Learn how Edge AI can enhance embedded systems with Infineon's DEEPCRAFT AI Suite, designed to streamline integration ...

Learn the basics of embedded systems hacking with Arduino, Raspberry Pi & RTOS. Discover GPIO, interrupts, hands-on projects & TinyML for smart edge computing.

WASHINGTON, Sept 22 (Reuters) - U.S. government agencies will be able to use Meta Platforms' (META.O), opens new tab artificial intelligence system Llama, a senior administration official said, as the ...

JERUSALEM, Sept 17 (Reuters) - A low-cost, high-power laser-based system aimed at destroying incoming missiles has successfully completed testing and will be ready for operational use by the military ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

In this repository you will find the source code for a Hart master and a slave that is designed to be used in an embedded system. The Hart protocol itself and the interfaces to the application are ...

Digital product-engineering firm R Systems International Ltd. said Thursday it has entered into a definitive agreement to acquire Novigo Solutions Pvt. Ltd., a maker of low-code/no-code development ...

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...

Abstract: This paper investigates thermal management in tightly integrated heterogeneous chiplet systems, focusing on a novel approach using embedded thermal isolators. In many 2.5D systems, such as ...

A new report out today from cybersecurity company INKY Technology Corp. is sounding the alarm over a new wave of phishing threats that use QR codes in increasingly dangerous and deceptive ways, ...

The use of AI in software development has gained traction with the emergence of large language models (LLMs). These models are capable of performing coding-related tasks. This shift has led to the ...

Large Language Model (LLM)-based coding agents have shown promising results on coding benchmarks, but their effectiveness on systems code remains underexplored. Due to the size and complexities of ...