Smith was appointed a director of Data I/O effective February 23, 2022. Currently he is serving as the Executive Chairman of the Board of SMTC Corporation. Previously he served as the President and ...

Learn more about whether Amkor Technology, Inc. or Microchip Technology Incorporated is a better investment based on AAII's A+ Investor grades, which compare both companies' key financial metrics.

With a market cap of around $29 billion, Chandler, Arizona-based Microchip Technology Incorporated (MCHP) is a leading ...

New Delhi [India], November 27 (ANI): In the recently concluded General Election to Bihar Legislative Assembly Election 2025 and bye-elections, no application for checking and verification of burnt ...

Building on the success of the 1.2 V I/O GD25NF and GD25NE series, the new GD25NX further extends GigaDevice's expertise in ...

While you may have been distracted by Apple’s new product releases and interesting operating system enhancements, the company also quietly a powerful new security feature this week: Memory Integrity ...

I'm trying to use cyclone on a microcontroller with Zephyr 4.2 with 320kB of sram, of which about 250kB is free before using cyclone. It seems to build ok after applying a few small patches for header ...

Over on YouTube [Electronic Wizard] explains how to use the AT24C32 EEPROM for external memory for microcontrollers. He begins by explaining that you don’t want to ...

What if the very tool you rely on for precision and productivity started tripping over its own memory? Imagine working on a critical project, only to find that your AI assistant, Claude Code, is ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of researchers from leading ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. “A large language model ...