Abstract: Accurate, quick forecasting of petroleum production data in short-term scenarios is a complex challenge that requires the development of reliable predictive models. Traditionally, engineers ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Aftyn Behn, the Democratic nominee for next week’s special election in a heavily Republican Tennessee congressional district, has made affordability concerns a centerpiece of her campaign messaging – ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

Google is adding Deep Research and more file types to NotebookLM. Google is adding Deep Research and more file types to NotebookLM. is a NYC-based AI reporter and is currently supported by the ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

Scientists are revolutionizing how new marine species are described through the Ocean Species Discoveries initiative. Using advanced lab techniques, researchers recently unveiled 14 new species from ...

Teachers’ and students’ use of artificial intelligence in K-12 classrooms is increasing at a rapid pace, prompting serious concerns about the potentially negative effects on students, a new report ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...