Intel and AMD have launched an x86 ecosystem advisory group that the companies say will bring together technology leaders to shape the future of the x86 architecture. They want to show that x86 is able to meet the needs of the market better than other architectures through performance and interoperability across hardware and software.

Altera, an Intel Company, disclosed various FPGA hardware, software, and developmental tools that simplify accessibility across a broad range of use cases. During its annual developer’s conference, Altera discussed new information on its next-generation, power- and cost-optimized Agilex 3 FPGAs and revealed new development kits and software support for its Agilex 5 FPGAs.

On this episode of Embedded Insiders, Jack Weast, Intel Fellow and Vice President and General Manager of Intel Automotive, breaks down the company’s recently announced OLEA U310 SoC. Built with a hybrid and heterogeneous architecture, the solution is designed to improve the overall efficiency of electric vehicles by promoting energy efficiency, and lower design and manufacturing costs.

Data centers and enterprise environments require powerful processors for several critical reasons. These environments are increasingly tasked to support large and complex workloads, advanced virtualization support and cloud computing, AI-optimized features, advanced security features, and much more.

On this episode of Embedded Insiders, Rich and Vin are taking over with a Dev Talk featuring Matt Johnson, the CEO of Silicon Labs. Continuing their “CEO takeover,” the two are deep-diving into Matt’s background, journey with the semiconductor manufacturing company, and his opinion on how  AI will affect incoming engineers. 

But first, Rich and Ken are calling out Intel. If you didn’t know, Intel acquired Altera in 2015, however, we've still got some questions about the company’s expansion and presence in the FPGA market.

The Embedded Computing Design editorial staff is pleased to present this year’s embedded world Best-in-Show nominees in the AI and Machine Learning category:

Today’s modern computing environments require scalable processors that are capable of meeting the growing demand for raw computing power, flexible architecture, and accelerated performance workloads for artificial intelligence, data analytics, networking, storage, and high-performance computing.