At first glance, this seems like a ho-hum topic- just use whatever Arm or RISC-V solution you need – but think again. We’re now expecting to push an awful lot of functionality into these edge devices. Our imaginations don’t care about power, performance and cost; everything should be possible so let’s keep adding cool features.… Read More
Semiconductor Intellectual Property
A Brief History of Methodics
Methodics has been a key player in IP management for over 10 years. In this section, Methodics shares their history, technology, and their role in developing IP Lifecycle Management (IPLM) solutions for the electronics industry.
Methodics is recognized as a premier provider of IP Lifecycle Management (IPLM) and traceability… Read More
Rambus Take on AI in the Era of Connectivity at Linley Processor Conference
Steven Woo, Fellow and Distinguished Inventor presented at the just concluded Linley Spring Processor Conference a talk about AI in the Era of Connectivity. As he put it, the world is becoming increasingly connected, with a marked surge of digital data, causing a dependence on said data. With the explosion of digital data and AI,… Read More
Customizing and Standardizing IP with eSilicon at the Linley Conference
During the SoC Design Session at the just concluded Linley Spring Processor Conference in Santa Clara, Carlos Macian, Senior Director AI Strategy and Products at eSilicon, held a talk entitled ‘Opposites Attract: Customizing and Standardizing IP Platforms for ASIC Differentiation’.
Standardization is key to IP in modern … Read More
Flex Logix InferX X1 Optimizes Edge Inference at Linley Processor Conference
Dr. Cheng Wang, Co-Founder and SVP Engineering at Flex Logix, presented the second talk in the ‘AI at the Edge’ session, at the just concluded Linley Spring Processor Conference, highlighting the InferX X1 Inference Co-Processor’s high throughout, low cost, and low power. He opened by pointing out that existing inference solutions… Read More
ML and Memories: A Complex Relationship
No, I’m not going to talk about in-memory-compute architectures. There’s interesting work being done there but here I’m going to talk here about mainstream architectures for memory support in Machine Learning (ML) designs. These are still based on conventional memory components/IP such as cache, register files, SRAM and various… Read More
Using ML to Build Efficient Low Power Platforms for Augmented Vision
We are all pretty familiar with augmented reality, where real world images are overlaid with computer generated images, graphics and even audio. Of course, our first exposure to augmented reality might have been images of heads up displays in fighter jets or perhaps in the movie The Terminator. Augmented reality is moving rapidly… Read More
Real Time Object Recognition for Automotive Applications
The basic principles used for neural networks have been understood for decades, what have changed to make them so successful in recent years are increased processing power, storage and training data. Layered on top of this is continued improvement in algorithms, often enabled by dramatic hardware performance improvements.… Read More
IC Integrity Thesis
Most of my investments are associated with large changes in the semiconductor industry. These changes create opportunities for new and disruptive technologies. I also look to find solutions that provide a compelling reason to adopt a new technology or approach. When talking about a new approach, it often takes longer to overcome… Read More
Spring Forward with AI
The euphoria of NCAA March Madness seems to spill over into the tech world. The epicenter of many tech talks this month spanning from GPU conference, OCP, SNUG to CASPA has evolved around an increased AI endorsement by many companies and its integration into many silicon driven applications. At this year CASPA Spring Symposium,… Read More
Should Intel be Split in Half?