AI with Sally Ward-Foxton

In this podcast, Sally talks to Lemurian Labs CEO Jay Dawani about closing the gap between supply and demand for AI compute using hardware, software and model efficiencies. 

In this podcast, Sally chats with SensiML CEO Chris Rogers about the state of TinyML today and the company’s decision to open source a big chunk of its TinyML toolchain.

In this podcast, Sally chats with Untether’s Bob Beachler about the company’s automotive roadmap, the demand for AI in automotive, AI workloads in the car and the dawn of automotive chiplets. 

In this episode, Sally chats with Sima.ai CEO Krishna Rangasayee about the company’s software-centric approach, the company’s SoC with homegrown AI accelerator, and why they rely on Arm cores ahead of RISC-V.

In this podcast, Sally talks to Winbond’s Omar Ma to find out about CUBE, the company’s 3D-packaged memory concept that puts the memory die in the middle of the sandwich, rather than on top.

In this podcast, Sally interviews BrainChip CMO Nandan Nayampally about the company's second-generation architecture for spiking neural network acceleration, which now includes hardware support for transformer networks like ViT.

In this podcast, Sally chats to Qualcomm's Vinesh Sukumar about the company's demos of generative AI running on Snapdragon mobile phone processors and the future of generative AI at the edge, as well as some of the tricks up Snapdragon's sleeve for AI acceleration.

In this podcast, Sally speaks to SambaNova CEO Rodrigo Liang about how the success of ChatGPT and other LLMs is impacting businesses, what this means for compute democratization and open-source approaches, and how big LLMs can get.   

In this podcast episode , Sally speaks to SynSense’s Dylan Muir about the company’s design win for its neuromorphic processor in a toy robot that recognises gestures, the company’s two processors and the differences between them, as well as the synergies between dynamic vision sensor cameras and neuromorphic processors.

In this podcast, Sally speaks to Silicon Labs' Matt Maupin and Dan Kozin about the company's wireless IoT chips with AI acceleration, what use cases need this capability, how the accelerator fits into the device's deep sleep modes, and how AI works with the company's software stack. 

In this episode, Sally speaks with NXP’s director of AI, Ali Ors, about the decision to move to in-house IP for NPUs in NXP’s microcontroller and application processor lines. We also discuss NXP’s NPU roadmap, software stack, and new AI model watermarking feature.  

On this podcast: One of event-based vision’s founding fathers, a sneak preview of GrAI Matter Labs’ image processing AI chip, and Perceive’s Steve Teig on a new way to compress activations

On this podcast: GPU giants battle it out, plus a conversation with SiFive’s Chris Lattner on developing AI chips software-first.

On this podcast: a recap of the keynotes from our AI Everywhere conference, plus a conversation with Cerebras CEO Andrew Feldman on brain-sized AI, algorithmic bias, and more

A roundup of some big data center AI chips from Hot Chips, plus an interview with Synopsys CEO on chips designed by AI

Artificial Intelligence: In this pilot episode of the AI podcast, we ask: Why is recognising sounds so hard? Could we build an artificial brain out of chips? And what has Graphcore been up to lately?