In the ever-evolving field of artificial intelligence (AI), deep learning has emerged as a pivotal technique driving remarkable advancements across various domains. Among its many branches, multi-modal learning stands out as a particularly significant approach, which involves integrating and processing information from multiple modalities of data, such as visual content and language information, to enhance the capabilities of AI systems. The primary objective of multi-modal learning is to leverage the complementary information present in different modalities to achieve better performance than using any single modality alone, mimicking the way humans perceive and understand the world. […]

Urban Larsson (IIT Bombay, India) – The Fundamental Theorem of Normal Play

ARISE Program – Validate

In ARISE: Validate, teams will go out to the field and confirm if there is an actual need for their solution and discover other important requirements of their target market, to better shape the development roadmap of their solution.

Yuanwei Liu (Queen Mary University of London) – Near-field Communications: What Will be Different?

An assembly comprises parts joined together to achieve a specific form or functionality. Compared to monolithic objects, assemblies have many benefits in terms of fabrication, transportation, and adaptability. Parts of assemblies are always geometrically simple to fabricate with digital techniques, can be efficiently packed for transportation, and offer adaptability through flexible replacement or modification. Hence, assemblies are widely used in our daily lives that most of our consumer products, industry machines, and architectural structures are assemblies. […]

Join us for a panel discussion on 21st June as we Address the field of praxis, and the role design might have played/ could play in future projects within shifting strategies from mitigation toward adaptation to generate resilience.

In ARISE: Validate, teams will go out to the field and confirm if there is an actual need for their solution and discover other important requirements of their target market, to better shape the development roadmap of their solution.

Social media has become an integral part of daily life, leading to an explosion of social data. Geographical information within social media is essential for applications such as location-based analysis, recommendations, and targeted advertising. However, such information is sparse, prompting the exploration of mining it from social media data. […]

Assoc. Prof. Desmond Loke’s lab has developed scalable technologies for modulating Medium-doped Amorphous Glass (MAG). This breakthrough enables industry to use the extraordinary properties of amorphous glasses for next-generation digital memory devices for automotive, internet-of-things, and edge AI applications with quicker performance and enhanced energy efficiency, reliability, and downsizing ability.