Renesas Electronics expanded its range of embedded artificial intelligence (e-AI) solutions for incorporating AI into embedded systems by bringing intelligence to endpoints. Its RZ/A2M microprocessor (MPU) delivers 10 times the image processing performance of its predecessor, the RZ/A1, and incorporates Renesas’ exclusive Dynamically Reconfigurable Processor (DRP) technology, which achieves real-time image processing at low power consumption.
This allows applications incorporating embedded devices – such as smart appliances, service robots, and compact industrial machinery – to carry out image recognition employing cameras and other AI functions while maintaining low power consumption.
Since real-time image processing can be accomplished while consuming very little power, battery-powered devices can perform tasks such as real-time image recognition based on camera input, biometric authentication using fingerprints or iris scans, and high-speed scanning by handheld scanners. This solves several issues associated with cloud-based approaches, such as the difficulty of achieving real-time performance, assuring privacy, and maintaining security.
High reliability memories Altron Arrow
DSP, Micros & Memory
Infineon’s mil-temp memories offer a wide selection of volatile and non-volatile memories for applications that meet QML-Q certifications and offer support for mil-aero applications.
Read more...KIOXIA pioneer new 3D Flash technology EBV Electrolink
DSP, Micros & Memory
KIOXIA Corporation and Sandisk Corporation have pioneered a state-of-the-art 3D flash memory technology, setting the industry benchmark with a 4,8 Gb/s NAND interface speed, superior power efficiency, and heightened density.
Read more...Artificial intelligence meets embedded development Avnet Silica
DSP, Micros & Memory
Microchip Technology is leveraging the power of artificial intelligence (AI) to assist software developers and embedded engineers in writing and debugging code with the launch of its MPLAB AI Coding Assistant.
Read more...Embedded module for AI vision applications Rugged Interconnect Technologies
DSP, Micros & Memory
The TQMa95xxSA supports AI/ML with vision applications through an integrated NPU and an image processor unit.
Read more...High-speed Flash for SoC applications NuVision Electronics
DSP, Micros & Memory
GigaDevice has unveiled the GD25NE series of dual-power supply SPI NOR Flash chips, designed specifically for 1,2 V system-on-chip (SoC) applications.
Read more...Super-fast H.264 encoder FPGA core EBV Electrolink
DSP, Micros & Memory
An ITAR-compliant H.264 core designed for AMD FPGAs provides baseline H.264 support and is currently the smallest and fastest FPGA core in the industry.
Read more...ST MCUs extend ultra-low power innovation Altron Arrow
DSP, Micros & Memory
STMicroelectronics has introduced new STM32U3 microcontrollers with cutting-edge power-saving innovations that ease deployment of smart connected tech, especially in remote locations.
Read more...Chipset enables ultra-wide signal capture RFiber Solutions
DSP, Micros & Memory
Jariet Technologies has developed Electra, a chipset that enables ultra-wide, multi-function and multi-band signal capture and generation from a single component.
Read more...SoC for real-time AI at the edge Future Electronics
DSP, Micros & Memory
Ambiq’s Apollo330 Plus series is purpose-built to enable always-on and real-time AI inferencing on devices.
Read more...Evaluation kit for ML applications Future Electronics
DSP, Micros & Memory
The hardware kit includes radar, acoustic, pressure and motion sensors and integrates dual Arm Cortex-M4 and Cortex-M0+ CPU cores.