Mission AI – Ethics, Sentience and the Future of Artificial Intelligence
by Amelia Dalton
Is AI the new electricity? What is the role of AI in disinformation and misinformation? How do we survive and thrive through the AI Revolution? In this week’s podcast, I investigate all of this and more with author, founder of the Next Wave Institute and AI expert Peter Scott. Peter and I also examine Google’s LaMDA research, the motivation to write his book Artificial Intelligence and You” and why Peter believes that AI is like the parable of the blind men and the elephant.
Join us for a CadenceTECHTALK (aka webinar) to learn how the upcoming release of Fidelity CFD software significantly extends the capabilities of our pre-processing and unstructured meshing solutions. We'll demonstrate: Better performance for large geometry models Improve...
Learn how analog and mixed-signal (AMS) verification technology, which we developed as part of DARPA's POSH and ERI programs, emulates analog designs.
The post What's Driving the World's First Analog and Mixed-Signal Emulation Technology? appeared first on From Silicon To So...
Long gone are the days where engineers imported text-based reports into spreadsheets and sorted the columns to extract useful information. Introducing the Cadence Joint Enterprise Data and AI (JedAI) platform created from the ground up for EDA data such as waveforms, workflows, RTL netlists, and more. Using Cadence JedAI, engineering teams can visualize the data and trends and implement practical design strategies across the entire SoC design for improved productivity and quality of results.
Developing new FPGA and ASIC designs involves implementing new algorithms, which presents challenges for verification for algorithm developers, hardware designers, and verification engineers. This eBook explores different aspects of hardware design verification and how you can use MATLAB and Simulink to reduce development effort and improve the quality of end products.
Machine learning at the TinyEdge is the way of the future but how we incorporate machine learning into our designs can take a variety of different forms. In this episode of Chalk Talk, Amelia chats with Dan Kozin from Silicon Labs about how you can add machine learning to your next design. They investigate what machine learning workflows look like, what machine learning tools you can utilize and the key challenges you will encounter as a machine learning developer.