Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
The University of Louisiana at Lafayette unveils a new PhD blending AI, data science and leadership, with online and ...
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 considerable interest among researchers. The debate around the use of machine ...
With OpenShift 4.21, you can simultaneously modernize existing IT infrastructure and accelerate AI innovation on a single, ...
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 ...
Google has opened applications for the 10th cohort of its AI-focused Startups Accelerator Africa programme, offering free ...
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 ...
AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term ...
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