Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

Strong data management practises include enforcing data quality standards, securing data access, tracking lineage, and enabling ongoing validation. These steps help organisations avoid the downstream ...

F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, today announced its intent to acquire a ...

With the rapid development of artificial intelligencetechnology, RAG (Retrieval-Augmented Generation) architecture is becoming the core technology that connects external knowledge with large models. A ...

Post 1AI applications are being deployed faster than most security teams can keep up. The risk? Vulnerabilities like prompt injection, over-permissioned agents, and poisoned training data are already ...

As artificial intelligence (AI) moves from the "battle of models" to practical applications, the demand for computing power is shifting from training to inference. AI training and inference integrated ...

Senior columnist Diya Choksey explores the recent dismantling of alumni interviews in higher education and its implications ...

Optimization and architecture definition in chip design is important, but there's a downside to too much customization.

At the Taiwan AI Academy annual conference, Asus chairman Jonney Shih urged Taiwan to strengthen its AI development by ...

Across the Gulf, governments are investing billions in sovereign AI initiatives, data center expansions, and smart city ...

Every era of biology has been defined by a tool: the microscope, the sequencer, CRISPR. Artificial intelligence is emerging ...

This is not something far out in the future. Buy now, pay later firm Klarna has reported that it is employing fewer people ...