Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...

The United Auto Workers’ (UAW) 2023 “stand-up strike” against Ford, General Motors, and Stellantis delivered historic gains for our members. But just as significant is what came next. Before the ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Is cognitive offloading harmless or does it have negative effects for cognition? A new study offers interesting insights.

Abstract: In this communication, a new sampling method called the knowledge-based sampling method (KBSM) is proposed for deep learning (DL)-assisted planar antenna array design. This approach uses ...

That concluded in 2023, marking approximately three years since Styles has taken to the road. Fans were anxiously awaiting ...

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

OpenAI has warned lawmakers that its Chinese rival DeepSeek is using unfair and increasingly sophisticated methods to extract results from leading U.S. AI models to train the next generation of its ...

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Explore how microlearning, when paired with the Thematic Apperception Test, helps learners think deeper, reflect better, and ...

The ChatGPT maker says the Chinese firm may be distilling its models, underscoring rising tech tensions between Washington and Beijing.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...