We live in an exploding AI world, and this has put pressure on foundries to deliver new products faster than ever before. Any help to accelerate the semiconductor R&D goes a long way to make the life of Fab engineers easier. EDA tools in the TCAD (Technology Computer Aided Design) category are critical for TCAD engineers to accelerating… Read More
Tag: tensorflow
Quadric: Revolutionizing Edge AI
In the rapidly evolving landscape of AI, Quadric stands out as a pioneering force in edge computing. Founded in 2018 and headquartered in Burlingame, California, Quadric is a technology company focused on developing high-performance, energy-efficient processors for AI workloads at the edge devices like smartphones, IoT … Read More
The Immensity of Software Development and the Challenges of Debugging Series (Part 4 of 4)
The Impact of AI on Software and Hardware Development
Part 4 of this series analyzes how AI algorithmic processing is transforming software structures and significantly modifying processing hardware. It explores the marginalization of the traditional CPU architecture and demonstrates how software is increasingly dominating… Read More
Build a 100% Python-based Design environment for Large SoC Designs
In the fast-evolving world of semiconductor design, chip designers are constantly on the lookout for EDA tools that can enhance their productivity, streamline workflows, and push the boundaries of innovation. Although Tcl is currently the most widely used language, it seems to be reaching its limits in the face of the growing… Read More
Optimizing AI/ML Operations at the Edge
AI/ML functions are moving to the edge to save power and reduce latency. This enables local processing without the overhead of transmitting large volumes of data over power hungry and slow communication links to servers in the cloud. Of course, the cloud offers high performance and capacity for processing the workloads. Yet, … Read More
Embedded Logic-NVM Solutions for Al Chips
Last month, eMemory Technology hosted a webinar titled “eMemory’s Embedded Logic-NVM Solution for AI Chips.” While the purpose was to present their embedded Logic-NVM solution, the webinar nicely sets the stage by highlighting Analog NVM’s value as it relates to neural networks. Of course, the algorithms of neural networks… Read More
Enhancing RISC-V Vector Extensions to Accelerate Performance on ML Workloads
During the week of April 19th, Linley Group held its Spring Processor Conference 2021. The Linley Group has a reputation for convening excellent conferences. And this year’s spring conference was no exception. There were a number of very informative talks from various companies updating the audience on the latest research and… Read More
Expanding Role of Sensors Drives Sensor Fusion
It is long past the time when general purpose processors could meet the needs of sensor fusion. Sensor fusion performs operations to process and integrate raw sensor data so that downstream processing is simplified and is performed at a higher level. When done properly it offers several other significant benefits such as lower… Read More
CEO Interview: Wally Rhines of Cornami
Wally Rhines is President and CEO of Cornami, Inc., a company named for its “tsunami of cores”. The company has developed a “TruStream” programming environment that generates independent executable streams of data and control. They have also designed a chip that provides the computational fabric for multi-core execution of… Read More
How does TensorFlow Lite on Tensilica HiFi DSP IP Sound?
In all the hubbub about AI/ML, it’s easy to see why visual ML gets more attention. It’s got appeal because of applications such as autonomous driving. Because of this it’s easy to overlook the importance of audio ML. I own a Tesla and putting it into autopilot is very cool, but even it has voice recognition built in as an important feature… Read More
