Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...

Are you wondering what’s next? To many, the future of technology lies squarely with machine learning and with artificial intelligence, known as AI. Artificial intelligence refers to technologies that ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3, Google ...

Abstract: This paper proposes a new method for blind mesh visual quality assessment (MVQA) based on a graph convolutional network. For that, we address the node classification problem to predict the ...

Enhancing Drug-Target Interaction Prediction: A Graph-Based Approach Integrating Knowledge Graph ... model = XGBClassifier(n_estimators=100, learning_rate=0.1, use_label_encoder=False, ...

Want more charts like these? See our charts on the secrets of the jobless recovery, the richest 1 percent of Americans, and how the superwealthy beat the IRS. How Rich Are the Superrich? A huge sh ...

The Browser Company shifts focus from Arc to Dia, an AI-powered browser, placing Arc in maintenance as it explores open sourcing or selling it. Dark LLMs like WormGPT bypass safety limits to aid ...