Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

A look at the Arab world's networking research into intelligent wireless connectivity and intelligent secure networking systems. The past decade has witnessed exponential growth in wireless networks, ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

Introduction Mental health issues such as depression and anxiety are highly and disproportionally prevalent among university ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

In the fields of artificial intelligence and information processing, multimodal document semantic understanding technology is becoming a key engine driving the evolution of intelligent systems. A ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

If you want to cut your study time, using the Feynman Technique is a great way to do it. Named after the physicist Richard Feynman, it revolves around explaining a concept in simple language as if you ...

In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...

Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease.