In this episode of Embedded Insiders, Winston Leung, Senior Product Marketing Manager at QNX, and Jay Thomas, Director of Field Development at LDRA join the podcast to discuss the fusion of robotics and automation in modern manufacturing, and how functional safety is shaping this transformative shift.

Theoretically, you can do whatever functions you require in hardware or software. The most efficient way to complete those functions is with the proper mix of hardware and software. The important question is how you determine what gets implemented in hardware versus what’s in software. 

What if you can do a quasi-hardware-software mix? That’s what is available through embedded FPGAs. 

To understand this technology far better than Vin or I can, we invited Steve Mensor, a Vice President at Achronix Semiconductor onto the DevTalk with Rich and Vin podcast to explain it in terms that we could understand.

Santa Clara, California. Achronix Semiconductor Corporation collaborated with Myrtle.ai for an accelerated automatic speech recognition (ASR) platform designed around the Speedster7t FPGA. Spoken language is transformed into text in over 1,000 concurrent real-time streams and a 20x performance boost over other qualifying products.

Speech recognition on an FPGA? That doesn’t sound like the most effective path, but Bill Jenkins, of Achronix had a different opinion. Hear his take on why the FPGA is the right way to go for this application on this week’s Embedded Executives podcast.

The efficiency, reliability, and performance of AI inferencing, deep learning, vector processing, and other specialized workloads often rely on the ability to leverage functional hardware that supports the offloading of tasks, real-time processing, and energy efficiency to increase the overall system throughput and reduce processing bottlenecks.

Acquisition Adds Advanced SmartNIC FPGA Capabilities to Accelerate Time-to-Market for Achronix Customers' Networking Applications

According to the two companies, the card offers the industry?s highest performance interfaces available on a PCIe FPGA accelerator card.