News & Announcements

Poster at 3rd EFCL International Workshop on Sustainable AI, ETH Zürich

Presented a poster at the 3rd EFCL International Workshop on Sustainable AI at ETH Zürich, bringing together researchers and industry experts on efficient, scalable, and responsible AI systems.

TinyGLASS Presented at IEEE AICAS 2026 in Ha Long Bay, Vietnam

Presented our work on TinyGLASS, a real-time self-supervised in-sensor anomaly detection system, at the 8th IEEE International Conference on AI Circuits and Systems (AICAS) in Ha Long Bay, Vietnam.

Presented at YC Startup School 2026 in San Francisco

Selected to attend Y Combinator's Startup School 2026 in San Francisco (July 25–26), a gathering of the world's most promising builders and founders.

Poster at the International Computer Vision Summer School (ICVSS) 2026

Selected to attend the 20th edition of the International Computer Vision Summer School (ICVSS 2026) in Sicily, Italy (July 5–11), themed 'Computer Vision for Spatial and Physical Intelligence'.

ETH Kite Award 2026

Our team won the ETH Kite Award 2026 for the embedded systems course.

World Economic Forum 2026 at the USA House, Davos

Attended the World Economic Forum Annual Meeting 2026 in Davos, Switzerland (January 19–23), representing the ETH Zürich startup ecosystem at the USA House.

Outstanding Lecture Award IEEE Sensors 2025

Received the Outstanding Lecture Award at IEEE Sensors 2025 in Vancouver for our presentation on in-sensing image segmentation.

G-Research ETH Zürich Quant Challenge Winner 2025

Our team won the G-Research Quant Challenge at ETH Zürich, a quantitative finance competition focused on cointegration-based trading strategies tested on real-world datasets.

Best PBL Semester Thesis Award 2025 – PicoSAM2 Image Segmentation

Stefan Zihlmann, one of my students, was awarded for outstanding work on PicoSAM2, a low-latency segmentation system running directly on the Sony IMX500 camera sensor.

Best Paper Award on Event-Based Eye Tracking on STM32N6 at IWASI 2025

At IEEE's Workshop on Advanced Sensors & Interfaces in Puglia, our research on event-based eye tracking using the STM32N6 was awarded Best Paper.

Low-Latency FPGA Collision Avoidance with Event Cameras – CVPR 2025

We'll be presenting our FPGA-accelerated obstacle avoidance system using event cameras at the EventVision Workshop during CVPR 2025.

Invited to Showcase Smart Glasses Across China

Spent 10 days touring Jiangsu, Zhejiang, and Tianjin, unveiling our smart-glasses work and exploring innovation clusters across China's Yangtze River Region.

On-Device Object Detection at ECCV Workshop, Milan

Thrilled that our smart glasses object detection work has been accepted for presentation at ICVSE during ECCV 2024 in Milan.

New Dataset & System for Event-Based Eye Tracking at CVPR '24

Proud to introduce Retina, our novel event-based eye tracking system and open dataset, at the 1st Workshop on AI for Streaming at CVPR 2024.

Q-Segment Accepted at AICAS Conference in Abu Dhabi (UAE)

Our paper was selected for oral presentation at the 6th IEEE AICAS, held at Khalifa University in Abu Dhabi.

Joining EF 2024 Cohort in London (UK) to Refine Entrepreneurial Skills

Thrilled to be joining the EF 2024 Cohort! I'll be learning valuable skills to validate entrepreneurial ideas and test co-founder partnerships.

Great Reviews from Anthropic's CEO on our Smart Glass Preprint

Anthropic's CEO discussed TinyissimoYOLO on ImportAI (Jack Clark's newsletter). We'll keep working on the final system to open source hardware and software!

Positive Analysis of TinyTracker in ML News

Great to see Nick Bild's insightful analysis of TinyTracker featured on Hackster.io!

Hardware Innovation Grant from InnovationNetwork.ch

Excited to announce we received a 2k Fr. Grant from InnovationNetwork.ch!

Featured in the Nova Talent Italian List 2022

Honored to be invited to the Gala organized by Bocconi University for being included in the Nova Talent Italian List 2022 for Computer Science.

Few-Shot Point Cloud Reconstruction and Denoising

Excited to share my work on few-shot point cloud reconstruction and denoising using learned Gaussian splats and fine-tuned diffusion features, part of the Robotics & Perception Group (UZH) and Google Inc.

3D Scene Generation from Scene Graphs

Proud to present our project on 3D scene generation from scene graphs and self-attention, developed with the Robotics & Perception Group (UZH) and Google Inc.