neural networks

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Mathematical paradoxes unearth the boundaries of AI

Artificial intelligence (AI) has made monumental strides in numerous areas over the last decade. One only has to look at the news to see the latest breakthrough, whether it’s an AI beating a world-champion player at some game, achieving human-level object recognition, or diagnosing cancer... click to read more

Matthew J. Colbrook | Postdoctoral Research Fellow at Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK; Department of Mathematics, University of Oslo, Norway

Vegard Antun | Postdoctoral Research Fellow at Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK; Department of Mathematics, University of Oslo, Norway

Anders C. Hansen | Professor at Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK; Department of Mathematics, University of Oslo, Norway

AI

neural networks

stability

accuracy

mathematical paradoxes

Reading time 3.5 min

published on Aug 29, 2022

Tidings from Before the Flood: how Artificial Intelligence Rediscovers Ancient Babylonian Texts

How much can we learn from our past? And how far back into the past can we draw connections between our predecessors and us? The ancient Mesopotamians, residents of the lands between the rivers Tigris and Euphrates in modern-day Iraq, believed wisdom came from before... click to read more

Shai Gordin | Senior Lecturer at Digital Pasts Lab, Department of Land of Israel Studies and Archaeology, Ariel University, Ariel, Israel

Avital Romach | Research Assistant at Department of Archaeology and Ancient Near East Cultures, Tel Aviv University, Tel Aviv, Israel

Ethan Fetaya | Senior Lecturer at Department of Engineering, Bar-Ilan University, Ramat-Gan, Israel

cultural heritage

neural networks

digital humanities

cuneiform

Mesopotamia

Reading time 3.5 min

published on Sep 1, 2021