Increasingly, I find myself talking to people who say something like, “We have a 1-, 2-, 4-, or 8-core proof-of-concept AI chip that can—in the future—be scaled up to 1,000 cores.” But this is the first time I’ve been told, “We have a real-world 1,000-core AI chip that can—in the future—be scaled down to 1-, 2-, 4-, or 8-cores.”
… Read More → "Do You Want To Be An AI Plumber?"
We live in exciting times with respect to AI and the devices used to implement inferencing at the edge, where the “internet rubber” meets the “real-world road,” as it were.
It reminds me of those distant days in the 1970s when we were all “feeling our way” with 8-bit microprocessors. I’m thinking of devices like the Intel 8008 (1972), Intel 8080 (1974), Motorola 6800 (1974), MOS Technology 6502 (1975), Zilog … Read More → "Analog Neuromorphic Processors for ASICs/SoCs Offer Microwatt Edge AI"
We’re talking about CMOS-based MEMS sensors that are 1,000 times smaller than their traditional silicon-based MEMS counterparts, offering greater bandwidth and higher sensitivity, while also being more cost-effective and reliable. Seriously—what’s not to love?
I’ve just been chatting with Dr. Josep Montanyà, who, along with Dr. Marc Llamas, founded Nanusens</ … Read More → "Want Nano-Scale, CMOS-Based MEMS Sensors?"
This week my special podcast guest is Matthias Wagner, CEO of Flux! Mattias and I chat about why hardware innovation is more important now than ever before, Flux’s recent agentic AI updates and what the future looks like for this exciting browser-based PCB design tool. Also this week, I check out a new ultrasound controlled artificial muscle developed by a team of researchers from ETH Zurich.
& … Read More → "From Dreams to Reality: How Flux is Paving the Way for Ultimate Customization"