Why AI Needs to Move Beyond the Kernel
In this podcast, Lemurian Labs CEO Jay Dawani explains why system-level compilation, not faster chips alone, may determine the future of AI infrastructure.
Episodes
39
Latest episode
Jun 2026
Language
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.
In this podcast, Lemurian Labs CEO Jay Dawani explains why system-level compilation, not faster chips alone, may determine the future of AI infrastructure.
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.
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 these developments can enable slimmer, more practical form factors.
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.
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
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 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.
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.
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