Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...
Georgia Tech researchers Vidya Muthukumar and Eva Dyer are leading a multi-institutional project to develop a theory for data augmentation, aiming to improve the generalization and fairness of AI ...
Bielefeld researchers analyze in “Nature Machine Intelligence” how humans and AI systems learn new things and what this means ...
Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.
Dan Herbatschek, CEO of Ramsey Theory Group and its subsidiary Erdos Technologies, today announced a groundbreaking initiative to cultivate the next wave of artificial intelligence innovators by ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...
Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...
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