What if artificial intelligence could learn without any data? No datasets to train on, no human-labeled examples to guide it—just a system that evolves and improves entirely on its own. It sounds like ...

Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each ...

Federated Learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical ...

CyberSwarm is developing a neuromorphic computing engine that mimics brain function using memristor-based artificial synapses. The technology enables real-time learning, ultra-low power AI, and ...

At Qatar Foundation (QF), collaboration isn’t just encouraged – it is embedded into the very core of the teaching and ...

For decades, education has struggled with a core challenge â how to address individual learning needs at scale! The way we approach education is being fundamentally redefined. The age-old, ...