For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that are winning the day.

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

As artificial intelligence transforms every industry, organizations are placing an increased focus on the quality of their ...

The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered ...

Compared with other hurricane models used by the NHC, the DeepMind model is “definitely toward the front of the pack if not ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

Abstract: This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus ...

Abstract: Digital commerce platforms face a significant challenge in accurately modeling user preferences from high-dimensional, multimodal data, as traditional methods like collaborative filtering ...

Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...