In-person event

EDGE AI London 2026

June 7-9, 2026 in London, UK

Shaping the future of edge AI technologies.

5+ Experts. on site.

5 Hands-on. demos.

5 Presentations. sharing practical insights.

The definitive edge AI event for Europe

From physical AI to tinyML, see how edge AI is already running in real systems, and what it takes to scale it.

Explore the agenda below and choose the sessions you want to attend.

Leading the way: expert panels, presentations, workshops, fireside chats, and posters

8 June | Fireside chat

10.00 AM

Real-world scaling of edge AI," moving from "cool tech demos" to real business value and ROI

Speaker

Dr. Matthieu Durnerin | AI Solutions R&D Technical Director & ST Fellow

8 June | Workshop hosted by Avnet, STMicroelectronics, Farnell, and EBV Elektronik

2.30 PM

Accelerate your AIoT adoption with /IOTCONNECT™ and AIoT Craft

Speaker

Alberto Villa | Senior Software Engineer

8 June | Presentation

2.30 PM

QScheduler: adaptive gradient sampling for zeroth-order on-device training on INT8 NPUs

Speaker

Victor Domingues Do Amaral | AI Research Engineer

8 June | Poster presentation

10.00 AM

BlazePoser, a unified and ultra optimized joint face detection and head pose estimation neural network

Speaker

Simone Moro | AI Research Senior Advisor

9 June | Chairman

11.00 AM

Panel: Full stack sovereignty in the age of physical AI

Chairman

Valeria Tomaselli | Software Design Senior Team Leader

What can you do with edge AI? Explore our demos.

Detect impacts in real-time with a smart helmet

Capture motion data with an intelligent IMU and process it on-device to detect potential concussions, even in demanding environments.

Train AI models directly on the device

Use STM32N6 NPU to run on-device learning with a zeroth-order optimization approach, updating models locally without cloud dependency.

Measure attention levels in real time

Analyze video streams on STM32N6 using multiple AI models to estimate attention levels from facial and behavioral signals.

Run an offline chatbot directly on your MCU

Deploy embedded real-time NLU on MCU, enabling an offline chatbot for refrigerators powered by an 11.1M-parameter BERT-mini model.

Adam's hand - holoscan sensor bridge integration

A robotic hand from BIONIT based on an STM32 MCU and ST IMU, enabled for finger movement control and real-time IMU sensor data streaming directly on NVIDIA Jetson platform.

Register for EDGE AI London

Join ST at the 2026 EDGE AI London and discover our latest innovations in edge AI.

07 - 09 Jun, 2026

London, UK

Get your pass

The Pullman

100-110 Euston Road, London NW1 2AJ, UK

Get your pass

Register for EDGE AI London

Join ST at the 2026 EDGE AI London and discover our latest innovations in edge AI.

07 - 09 Jun, 2026

London, UK

Get your pass

EDGE AI London 2026

The definitive edge AI event for Europe

The definitive edge AI event for Europe

Speaking opportunities

Real-world scaling of edge AI," moving from "cool tech demos" to real business value and ROI

Accelerate your AIoT adoption with /IOTCONNECT™ and AIoT Craft

QScheduler: adaptive gradient sampling for zeroth-order on-device training on INT8 NPUs

BlazePoser, a unified and ultra optimized joint face detection and head pose estimation neural network

Panel: Full stack sovereignty in the age of physical AI

What can you do with edge AI? Explore our demos.

Detect impacts in real-time with a smart helmet

Train AI models directly on the device

Measure attention levels in real time

Run an offline chatbot directly on your MCU

Adam's hand - holoscan sensor bridge integration

Register for EDGE AI London

Register for EDGE AI London

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