Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs without cluster management with Amazon ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...