Podcast
AI with Sally Ward-Foxton
Hosted by AspenCore · EN
AI with Sally Ward-Foxton presents a variety of deeply technical, but concisely explained topics covering cutting-edge AI accelerator chips, software, systems, algorithms, neural networks, companies and many other subjects related to artificial intelligence and machine learning as it affects the semiconductor industry.
14episodes
Episodes
Newest firstAll episodes
Redefining Touch HMI to Optimize Form Factor in Smart Glasses
3w ago00:20:50Tap to summarizeToday, 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 these developments can enable slimmer, more practical form factors.
Transcribe →RISC-V: From Experimentation to Execution
Apr 1000:47:58Tap to summarizeAfter 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.
Transcribe →EdgeCortix Looks To Chiplets For Third-Gen Reconfigurable AI Chip
Mar 2700:51:01Tap to summarizeIn 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
Transcribe →GTC Review: NemoClaw, Groq, and SpectrumX
Mar 2000:22:11Tap to summarizeIn 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.
Transcribe →Ambarella Evolves AI Go-To-Market Strategy
Feb 2700:47:58Tap to summarizeIn 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 building partnerships, understanding value realization in vertical markets, and the anticipated impact of these changes on Ambarella's growth and market presence.
Transcribe →Reimagining CPU, DSP and AI With a Reconfigurable Dataflow Architecture
Feb 1300:46:58Tap to summarizeIn 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.
Transcribe →D-Matrix CEO Sid Sheth on AI Test Time Scaling
Jan 2300:32:54Tap to summarizeIn 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.
Transcribe →Scaling AI from Edge to Data Center with RISC-V Vectors
Jan 900:46:47Tap to summarizeToday'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.
Transcribe →Inside Synaptics’ Decision To Open-Source Its AI Compiler
Nov 2100:28:51Tap to summarizeIn 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.
Transcribe →AI Revolutionises Speech Interfaces for Edge Devices
Nov 1400:31:44Tap to summarizeIn 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.
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