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A new study published in Current Molecular Pharmacology explores the transformative role of large language models (LLMs) in drug development. The research highlights how LLMs enhance efficiency and ...
Scientists record 9,000 hours of languages spoken in Kenya, Nigeria and South Africa as free-access training data for AI ...
To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our ...
Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...
Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical answer about its contents. But these same LLMs often struggle to correctly ...
This enables the student model to achieve better feature representation. Innovatively, we use the average feature vector as the prototype to execute prototype contrastive learning to ensure model ...
Recently, contrastive learning (CL) has shown excellent performance in the hyperspectral image (HSI) classification. However, existing CL-based methods face two specific challenges: 1) multiview ...
New Mac models expected through 2026 have been detailed in a new report based on leaked Apple identifiers for the forthcoming revisions.
Picture Sherlock is a deep learning-based image comparison tool that rapidly identifies similar images within a large collection by analyzing image features. The tool utilizes pre-trained neural ...
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