Azərbaycan Respublikasının Gənclər Fondunun təşkilatçılığı ilə “İmkanlar sənə doğru!” şüarı ilə keçirilən "Səyyar Gənclər Xidməti" layihəsinin Ağdaş rayonunda açılış mərasimi keçirilib.
Açılış mərasimində "INNOLAND" İnkubasiya və Akselerasiya mərkəzi öz stendi ilə təmsil olunub. Mərkəzin və rezident startapların məhsullarından ibarət stend rəsmilərə, tədbir iştirakçılarına, qonaqlara təqdim olunub.
Polygraf AI, which has grown through INNOLAND, has achieved a remarkable success!
Selected as the winner of the “Road to TechCrunch Battlefield 200” competition organized by the Silkroad Innovation Center, Polygraf AI stood out among more than 400 startups from Central Asia, the Caucasus, and Turkey, earning a direct ticket to the TechCrunch 2025 finals!
This achievement continues the company’s streak of successes. Previously, Polygraf AI had also won the SXSW Pitch and SummerFest Tech competitions held in the USA.
The platform protects organizations’ data security, detects deepfake audio and fake content, and prevents confidential information from leaking into AI tools.
We sincerely congratulate the team and wish them even greater victories in the future!
The second training session was held as part of the “RoboCode III” robotics coding camp.
During the session titled “Analysis of ROS2 Node and Topic Structure and Practical Implementation,” participants explored the logic of nodes in ROS2, message flow management through topics, and the working principles of the publisher–subscriber model through practical examples.
Throughout the training, participants worked on message transmission and building internal communication processes within the system based on real-world scenarios. They gained both a solid theoretical foundation and deeper understanding by applying their knowledge directly in code.
The “Introduction to Data Science and Machine Learning” bootcamp continues!
On September 29, as part of the bootcamp organized in collaboration with INNOLAND and Turkey’s innovative education and technology company MIUUL, a session on “Python Programming for Data Science” was held.
During the session, participants analyzed tasks and quiz results, had their questions answered, and discussed their understanding of the material.