Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...
As organizations leverage new AI systems, they need to prioritize two of the most important building blocks of trust: effective training and clear communication.
Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
NR Narayana Murthy, co-founder of Infosys, reflects on leadership, governance and India’s entrepreneurial future in a wide-ranging conversation with . He argues for compassionate capitalism, founder a ...
Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress toward scalable, ...
Trained on data from NASA's exoplanet-hunting missions, the open-source ExoMiner++ deep learning model uses an advanced ...
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Why Data Quality, Not Just Algorithms, Is The Real AI Battleground: A Conversation with Vivek Shah
What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...
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