A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Opinion
1dOpinion
How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
A new wave of intelligent water systems powered by Artificial Intelligence of Things (AIoT) is transforming how governments and industries monitor, predict, and manage water resources, as mounting ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
What is clear is that Meta Platforms was very good at architecting DLRM systems running R&R training and R&R inference, but ...
Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...
A new study published in Big Earth Data introduces the Cloud-Aware Mixture-of-Experts Linear Transformer U-Net ...
In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development. Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in ...
In his keynote address, Prof. Sastry emphasized that AI is dramatically accelerating drug discovery timelines, reducing costs, and enabling precision-driven research outcomes.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results