Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...

Confluent, Inc., the data streaming pioneer, is offering new Confluent Intelligence capabilities that connect artificial intelligence (AI) agents and uncover more accurate, intelligent data analysis.

Emotion regulation is a critical transdiagnostic process that shapes vulnerability and resilience to psychopathology during adolescence, a developmental ...

Objective Systemic lupus erythematosus (SLE) is associated with increased susceptibility to infections, including herpes ...

Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...

Support for the Agent2Agent protocol helps connect AI agents anywhere in real time so they can collaborate at enterprise ...

Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.

A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...

This study aimed to survey and evaluate the subjective noise annoyance levels in Nairobi City. Being the capital city of Kenya in East Africa, Nairobi is undergoing rapi ...

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.