On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...
On December 4, the US Patent and Trademark Office (USPTO) issued a memorandum to the Patent Examining Corps reinforcing its existing subject ...
An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a ...
Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.
As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...
You cannot create institutional intelligence when knowledge lives in silos. You cannot compound learning when every insight ...
Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Abstract: The traditional seismic elastic analysis model for steel structures suffers from insufficient performance. This study proposes a deep feature learning network model. The model combines a ...
Purpose: We developed a machine learning framework to predict the presence of tertiary lymphoid structures (TLSs) within tumors in patients with hepatocellular carcinoma (HCC). This framework uses ...
LEMONT, IL—Engineers at Argonne National Laboratory are using machine learning technology to analyze known electrolyte additives and predict combinations that could improve battery performance. They ...