Vector databases have emerged as the preferred option for customizing generative AI and making it more trustworthy. Both dedicated vector DBs and vector-enabled DB suites deliver companies’ domain-specific data–most often text or imagery–to large language models. They help fine-tune models and enrich user prompts via retrieval-augmented… Read More
Twenty-five years ago, SEMATECH first alerted the world to a concern known as the design productivity gap: the observation that the ability to manufacture complex chips had started outpacing the capability of designers to create them by more than a factor of two. This concern was subsequently reiterated… Read More
The rapid advancement of technology, including generative AI, IoT, and autonomous vehicles, is revolutionizing industries and enhancing efficiency. At the same time, such advances also generate huge amounts of data to be transmitted and processed to make sense and provide value to consumers and society as a whole. In essence,… Read More
Future Digital Twin & Generative AI will explore Open Collaboration, Innovation and Energy Transition. Expert speakers will present and discuss Generative AI, Reality Capture and Digital Twins;
Dan is joined by Jan Pantzar vice president of sales and marketing at VSORA, a provider of high-performance generative AI and ADAS chip solutions based in France. Mr. Pantzar gained extensive experience in the semiconductor, IP and software industries through building and managing organizations around the globe. Previous … Read More
A recent TechSpot article suggests that Apple is moving cautiously towards release of some kind of generative AI, possibly with iOS 18 and A17 Pro. This is interesting not just for Apple users like me but also for broader validation of a real mobile opportunity for generative AI. Which honestly had not seemed like a given, for multiple… Read More
In the complex world of silicon design, ensuring the accuracy and reliability of our designs is paramount. As our chips become more sophisticated, the process of bug hunting—identifying and rectifying errors in our designs—becomes even more critical. Generative AI has the potential to revolutionize the silicon design industry… Read More
The surge in Edge AI applications has propelled the need for architectures that balance performance, power efficiency, and flexibility. Architectural choices play a pivotal role in determining the success of AI processing at the edge, with trade-offs often necessary to meet the unique demands of diverse workloads. There are… Read More
Generative AI has time and again showcased its power to understand, predict, and explain a myriad of phenomena. Beyond its famed applications in art and text, it’s making ripples in the niche realm of hardware engineering. In this article, our exploration focuses on the potential of Generative AI to comprehend and predict… Read More
Generative AI has been making waves across various industries, and its potential continues to expand. Among its many applications, one particularly intriguing area is the capacity of GenAI to explain digital design waveforms and act as a co-pilot for hardware engineers in the debugging process. In this article, we will explore
