The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.

The long-term objective is to let engineers spend more time on what really matters and less time on manual coordination.

How many times have you heard that outsourcing is just a race to the bottom for prices? If you believe that you are living in 2010. Today the global market for software development is not about ...

March 12 (Reuters) - Oracle's Mike Sicilia is the latest software CEO to wade in to the debate on whether artificial intelligence tools that heavily automate human tasks will mean the demise of his ...

According to Mordor Intelligence, the embedded insurance market size was valued at USD 13.88 billion in 2025 and is projected to grow from ...

Generative AI, intelligent agents, and frontier models are giving rise to a new category of software that I believe will redefine how work gets done. For decades, we have built systems of record and ...

At embedded world 2026 on the DigiKey booth, Lucy Barnard speaks with Vinay Agarwal, VP and General Manager of MSP Microcontrollers at Texas Instruments about TI's approach to making Edge AI accessibl ...

Artificial intelligence (AI) solution provider Innodisk presents a comprehensive portfolio designed to accelerate real-world edge AI deployment for industrial applications at Embedded World 2026 in ...

TI's integrated TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Ford announced a new AI-powered service for its commercial fleet and telematics software customers called Ford Pro AI. The generative AI system analyzes data generated by commercial vehicles — ...

Thanks to these new MCUs with the TinyEngine NPU, edge-based applications of AI acceleration can make consumer devices more intelligent and industrial devices more efficient.