AI-generated images are widespread on social media. Starting in August 2026, platforms will be required under the EU AI Act ...

Abstract: Brain tumors rank among the most lethal forms of cancer, and their early detection is crucial for improving patient outcomes. Beyond timely identification, accurately determining tumor type ...

Abstract: Image recognition and classification, powered by machine learning, is a rapidly advancing field with broad applications across various industries. Machine learning techniques, especially ...

📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages. 🖼️ Images, for tasks like image ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

The rediscovery of known drug classes represents a major challenge in natural products drug discovery. Compound rediscovery inhibits the ability of researchers to explore novel natural products and ...

Department of Chemistry, New York University (NYU), New York, New York 10003, United States Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, United States NYU ...

Erielle Sudario is a Collider News and Feature Author from Australia and has worked in the journalism industry since 2018. She has a passion for entertainment and pop culture news and has interviewed ...

The alarming decline in global biodiversity, driven by various factors, underscores the urgent need for large-scale wildlife monitoring. In response, scientists have turned to automated deep learning ...

All models are trained using cosine annealing with initial learning rate 0.2. Following data augmentations are applied to the training data: Images are padded with 4 pixels on each side, and 28x28 ...