Speaker: Laura Herrera Alarcón. Abstract: The emergence of Large Audio Language Models (LALMs) has expanded the ability of LLMs to understand and reason over audio. In response, new benchmarks have been introduced to measure these capabilities. Yet, most rely on… Read More
Fitting Protein Language Models (PLMs) for the prediction of protein functionality using zero-shot and few-shot techniques.
Speaker: Juan Antonio Gordillo Gayo. Abstract: The unprecedent success of deep learning has driven unprecedented progress across many scientific domains, solving tasks long considered intractable with traditional methods. A remarkable example is AlphaFold, which made it possible to predict protein… Read More
Open science in the service of conservation: An accessible, user-friendly machine learning workflow for automated anuran monitoring in complex Neotropical soundscapes
Speaker: Gabriel Bidart Abstract: Amphibian populations worldwide are declining, particularly in biodiversity hotspots such as the Neotropics, posing urgent conservation challenges. Acoustic monitoring offers a non-invasive tool for tracking amphibian presence and activity, but large-scale audio datasets pose bottlenecks. We… Read More