Real-time health analytics

The domain of artificial intelligence requires a paradigm transformation. Centralized architectures are reaching their limits, challenged by latency and throughput issues. This underscores the increasing need to localize intelligence, pushing processing power to the frontier. Edge platforms offer a compelling solution by bringing computation closer

As connectivity rapidly advance, a new paradigm in artificial intelligence is emerging: Edge AI. This revolutionary concept involves deploying AI algorithms directly onto smart sensors at the network's periphery, bringing intelligence closer to the action. Unlike traditional cloud-based AI, which relies on centralized processing, Edge AI empowers d

The landscape of artificial intelligence (AI) is undergoing a significant transformation with read more the rise of edge AI. This groundbreaking paradigm transplants AI processing power from centralized cloud servers to decentralized devices at the infrastructure's edge. By bringing AI algorithms closer to the source of data, edge AI promotes real