By reviewing three decades of AI applications in electrocatalysis, researchers reveal how the field has shifted from isolated data analysis toward end-to-end, data-driven discovery. The work ...

The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...

Company collaborating with third parties using "proprietary artificial intelligence and machine learning technologies to identify nonspecific responses and understand and predict susceptibility to ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

India], February 11: iHub-Data at IIIT Hyderabad has announced the launch of a six-month intensive training program in Artificial Intelligence and Machine Learning (AI/ML), aimed at upskilling ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...