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University of Missouri researchers published a comprehensive review of flow matching, an emerging generative AI approach for biology that models how living systems change over time, providing a roadmap to accelerate drug discovery, precision medicine, and the development of AI-powered virtual cells.
This paper provides a comprehensive review of memory mechanisms for autoregressive video generation, addressing the challenge of maintaining historical information across extended sequences to ensure temporal persistence.
A new review in Consciousness and Cognition challenges traditional models of imagination by showing that aphantasia, the inability to form mental images, relies on distributed brain networks rather than a single visual region.
This paper provides the first focused review on robust population-based metaheuristics for the berth allocation and quay crane assignment problem under uncertainty, covering uncertainty representations, robustness strategies, benchmarks, and open challenges.