Learn how reinforcement learning and prompt engineering are shaping the future of large language models for smarter AI ...

The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now ...

Several studies have addressed the link between the use of supervised computational learning models in weapon systems and their ability to make autonomous decisions. This link is examined in light of ...

SSL enhances generalization by pre-training models on large datasets (e.g., scTab) using techniques like masked autoencoders and contrastive learning, especially for underrepresented cell types. The ...

This study proposes a hybrid learning strategy combining supervised and reinforcement learning techniques to optimize train wheel wear management under these constraints and achieve predictive ...

Facing a legal challenge over its decision to close several supervised consumption sites, the Ontario government has hired outside investigators to gather information about the sites. Ema ...

Zou is now working on a way to use similar techniques to enhance AI reinforcement learning, so that an AI is rewarded not just for answering correctly with a lucky guess, but for answering ...

Toronto city council's board of health voted Monday to seek to intervene in a legal challenge against provincial legislation that will shut down several supervised consumption sites this year. The ...

More information: Mohammad Alsmirat et al, Supervised Deep Learning for Ideal Identification of Image Retargeting Techniques, IEEE Access (2024). DOI: 10.1109/ACCESS.2024.3510675 ...

More than 100 people have used Ireland’s first medically supervised injecting facility (MSIF) since it opened almost a month ago, with numbers rising each week. The service at Merchants Quay ...

Traditional deep-learning techniques, while effective, rely heavily on supervised learning, necessitating extensive and costly annotated datasets. This paper presents CL-PSDD(Contrastive Learning for ...