
Explore intelligent systems, social engineering, and visualization with expert panels, plus a unique theremin concert. Dive into cutting-edge topics with leading thinkers and innovators.

Професор Сотиров разкрива как изкуственият интелект и високите технологии се развиват в крайморски град, споделяйки опита си като учен и иноватор в Бургас.

Explore techniques for attacking and defending AI systems, focusing on security vulnerabilities and protective measures in machine learning applications.

Professor Mike Wooldridge explores the nature of artificial intelligence through experiments and demonstrations, investigating how AI learns and what it can do in this Royal Institution Christmas Lecture.

Panel discussion on cluster management's future with experts from Netflix, Yelp, Twitter, and Uber. Insights on open source, challenges, workloads, improvements, and intelligence in large-scale distributed systems.

Professor Mike Wooldridge explores the nature of artificial intelligence through experiments and demonstrations, investigating how AI learns and what it can do in this Royal Institution Christmas Lecture.

Explore neural networks' potential in algorithmic computation, from toy experiments to groundbreaking applications in mathematics and AI reasoning, with insights on their transformative impact on machine learning and computer science.

Explores design strategies for intelligent agents that collaborate with users, enhancing personalized experiences through partnership-building and cooperative learning in adaptive services.

Explore techniques for creating smart, responsive web applications that enhance user experience and streamline functionality.

Explore techniques for creating smart, responsive web applications that enhance user experience and streamline functionality.

Explore the Cyber-Physical Metaverse concept, bridging real and virtual worlds through Digital Twins. Learn about evolving technologies, standardized interfaces, and their impact on intelligent systems and automated driving.

Explore advanced AI systems using MoE, multimodality, and agent crowds. Learn techniques for building composite intelligent systems beyond single algorithms or models.

Explore fault estimation in automation, blending model-based approaches with data-driven analytics. Learn about applications in lateral safety systems for automated vehicles.

Explore how prior knowledge influences learning and inference in intelligent systems, from human cognition to AI, with insights on improving behavioral robustness in deep networks.

Explore algorithmic alignment in neural networks, its implications for architecture design, and its potential for building future intelligent systems.