In an industry accustomed to incremental change, Veloce CS is a departure because it is a complete three-in-one system, a development that Ron Wilson, a longtime technology editor, explores with Brunet in this 2-part blog.
Wilson: How do you describe the Veloce CS system?
Brunet: The Veloce CS system is architected for congruency, speed and modularity and supports design sizes from 40-million gates to designs integrating more than 40+ billion gates. It executes full system workloads with elevated visibility and congruency, enabling teams to select the right tool for a task’s unique requirements for faster time to project completion and decreased cost per verification cycle.
Wilson: Why now?
Brunet: We recognized the discontinuity triggered by the convergence of AI-related hardware, software defined product, new process technology and the emergence of chiplet-based systems. We responded by developing three economical, scalable systems that directly address the needs of design teams. Our goal with the Veloce CS system is to be the instrument to create the next-generation advanced ICs and multi-die modules bringing new levels of productivity to design teams and new levels design and schedule integrity. We envision a new value proposition for IC vendors, IP houses or systems developers who will transform these advanced IC designs into earnings growth.
At this year’s Google I/O, the electrifying atmosphere was palpable as Google unveiled its latest triumph in artificial intelligence—the Gemini project. This year’s keynote, delivered by Sundar Pichai amidst rousing applause, emphasized Google’s relentless drive to refine and enhance AI capabilities, pushing the boundaries of what technology can achieve in our daily lives.
The conference kicked off with a spirited recap of the year’s achievements and a peek into the “Gemini era,” a bold new phase in Google’s AI development. The introduction of Gemini, a model designed from the ground up to be natively multimodal, capable of processing and integrating text, images, video, and more, marks a significant leap forward. This model is not just an incremental update; it’s a transformational shift that promises to redefine how we interact with technology.
In a demonstration of its prowess, Google revealed that Gemini can handle complex, multimodal tasks with ease, showcasing examples from various Google ecosystems such as Search, Photos, and Android. For instance, the newly enhanced Google Photos now utilizes Gemini to allow users to interact with their photos in revolutionary ways—like asking the app to recall specific details from images without manually searching.
One of the most exciting announcements was the expansion of Gemini’s capabilities into consumer products. Now integrated across Google’s suite of applications, Gemini’s reach extends into everyday use, making advanced AI tools accessible to everyone. The introduction of Gemini Advanced and the announcement of its availability on mobile platforms underscore Google’s commitment to democratizing AI technology.
