Researchers from DZNE, Ludwig-Maximilians-Universität München (LMU), and Technical University of Munich (TUM) have found that ...

Unlike the high churn of B2C apps, B2B analytics platforms—especially those focused on infrastructure—can scale more efficiently and secure long-term contracts with leagues, enterprises, and ...

AlleyWatch sat down with Castellum.AI CEO and Co-Founder Peter Piatetsky to learn more about the business, its future plans, ...

Reading the Communications March 2025 issue, it struck me how many articles assume large language models (LLMs) are the ...

Civic engagement platforms (CEPs) are online infrastructures that facilitate democratic dialogue, community decision-making, ...

Agentic AI refers to systems that operate with a degree of autonomy—capable of perceiving, deciding and acting in pursuit of ...

By providing a "source of truth," open-source intelligence (OSINT) can support initiatives in building digital trust.

A Future with Explainable AI. Explainable AI is the future of business decision-making. Explainable decision making plays a role in every aspect of AI solutions from training, QA, deployment, ...

Conventional technologies used in cultural heritage preservation typically operate as static monitoring tools or repositories ...

As tech writer Scott Clark noted on CMSWire recently, explainable AI provides necessary insight into the decision-making process to allow users to understand why it is behaving the way it is.

Explainable AI addresses this limitation by providing insight into the model’s decision-making process,” the Virginia Tech team notes. The study authors actually created and tested an MPEA ...