Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

A comprehensive set of security technology enablers will be critically required for
communication systems for the 6G era of the 2030s. Trustworthiness must be assured …

The emergence of a large variety of compute-intensive applications has made hardware
accelerators a new necessity to deploy the corresponding high-complexity algorithms, such …

A wide range of Arm endpoints leverage integrated and discrete GPUs to accelerate
computation such as image processing and numerical processing applications. However, in …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Federated Learning (FL) enhances decentralized machine learning by safeguarding data
privacy, reducing communication costs, and improving model performance with diverse data …

The growing complexity of modern computing platforms and the need for strong isolation
protections among their software components has led to the increased adoption of Trusted …

Graphics Processing Units (GPUs) unlock emerging use cases like large language models
and autonomous driving. They process a large amount of sensitive data, where security is of …

FPGAs are now used in public clouds to accelerate a wide range of applications, including
many that operate on sensitive data such as financial and medical records. We present …