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 ...
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 ...
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 ...
The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.
Innovators are increasingly focused on whether outsourced partners can help them make better decisions earlier, before ...
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...