Knowledge Hub

IMVC Webinar Series - AI Agent from Prototype to Production

The second webinar in the IMVC Webinar Series took place on October 20. Leading up to our annual event, IMVC 2026 , we hosted Shir Meir Lador, AI Leader and Evangelist at Google, for an engaging, hands-on session on AI Agents – from Prototype to Production. In this webinar, Shir Meir Lador demonstrates how to: Build and deploy a secure MCP server on Google Cloud Run Implement authentication for authorized agents Use the Agent Development Kit (ADK) to create and deploy AI agen

Deep Learning for Computer Vision course

SagivTech is proud to present a Deep Learning for Computer Vision course, in Hebrew and free of charge, following most of the content of the legendary course taught at Stanford by Prof. Fei-Fei Li. The final lecture of the course will review current work in the field of medical image processing. The course consists of 14 weekly sessions, each one hour long, delivered by Dr. Chen Sagiv, who has been teaching computer vision courses for more than 15 years. The course will take

IMVC Webinar Series - The Compression Paradox: Why AI and Humans See the World Differently

The first webinar in the IMVC Webinar Series took place with Dr. Ravid Shwartz-Ziv, Assistant Professor and Faculty Fellow at New York University (NYU), delivering a fascinating session on The Compression Paradox: Why AI and Humans See the World Differently. In this engaging talk, Dr. Shwartz-Ziv explored how foundation models achieve superhuman performance yet perceive the world differently from humans. Using information theory, he revealed a fundamental paradox: AI optimize

Classical Computer Vision - Summer School 2025

There’s no doubt that Deep Learning has changed the world and enabled amazing advancements. Still, understanding classic topics in image processing and computer vision—such as nonlinear filters, deblurring, SIFT, and FFT—is incredibly important! If you want to explore these foundational topics in computer vision—from the basics to the most advanced algorithms—join our Summer School starting this June! To register, click here If you would like to catch up on the previous lect