tinyML Talks: Developing TinyML Applications for the Real-World

We are excited to welcome you to UK in-person kick-off meetup at Makespace Classroom (Exclusive Use)
Address: 16 Mill Lane, Cambridge, CB2 1RX · Cambridge

Join the hosts Alessandro Grande, Director of Product at Edge Impulse and Dominic Binks, VP Technology at Audio Analytic for an introduction to TinyML alongside some of the most interesting use cases.

After a year of successful online sessions, this is the first in-person event in the UK. The tinyML UK chapter has been built on the successes of the tinyML meetup groups in the US and around the world, offering the opportunity for members of the machine learning and embedded software communities to share ideas and network.

What is the purpose?
To spread the word and educate the industry on “tinyML” (broadly defined as machine learning architectures, devices, techniques, tools and approaches capable of performing on-device analytics for a variety of sensing modalities–vision, audio, motion, environmental, human health monitoring etc.) at “mW” or below power range targeting predominately battery operated devices. The tinyML meetup group is an informal monthly gathering of researchers and practitioners working on various aspects of machine learning technologies (hardware-algorithms/networks- software-application) at the extreme low-power regime to share latest developments in this fast growing field and promote collaborations throughout the ecosystem. The format will be presentations with Q&A followed by networking.

Who should join?
Experts in machine learning technologies at the edge, especially in the low power battery operated regime. This includes hardware architects, software engineers, systems engineers, ASIC designers, algorithms and application developers, low power sensor providers and end users. “Newbees”, i.e. people interested in joining this field and getting up to speed by listening to state-of-the-art presentations and interacting with established players are very welcome to join too, both from the industry and the academia.


April 6, 2022



Contact us


Timezone: PST

Developing TinyML Applications for the Real-World

Alessandro GRANDE, Head of Product

Edge Impulse

Dominic BINKS, VP of Technology

Audio Analytic

Alessandro GRANDE, Head of Product

Edge Impulse

Alessandro is an experienced technologist who loves to combine his science and engineering expertise with a passion for innovation to create technologies that prioritize human needs and drive positive change in the world. With his background as a developer evangelist and ecosystem manager at Arm, he has gained invaluable insights into the needs and challenges of users in the IoT and edge AI space.

Now, as Head of Product at Edge Impulse, Alessandro is committed to empowering cross-functional teams to deliver an innovative product that meets customer needs and pushes the boundaries of what’s deemed possible.

Alessandro holds a Master’s degree in Nuclear Physics from “La Sapienza” University of Rome. His passion for innovation and connecting individuals has also led him to serve as the chair of the 2023 TinyML EMEA Innovation Forum, where he strives to provide a platform for individuals with a shared passion for innovation in the field of tinyML to connect and drive the industry forward together.

Dominic BINKS, VP of Technology

Audio Analytic

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.

Schedule subject to change without notice.