Apple Workshop on Machine Learning for Health: Towards Increasing Diversity in Mobile Sensing Research
AuthorsDaniel Gatica-Perez (IDIAP-EPFL)
Apple Workshop on Machine Learning for Health: Towards Increasing Diversity in Mobile Sensing Research
AuthorsDaniel Gatica-Perez (IDIAP-EPFL)
MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and fine-tuning methods on their own hardware and explore other AI techniques. In a previous post, we highlighted the advantages of the M5 architecture and its GPU Neural Accelerators.
Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents
October 15, 2026research area Methods and Algorithms
Multimodal agents commonly generate freeform reasoning before each action. For small models, limited model capacity can result in lengthy reasoning that provides little useful guidance for action generation while incurring substantial inference cost. To address this challenge, we introduce Selection-based Structured Reasoning (SSR), a framework that reformulates reasoning as selection instead of open-ended generation. SSR represents recurring…