The research project led by Amit Mathapati at Cornell University in 2009 aims to create an advanced mathematical model, specifically an Artificial Neural Network (ANN), to improve the early detection…
Continue readingThe paper discusses the use of deepfake audio as a data augmentation technique to train robust speech-to-text transcription models. The authors argue that finding a diverse and large labeled dataset…
Continue readingELIXR, the “Embeddings for Language/Image-aligned X-Rays”, is a new approach to medical AI that addresses previous limitations. It does this by using a multimodal model that combines a vision encoder…
Continue readingThe authors, Jobst Landgrebe and Barry Smith, critically examine the claim that machines, specifically large language models (LLMs) like GPT-4, can understand language. They argue that these models do not…
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