AI

number of breaks: 2

showing 1-2 of 2 breaks

show sort by

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

How robots can learn to grasp from humans

We use our hands every day to hold and move objects of various shapes, sizes, materials and weights. However, grasping an object is a complex process, even though we do it effortlessly without even a second thought. For example, if we want to lift a... click to read more

Subramanian Sundaram | Postdoctoral Research Fellow at Computer Science & Artificial Intelligence Lab, MIT; Wyss Institute, Harvard University; Biological Design Center, Boston University

robots

dexterity

tactile sensors

AI

human grasp

Reading time 3.5 min

published on May 22, 2020