Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

Deep within the brain, the ventral tegmental area does more than signal when we re rewarded it forecasts exactly when we ll be rewarded. This discovery came from an elegant collaboration between ...

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown ...

A new study making use of AI algorithms has shown that the brain's "reward center" operates in a much more sophisticated way ...

Impact Statement: Integrating quantum computing and machine learning techniques into brain-computer interface ... The promising results obtained from applying the proposed quantum algorithm, which ...

Abstract: Contrastive loss and its variants are very popular for visual representation learning in an unsupervised scenario, where positive and negative pairs are produced to train a feature encoder ...

Interestingly, the evolved networks largely lack FER, even approaching a unified factored representation (UFR). In large models, FER may be degrading core model capacities like generalization, ...