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Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference.
Advances in machine learning, including deep learning, have propelled artificial intelligence (AI) into the public conscience and forced executives to create new business plans based on data. However, ...
On April 10-14, the five participating universities of the Institute for Data, Econometrics, Algorithms, and Learning hosted a workshop examining multiple areas of interpretability.
Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...
The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...
Machine-learning techniques that are rapidly being pursued by quant hedge funds need to be interpretable for investors to buy into them, Tuncer Aysal, a researcher at Winton, has warned.
Sparkling Logic today announced the general availability of its Washington release of the SMARTS™ decision management platform. This latest release focuses on empowering businesses to seamlessly ...
Sumo Logic’s new machine data analytics platform is giving digital businesses more visibility to their metrics and log data ...
There isn’t a well-accepted delineation between what is definitely AI and what is definitely not AI. This is because there isn’t a well-accepted and standard definition of what is artificial ...
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