As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

MCP allows AI agents and chatbots to connect to data sources, tools, and other services, but they pose significant risks for ...

Sonic debuts SonicCS 2.0 with overlapping DAG elections, doubling speed, and cutting validator memory use by 68 percent.

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

From jail breaking an AI to security and integrity of AI training data, what are the best ways to fend off threats from ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

The agentic AI solution, known internally as Weave, launched alongside a model benchmarking tool called LLM-IQ. It was built from the ground up using data sourced from carriers and operators to create ...

GREmLN focuses on the “molecular logic” that defines how genes interact and influence each other. This illustration highlights how the model uniquely captures gene interaction and the influence of ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a non-linear data structure that arranges blocks as vertices in a directed ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...