DSC Europe 24 SCHEDULE

Description:   AI is orchestrating a new era in music, blending creativity with technology in ways we’ve never imagined. In this session, we’ll begin by exploring how AI-generated content is evolving, and how close we are to making it indistinguishable from human-created music. As we look deeper, we’ll see how AI is not just enhancing creativity but also transforming the entire music industry—from marketing strategies to understanding audience behavior and predicting the next big hit.

The spotlight will then turn to the technical side of AI’s influence on music, diving into the creation of custom neural network architectures for challenges like music source separation. This session will also reveal how the technology behind autonomous trucks is quietly reshaping the music industry in the logistics of concerts and live events.

As we move from theory to application, we’ll uncover how AI is not just composing music, but revolutionizing the entire business model behind it, helping artists and businesses alike thrive in an era where data and creativity intersect. Join us for an engaging exploration of the future of music, where AI is the new maestro, conducting a symphony of innovation.

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12:00 – 12:15   Fool me once, shame on you; fool me twice, shame on AI

Bojan Banjac
Assistant Professor @ Faculty of Technical Sciences

We are constantly exposed to images, music and text generated by AI. Yet, they are often easy to spot as not real. Let us talk about how to make them even more convincing. Methods vary from data preparation techniques to post-processing and even some new ideas for future directions. Part of lecture is determining how well we actually detect generated content. After all, who wouldn’t like to be fooled by smart AI.

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12:15 – 12:30   Creating specialized AI tools for music production & education

Stipe Kabic
Machine Learning Engineer @ Atomic Intelligence

Applications of AI in music are a hot topic of research, with a lot of attention being given to large generative AI models able to create realistic music. Another kind of research is being done in smaller labs and companies, focusing on creating useful AI tools for musicians and producers, striving to help them rather than replace them. In such research lots of focus is on model efficiency and speed, as well as creating a quality user experience for music practicioners. In this talk we will discuss the process of creating such models with a focus on music source separation, and demonstrate our AI platform for music learning and production.

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12:30 – 12:45   The Symphony of AI and Music: Composing Tomorrow’s Hits with Data-Driven Creativity

Suren Movsisyan
Founder, CTO @ Aigorithm | CMO @ Revolve Games | Tech Lead @ Bitcoin Center NYC

What happens when artificial intelligence becomes the composer? In this engaging keynote, Dr. Suren Movsisyan—an innovator at the crossroads of AI, blockchain, and web3 metaverse technologies—explores the convergence of data science, NFTs, and music creation. From AI-generated albums to fully immersive metaverse concerts, learn how data, machine learning, blockchain, and algorithms are rewriting the rules of creativity. Get insights into how artists and businesses can leverage these cutting-edge tools to create personalized musical experiences, unlock new revenue streams, and redefine the future of the music industry. This is not just the next chapter in music, it’s a symphony of innovation, powered by AI.

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12:45 – 13:00   The Beat of Data: AI-Driven Innovation in Music Production

Maksim Kariagin
Ex Director of Research and Analysis @ Warner Music Group

Discover how AI and advanced analytics are transforming decision-making in the music industry! This presentation dives into the practical use of AI to enhance strategic planning and optimize marketing efforts. Learn how data-driven insights are shaping decisions that allow music labels to stay competitive and creative in a fast-evolving environment. Through real-world examples and a case study on AI-powered planning, you’ll see how technology is driving innovation and unlocking new opportunities in the industry.

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13:00 – 14:00   Panel duscussion

Description:   Autonomous driving is not just about cars learning to drive themselves; it’s about AI reshaping the future of transportation and how we interact with it. In this session, we’ll begin by exploring the broader challenges and opportunities that AI faces in autonomous driving—from interpreting human behavior to navigating complex environments. These obstacles also open doors for innovations that will transform the automotive industry and society as a whole.

Next, we’ll dive into the critical role of edge computing in enabling real-time decision-making in autonomous vehicles. When split-second choices are the difference between safety and danger, understanding how data engineering works at the edge is crucial.

We’ll then shift focus to the less-discussed, but rapidly advancing, sector of autonomous trucking. These trucks are quietly leading the charge in automation, reshaping logistics and the transport industry in ways passenger cars have yet to achieve.

Join us for a journey through the AI-driven future of autonomous driving, where each step brings us closer to safer, more efficient roads and a transformed transportation landscape.

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15:00 – 15:15   Challenges and opportunities for AI in autonomous driving

Velibor Ilic
Senior AI/ML Research Scientist @ The Institute for Artificial Intelligence Research and Development of Serbia

Artificial Intelligence (AI) is revolutionizing the automotive industry by enhancing autonomous driving technologies, but it faces significant challenges. These include interpreting complex human behaviors, navigating diverse weather conditions, and adapting to various global road infrastructures. Ethical and legal considerations also pose significant challenges, particularly in terms of decision-making during unforeseen events and the potential impact on employment within the industry. Despite these obstacles, AI presents vast opportunities such as dramatically improving road safety by reducing human error and influencing new business models in the automotive sector. The integration of artificial intelligence into autonomous vehicles not only promises to transform the way vehicles operate, but also has a major impact on the wider social and economic landscape.

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15:15 – 15:30   Edge Computing and Data Engineering in Autonomous Driving

Dejan Djekic
CEO @ Functor

In autonomous driving, real-time decision-making is often too latency-sensitive to rely solely on external (cloud) infrastructure. For instance, when a vehicle encounters an obstacle, it must decide in milliseconds whether to stop, steer, or continue. This decision-making must happen as close to the vehicle as possible to reduce the risk of latency-related accidents. This talk explores the topic a bit more in-depth.

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15:30 – 15:45   Decision outsourcing – Data take the wheel

Uros Urosevic
Data Engineer @ TeleSign

This talk delves into the evolving role of data as the foundation of decision-making in autonomous driving. We’ll examine how the sheer volume, diversity, and depth of data—from sensor streams to environmental variables—enable autonomous vehicles to make nuanced, context-aware choices. By exploring the intricacies of data-driven decisions, we’ll uncover how autonomous systems transform raw information into safe, reliable actions on the road, redefining traditional notions of control and adaptation.

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15:45 – 16:00   The Silent Revolution: How Autonomous Trucks are Outpacing Passenger Cars

Ninoslav Jovanov
Software Group Leader @ Continental Automotive Serbia

The landscape of autonomous vehicles is often dominated by discussions of self-driving cars, but the real revolution is unfolding on the highways and in industrial settings. This topic explores the rapid advancements in autonomous trucking technology and its far-reaching implications for the logistics and transportation industries. As the autonomous vehicle debate continues, it’s the heavy-duty trucks that are quietly leading the charge toward more automated future.

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16:00 – 17:00   Panel duscussion

Moderator: Dejan Djekic
CEO @ Functor