The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

Background Most dementia algorithms are unsuitable for population-level assessment and planning as they are designed for use in the clinical setting. A predictive risk algorithm to estimate 5-year ...

I was lucky in my early career that I found two sets of great mentors. The first happened recently after graduating when I joined the Hilo development team. Members of that team included Phil Moorby, ...

Achieving optimal performance in GPU-centric workflows frequently requires customizing how host and device memory are allocated. For example, using "pinned" host memory for asynchronous host <-> ...

2025 was the year technology stopped being tomorrow’s promise and became today’s anchor. What began as a surge in generative AI and platform innovation two years prior crystallized this year into ...

The number of people with cardiovascular disease surged by 148 per cent in South-east Asia over the past three decades, with the condition becoming the region’s leading cause of mortality and ...

Abstract: Estimating per-flow cardinality from high-speed data streams has many applications such as anomaly detection and resource allocation. Yet despite tracking single flow cardinality with ...

Render Network’s native token RENDER (previously RNDR) has weathered the crypto market’s volatility while experiencing steady growth year-on-year. This raises the question: what’s driving this ...