support for industrial protocols like Profinet or OPC-UA FX. NXP i.MX 94 specifications: CPU Up to 4x Arm Cortex-A55 cores 2x Arm Corex-M7 cores, one for functional [...]

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Before yesterdayMain stream

Giveaway Week 2024 – RT-Thread Vision board with Renesas RA8D1 Arm Cortex-M85 MCU

8 November 2024 at 10:00
RT-Thread Vision board

It’s already Friday, and the fifty prize of CNX Software’s Giveaway Week 2024 will be the RT-Thread Vision board equipped with a Renesas RA8D1 Arm Cortex-M85 microcontroller, a camera, an optional LCD display, and a 40-pin GPIO header. The board is used as an evaluation platform for the Renesas RA8D1 MCU and RT-Thread real-time operating system. As its name implies, it’s mainly designed for computer vision applications leveraging the Helium MVE (M-Profile Vector Extension) for digital signal processing (DSP) and machine learning (ML) applications. I haven’t reviewed it myself and instead, received two samples from RT-Thread who sent them to me by mistake, so I’ll give them away here and on the Thai website. But it was reviewed by Supachai who tested the RT-Thread Vision board with OpenMV and ran a few benchmarks last June. The Helium MVE did not seem to be utilized in OpenMV at that time (June [...]

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STMicro’s low-power ST1VAFE3BX AI biosensor integrates biopotential signal monitoring and motion tracking

1 November 2024 at 09:57
STMicro ST1VAFE3BX biosensor

STMicroelectronics (STMicro) has announced the ST1VAFE3BX biosensor, a highly integrated chip that combines β€œcardio and neurological sensing with motion tracking and embedded AI functionalities,” and is targeted at healthcare and fitness wearables. The ST1VAFE3BX biosensor chip integrates biopotential inputs with an accelerometer and a machine learning core for reduced power consumption. It features a complete vertical analog front end (vAFE) for simplified detection of vital signs in electrocardiography, electroencephalography, and other healthcare monitoring applications. Inertial sensing by the accelerometer is synchronized with biopotential sensing β€œto infer any link between measured signals and physical activity.” The integrated machine-learning core (MLC) and finite state machine (FSM) allow for ultra-low-power and accurate biopotential input recognition at a degree of responsiveness that is reportedly faster than the current industry standard. The ST1VAFE3BX is aimed at applications in healthcare and fitness wearables such as smartwatches, smart patches, sports bands, connected rings, and smart glasses. It [...]

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Microchip PIC64HX1000 64-bit RISC-V AI MPU delivers post-quantum security for aerospace, defense, and automotive applications

28 October 2024 at 07:00
Microchip PIC64HX1000 64 bit AI MPU

Microchip recently unveiled the PIC64HX1000 64-bit RISC-V AI microprocessor (MPU) family designed for mission-critical intelligent edge applications in the aerospace, defense, industrial, and medical sectors thanks to a quantum-resistant design. These new MPUs feature eight SiFive’s Intelligence X280 cores, each clocked at 1 GHz. The MPUs are engineered with a decoupled vector pipeline enabling 512-bit operations enabling the PIC64HX1000 to achieve up to 2 TOPS for AI/ML processing and come equipped with integrated Time-Sensitive Networking (TSN) Ethernet connectivity. This new microprocessor includes a dedicated system controller for runtime monitoring and fault management, WorldGuard architecture for workload isolation, and post-quantum defense-grade cryptography, which includes the NIST-standardized FIPS 203 and FIPS 204 cryptographic algorithms, ensuring protection against future quantum computing threats. PIC64HX1000 64-bit AI MPU specification MPU variants PIC64HX1000 – IN (Industrial) PIC64HX1000 – AV (Aviation) PIC64HX1000 – MI (Military) CPU – 8x 64-bit RISC-V cores (SiFive X280), up to 1 GHz, [...]

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