In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, ...

Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...

Databricks said on Thursday that it is incorporating OpenAI’s models, including GPT-5, into its data platform as well as its AI product, Agent Bricks, as part of a $100 million multi-year deal that ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...

Artificial intelligence, often abbreviated as AI, has been a topic of conversation in nearly every industry worldwide, and fashion is no exception. While AI's impacts on a large scale are still ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

Abstract: Data voids significantly compromise the reliability of Digital Bathymetry Models (DBMs) for critical applications such as oceanographic research and resource exploration. Traditional ...

Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning — but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...