tinyML EMEA Innovation Forum 2023
 | tinyML EMEA Innovation Forum 2023 Go to the tinyML Foundation website and register here. |
Sensors and actuators with their resource-constrained processing and connectivity functions, are scaling across a wide variety of application areas: industrial, medical and healthcare, transportation, consumer and personal devices, urban management, and robotics.
Today, sensors are generating an unprecedented amount of information, and sending data to the cloud as raw data for centralized intelligent processing requires a lot of energy. For a more sustainable future, the solution is to distribute and deploy tiny Machine Learning techniques at the sensor and actuation level.
tinyML is a fast-growing field of Machine Learning technologies and applications. It includes tools, hardware, algorithms, and software capable of performing on-device sensor data analytics using extremely low power, enabling many always-on use cases and targeting battery-operated devices.
To address these applications, the tinyML community, which began in 2018, now includes several hundreds of companies and universities across the world. Together we are developing Machine Learning algorithms, architectures, techniques, tools, and system approaches enabling on-device analytics for a variety of sensors (vision, audio, motion, environment, chemical, and more) at a power range below the mW level required for always-on and battery-operated devices.
Since 2019, STMicroelectronics has been actively contributing to the tinyML community and continues to provide outstanding support as a Strategic Partner and Gold Sponsor. This year again, ST joins the EMEA Forum with:
- A keynote by Lisa Trollo, Artificial Intelligence Strategy, STMicroelectronics
- A paper presentation by Valeria Tomaselli – Artificial Intelligence Project Leader– STMicroelectronics
- A technical presentation by Marco Lattuada - Artificial Intelligence Tool Engineer - STMicroelectronics
- Two scientific posters
- Three demos:
- Anomaly detection with NanoEdge AI
- Self-learning ISPU for your sport - with one sensor
- STM32 Cube.AI Developer Cloud
Join us and contribute to the development of tiny Machine Learning! Conference agenda – where to find us at tinyML EMEA – ST sessions
| date | Time (CET) | Title | Speakers |
| 26 June | From 10:30 | Paper Presentation An Embedded EOG-based BCI System for Robotic Control | Valeria Tomaselli ST pesenter |
| 27 June | 9:05 | Keynote Smart, open and accurate: sensors in the Sustainable Onlife era | Lisa Trollo ST presenter |
| 27 June | 3:15 | Technical presentation Exploiting forward-forward based algorithm for training on device | Marco Lattuada ST presenter |
| 26 June | 11:20-12:30 4:50-5:50 | Poster sessions Face Recognition with binary neural network All on-device anomaly detection in NanoEdge AI Studio | Simone Moro ST presenter He Huang ST presenter |
| 27 June | 12:10-12:30 4:10-5:00 | Poster sessions Face Recognition with binary neural network All on-device anomaly detection in NanoEdge AI Studio | Simone Moro ST presenter He Huang ST presenter |
