Abstract: Deploying deep neural network (DNN) models on Microcontroller Units (MCUs) is typically limited by the tightness of the SRAM memory budget. Previously, machine learning system frameworks ...

As embedded applications grow in complexity and regulatory requirements evolve, SEGGER has continued to extend its offerings to address new technical and workflow challenges. Rece ...

GigaDevice, a leading semiconductor company specializing in Flash memory, 32-bit microcontrollers (MCUs), sensors, and analog products, announced today the launch of its new GD24CL series I²C EEPROM.

Smart homes, robotics, wearables, and the next generation of intelligent sensing devices are all targets of Innatera's Pulsar ...

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...

Some of us have felt somewhat nervous about the collapse of DRAM and NAND Flash memory supply in the consumer market, while ...

Abstract: Embedded AI systems are expected to incur low power/energy consumption for solving machine learning tasks, as these systems are usually power constrained (e.g., object recognition task in ...

PC cooling hardware is evolving into a secondary display platform ...

GigaDevice, a leading semiconductor company specializing in Flash memory, 32-bit microcontrollers (MCUs), sensors, and analog ...

How much a stock's price changes over time is important for most investors, since price performance can both impact your investment portfolio and help you compare investment results across sectors and ...

JEDEC’s HBM4 and the emerging SPHBM4 standard boost bandwidth and expand packaging options, helping AI and HPC systems push past the memory and I/O walls. Why AI and HPC compute scaling is outpacing ...

How microcontrollers and single-board computers coordinate high-speed RF acquisition and generation. How SCPI and UART commands let simple controllers use advanced measurements without FPGA ...