#307 Steven Brightfield: How Neuromorphic Computing Cuts Inference Power by 10x

So neuromorphic is really how our biology does computations in our brain. So we don't have circuits. We have neurons, biological neurons, and they're highly connected to other neurons, and they communicate to each other with pulses. We might call them spikes. So you see a spike of signal go from one neuron to the next. And if that spike is strong enough with other spikes coming into that same neuron, that triggers that neuron to spike down stream. So it's a sequence of each neuron is getting spikes inputs and deciding whether it spikes the output. So it's a kinda simple concept, but but you put a billion of those together and and connect them all together, and you have really what the brain is. We're augmenting our business model so our customers can see the value of our IP before they make the risky decision to go and integrate it into a chip development that might cost them tens of millions of dollars. Build the future of multi agent software with Agency. That's a g n t c y. Now an open source Linux Foundation project, Agency is building the Internet of agents, a collaborative layer where AI agents can discover, connect, and work across any framework. All the pieces engineers need to deploy multi agent systems now belong to everyone who builds on agency, including robust identity and access management that ensures every agent is authenticated and trusted before interacting. Agency also provides open standardized tools for agent discovery, seamless protocols for agent to agent communication, and modular components for scalable workflows. Collaborate with developers from Cisco, Dell Technologies, Google Cloud, Oracle, Red Hat, and more than 75 other supporting companies to build next generation AI infrastructure together. Agency is dropping code, specs and services, no strings attached. Visit agency.org to contribute. That's agntcy.org. Hi. I'm Steve Brightfield. I'm the chief marketing officer of BrainChip, and my background has been in the semiconductor business for, three decades plus now. I was trained as a electrical engineer, Midwest Purdue, and I went off and was focused by the first, two thirds of my career on designing digital signal processors into semiconductors and solving use case problems in, a a from consumer to military use cases with digital signal processors. I I worked at, you know, a lot of large semiconductor companies, but my longest stint was at Qualcomm. And at Qualcomm, I, worked to launch the their first smartphone chip. And it's always interesting. I was in product management at the time is is that you never know what product is gonna be successful in the future, and there was a lot of debate and arguments about why would we wanna build a smartphone chip because nobody's gonna wanna watch videos on their phone. And, you know, my phone makes good calls right now. So we fought with the management and we launched that product, and, of course, you know, everyone's got one in their pocket today. And …