Episodes

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

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.

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 perfor...

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 ens...

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...

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 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.

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 episode of AI With Sally, hosted by EE Times’ Sally Ward-Foxton, Muneyb Minhazuddin discusses Ambarella's evolving go-to-market strategy, emphasizing the shift from a direct sales approach to a more collaborative model involving ISVs and system integrators. He highlights the role of AI in creating new market opportunities and the importance of simplifying application development through the DevZone and Agentic Blueprints. The discussion also covers the challenges and strategies in buildi...

In this episode, Sally sits down with analyst Jim McGregor at Nvidia’s GTC to talk about some of the biggest announcements from the show, including Groq, SpectrumX, NemoClaw, and more.

In this episode, Sally chats with Sakya Dasgupta, CEO of EdgeCortix, about the company’s reconfigurable dataflow architecture, their success in hard applications like space and aerospace, and what’s coming in EdgeCortix’ third generation hardware

After years of hype, RISC-V is hitting a moment of truth. In 2025 we’ve moved from experimentation to execution – we’ve seen big players make some bold acquisitions, while startups on the scene have been facing commercial realities. The question is really shifting from “What is RISC-V?” to “Who can actually make it work?” In this episode, we explore what’s driving that transition to execution, and what it means for AI applications.

Today, on Embedded Edge with Nitin, we’ll explore how advances in touch-based HMI can help optimize the form factor of smart glasses. Our guest is Viveesh Bharathan, Director of Product Marketing at Infineon Technologies. Viveesh specializes in touch HMI, a key technology that shapes how users interact with and experience smart glasses. In this episode, we’ll examine why touch interfaces play such a pivotal role in smart glasses design, what is changing in the underlying technology, and how the...

What if hardware adapted itself to your code instead of forcing developers to optimize for the hardware? In this episode of AI with Sally, Sally Ward-Foxton speaks with NextSilicon CEO Elad Raz about the company’s radically different approach to compute architecture: a runtime-reconfigurable processor designed to optimize itself while applications are running.

In this podcast, Lemurian Labs CEO Jay Dawani explains why system-level compilation, not faster chips alone, may determine the future of AI infrastructure.

In this podcast, Sally chats with Lightmatter CEO Nick Harris. As copper reaches its physical limits, Harris explains why photonics is moving from niche technology to AI infrastructure necessity, and why Lightmatter is expanding from optical interconnects into lasers to build the next generation of AI systems.

In this podcast, Tensordyne’s Gilles Backhus explains why the company abandoned conventional arithmetic in pursuit of dramatically more efficient AI inference with the logarithmic number system.

On Axelera's fifth anniversary, CEO Fabrizio del Maffeo discusses funding, talent, RISC-V, edge AI and why Europe needs to think bigger.

MIPS CEO Sameer Wasson explains why AI workloads should drive silicon design, and how MIPS, ARC and GlobalFoundries aim to lower the barriers to custom AI hardware.

In this podcast, Sally discusses how AI is lowering the barriers to finding security vulnerabilities, and how hardware could be the next frontier, with Arteris’ Andreas Kuehlmann.

In this podcast, Sally talks to Amir BarNiv, VP of Strategic Marketing for Automotive Ethernet at Infineon. As AI becomes an increasingly important part of the software defined vehicle, a different architecture is needed in the car. So what does the AI-powered vehicle actually look like—and why is the industry moving toward centralized computing and zonal architectures?

In this podcast, we chat with to Majestic Labs’ Sha Rabii about why AI's shift toward inference, long context, and agentic workloads could require a fundamentally different compute-memory architecture.

As AI clusters scale, network reliability is becoming critical. In this episode, Credo’s Don Barnetson explains to Sally why the company is pursuing a “wide and slow” optical architecture, how its 2D emitter arrays could deliver 100× scalability, and how Active Light Cables could bridge the gap between copper and optics.

In this episode, Sally talks to Manoj Koul about how workload-first, programmable platforms are reshaping compute for Physical AI.