A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

New data shows how AI models are reshaping B2B brand hierarchies through rapid month-to-month shifts in unaided recall.

From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

Salesforce Inc. has introduced a collection of new tools designed to support customers’ artificial intelligence initiatives. The first set of features, which debuted today, will help organizations ...

Many US government agencies and organizations are involved in countering weapons of mass destruction (CWMD). While overall goals and specific mission objectives vary, the US government typically ...

More than $1.6 trillion in annual transactions across 180M US consumers, made liquid and ratable via Carbon Arc for business intelligence or AI models Facteus, the #1 provider of real-time consumer ...

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 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...