Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Proper use of AI and automation tools can transform tax time into a continuous, integrated, year-round process rather than a ...

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...

Abstract: The paper addresses the problem of estimating the energy consumed by production resources in manufacturing so that alternative process designs can be compared in terms of energy expenditure.

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...