Ensuring zero-trust principles and verifying that devices and GPUs are free from side-channel attacks is essential to ...

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

The transformation demands new approaches to identity, attribution and control that account for both human users and ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

A boiling sea of quarks and gluons, including virtual ones—this is how we can imagine the main phase of high-energy proton ...

On December 17 2024, the European Data Protection Board (EDPB) issued Opinion 28/2024 addressing data protection aspects of processing in the context of AI models. This Opinion was requested by the ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches the point of no return, when animal populations suddenly collapse. While ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...