tinyML Talks on April 27, 2022 “TinyML UK in-person event @ Rasperry Pi Store, Cambridge”

We held our next tinyML Talks webcast. Dominic Binks, Gian Marco Iodice and Alasdair Allan presented at TinyML UK in-person event @ Rasperry Pi Store, Cambridge on April 27, 2022.


Date: 27th April 2022
Time: 17:30 (doors open around 17:15)
Location: Raspberry Pi Store, Grand Arcade, Cambridge

  • Introduction to Raspberry Pi Ltd (Alasdair Allan)
  • TinyML Overview and TinyML Foundation (Dominic Binks)
  • “Reflections on building a business deploying tinyML” (Dominic Binks)
  • “Doing tinyML on Raspberry Pi Pico” (Gian Marco Iodice)
  • TinyML Pitches
  • Pitch a product, idea, project, notion – 5 minutes (open to all comers)
  • Q&A/Networking


  • Signup required – the venue has a 25 person capacity limit
  • The Raspberry Pi store will be operating so it’s possible to buy kits (there are limits on some products due to the silicon supply issues though)

Dr Dominic Binks was previously a Staff Engineer at Qualcomm working in a variety of different software roles prior to joining Audio Analytic. At Qualcomm in Cambridge, he worked on mShop, a BREW-based shopping application and Vuforia, Qualcomm’s cross-platform augmented reality SDK. In addition, Dominic spent time in San Diego working on Qualcomm’s core Android porting team with responsibility for the build and release team. Prior to Qualcomm, Dominic worked in technical presales at SavaJe, Android’s forerunner. Before joining SavaJe Dominic worked as a technical consultant at Scientific Generics (now Sagentia) and prior to this, he worked on pre-paid calling platforms deployed to a number of mobile operators worldwide. Dominic’s PhD investigated techniques for automating fault finding (debugging) in pieces of software.

Gian Marco Iodice is the team and tech lead in the Machine Learning Group at Arm, for the Arm Compute Library project. Gian Marco was behind the development of the Arm Compute Library from the very beginning, and with several years of experience in the field of development and optimization of machine learning and computer vision on embedded devices, Gian Marco is now leading the ML performance optimization software team on Arm Mali GPUs and Arm Cortex-A CPUs. He received the MSc degree, with honours, in electronic engineering from the University of Pisa (Italy) where he specialized in SW/HW Co-design. In the last few years, Gian Marco has been a frequent speaker at Embedded Vision Summit where he presented optimization techniques and design solutions for CNNs.

Alasdair Allan is a scientist, author, hacker, maker, and journalist. He currently works for Raspberry Pi, and is the person responsible for their technical documentation, and led the effort to document the first Raspberry Silicon.

An expert on the Internet of Things and sensor systems, he’s known for benchmarking the new generation of Tiny ML accelerator hardware, and for hacking hotel radios. He also caused one of the first big mobile privacy scandals, which eventually became known as “locationgate”.

In the past he has worked as a consultant and journalist, focusing on open hardware, machine learning, big data, and emerging technologies — with expertise in programming, electronics, and especially wireless devices and distributed sensor networks. He has written eleven books, and writes regularly for Hackster.io and other outlets.

A former astronomer, he built a peer-to-peer network of telescopes that, acting autonomously, reactively scheduled observations of time-critical events. Notable successes included contributing to the detection of what—at the time—was the most distant object yet discovered in the Universe.


Feel free to ask your questions on this thread and keep the conversation going!