Institution
Centre de Recherche en Informatique, Signal et Automatique de Lille
Recent research
- AI & Computing
Minimizer Density Revisited: Models and Multiminimizers
High-throughput sequence analysis commonly relies on k-mers and sampling schemes to improve scalability and data locality. Among these, local schemes are widely used and are typically evaluated by their density, the expected fraction of selected positions. Minimizers are the most...
- AI & Computing
Super Bloom: Fast and Precise Filter for Streaming k -Mer Queries
Approximate membership query structures are used throughout sequence bioinformatics, from read screening and metagenomic classification to assembly, indexing, and error correction. Among them, Bloom filters remain the default choice. They are not the most efficient structures in...
- Society & EconomicsOpen access
AI as the New Paint: A Systematic Review of AI as a Design Material
Artificial intelligence (AI) is increasingly influencing creative practice and workflows, with growing research exploring how it can be applied to advance creative work. In parallel, scholars have begun conceptualizing AI as a design material that practitioners can actively shape...
- Engineering & TechnologyOpen access
Climate change is increasing the intensity and frequency of extreme weather events, directly threatening critical port infrastructure and the stability of global supply chains. Effective adaptation planning requires systematic tools capable of identifying the most critical and cl...