This isn’t a deep article. I only want to help head off possible confusion over this term. I have recently seen “vibe coding” pop up in discussions around AI for code generation. The name is media-friendly giving it some stickiness in the larger non-technical world, always a concern when it comes to anything AI. The original intent… Read More
We have a shortage of reference designs to test detection of security vulnerabilities. An LLM-based method demonstrates how to fix that problem with structured prompt engineering. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford,… Read More
Whatever software engineering teams are considering around leveraging AI in their development cycles should be of interest to us in hardware engineering. Not in every respect perhaps but there should be significant commonalities. I found a recent paper on the Future of AI-Driven Software Engineering from the University of … Read More
AI has changed a lot in the last ten years. In 2012, convolutional neural networks (CNNs) were the state of the art for computer vision. Then around 2020 vison transformers (ViTs) redefined machine learning. Now, Vision-Language Models (VLMs) are changing the game again—blending image and text understanding to power everything… Read More
Dive into the world of evaluating Large Language Model (LLM) agents with a focus on practical insights and actionable strategies. This webinar will cover key evaluation metrics and methodologies to assess the performance, reliability, and effectiveness of LLM agents in diverse applications. Gain a comprehensive
And just like that, the AI PC arrived. It will be hard to miss high-profile advertising campaigns like the one just launched by Microsoft touting them. Gartner said this September that AI PCs will be 43% of all PC shipments in 2025 (with 114M units projected) and that by 2026, AI PCs will be the only choice for business laptop users. … Read More
Many of you are already familiar with Silicon Catalyst and the value it brings to semiconductor startups, the industry and the electronics industry at large. Silicon Catalyst is an organization that supports early-stage semiconductor startups with an ecosystem that provides tools and resources needed to design, create, and… Read More
The three-step conversational AI (CAI) process – automatic speech recognition (ASR), natural language processing, and text-to-synthesized speech response – is now deeply embedded in the user experience for smartphones, smart speakers, and other devices. More powerful large language models (LLMs) can answer more queries… Read More
Tis the season for transformer-centric articles apparently – this is my third within a month. Clearly this is a domain with both great opportunities and challenges: extending large language model (LLM) potential to new edge products and revenue opportunities, with unbounded applications and volumes yet challenges in meeting… Read More
Support for AI at the edge has prompted a good deal of innovation in accelerators, initially in CNNs, evolving to DNNs and RNNs (convolutional neural nets, deep neural nets, and recurrent neural nets). Most recently, the transformer technology behind the craze in large language models is proving to have important relevance at… Read More
