Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...

The same weaknesses leave organizations exposed to both AI-enabled attacks and delayed cryptographic migration.

The exponential growth of network complexity, traffic volume and security demands is challenging the scalability of classical automation frameworks. Artificial intelligence (AI) has improved network ...

Just as geopolitical influence in the 20th century often rested on energy markets, so may the 21st century be dominated by ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

“Edge computing”, which was initially developed to make big data processing faster and more secure, has now been combined with AI to offer a cloud-free solution. Everyday connected appliances from ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Quantum computers might eventually be able to handle some AI applications that currently require huge amounts of conventional computing power. Such a development would be a major boost to machine ...

About 90% of employers use AI to some extent in hiring, yet research on how this is impacting job seekers is virtually ...

Human annotators in Brazil, Cambodia, and the Philippines are tracking every movement in the football tournament for teams, ...