Cloud Based

Cloud-based computing is revolutionizing artificial intelligence by providing scalable resources for training and deploying complex models, while simultaneously addressing concerns around data privacy and security. Current research focuses on optimizing model architectures (like LLMs and CNNs) for efficiency and privacy in various applications, including healthcare, cybersecurity, and renewable energy, often employing techniques like federated learning, knowledge distillation, and secure multi-party computation. This shift towards cloud-based AI is significantly impacting the speed and accessibility of AI development, enabling broader adoption across diverse fields while mitigating risks associated with sensitive data.