
Hosted by AspenCore · EN

In this episode, Sally finds out more about Efficient Computer’s reconfigurable spatial dataflow fabric, and how the company is applying it in a very low power edge chip. Brandon Lucia, CEO of Efficient, said the Electron E1 can reconfigure itself for CPU, DSP, or AI workloads, and be performant for all.

In this podcast conversation, Sally chats with D-Matrix CEO Sid Sheth about test time scaling and what it means for the world of AI hardware.

Today's interview is brought to you by our partner, SiFive. We’re excited to have John Simpson, Senior Principal Architect at SiFive, as our guest. John is involved with the intelligence product line, which centers around RISC-V processor designs aimed at handling AI workloads for applications that span from edge devices to data centers.

In today’s episode, brought to you by Synaptics, we’re diving into a transformative change in Edge AI: the shift towards open, community-focused compiler technology. Synaptics, a frontrunner in embedded chip innovation, is taking a significant step by making its compiler toolchain open-source and encouraging developers around the globe to participate in shaping the future of on-device intelligence, in partnership with Google. Joining us is Dave Garrett, a pivotal figure in this initiative. We’ll discuss the motivations behind this decision, how we align models with hardware, the challenges of solely targeting peak performance metrics, and what implications this holds for developers, the Edge ecosystem, and the future of AI on devices.

In this session, we’ll explore how Infineon’s PSOC Edge is revolutionizing natural language processing (NLP) directly within ultra-low power embedded systems. With cutting-edge advancements in on-device AI acceleration, optimized memory hierarchies, and secure compute domains, PSOC Edge is enabling voice and language understanding at endpoints that previously relied on cloud inference. This breakthrough technology is driving real-time NLP with minimal latency and power consumption, all while ensuring data privacy at the edge.Joining us today is Omar Cruz from Infineon Technologies, who will unpack the technical innovations and system-side strategies behind this new generation of edge intelligence devices. Together, we’ll dive into how hardware-software co-design is enabling smarter, faster, and more secure speech interfaces for edge devices.

AI training courses are scaling to hundreds of thousands of GPUs and beyond, and the network is under pressure like never before. In this episode, Sally will speak with Don Barnetson, SVP of Product at Credo Semiconductor, about how reliability is crucial, given that crashing a training run can cost millions of dollars. Credo has spent nearly two decades developing some of the industry’s fastest SERDES and building active electrical cables or AECs to keep AI infrastructure running at peak performance. In this conversation, we’ll dig into the networking reliability issues that come with scaling AI, why reliability matters as much as bandwidth, and how Credo is taking on this problem with copper.

Smart homes and smart, connected devices have been a topic of discussion for over a decade. In this podcast, we will discuss five key disruptive trends that are coming your way in the next 2-4 years that will allow you to interact more intelligently with your smart home while enabling new use cases in home appliances and secured devices.

Sally Ward Foxton interviews Vishal Sarin, CEO & Founder of Sagence AI.

In this podcast, MIPS CEO Sameer Wasson tells Sally Ward-Foxton that while the IP company is moving towards compute subsystems and custom ASIC tools, it will not become a silicon company.