Robotics
Connecting artificial intelligence systems to the real world through robots and designing them using principles from evolution is the most likely way AI will gain human-like cognition, according to research from the University ...
Jun 12, 2023
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443
Engineering
Researchers have found that variability between brain cells might speed up learning and improve the performance of the brain and future AI.
Oct 6, 2021
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327
Robotics
This little robot can go almost anywhere.
Nov 16, 2022
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113
Computer Sciences
Researchers at the University of Sfax, in Tunisia, have recently developed a new method to recognize handwritten characters and symbols in online scripts. Their technique, presented in a paper pre-published on arXiv, has ...
Robotics
Researchers at University of Bologna and Electrolux have recently developed a new robotic system that could assist humans with one of their most common everyday chores, doing laundry. This system, introduced in a paper published ...
Computer Sciences
EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.
Dec 7, 2023
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101
Computer Sciences
In modern cryptosystems, users generate public and private keys that guarantee security based on computational complexity and use them to encrypt and decrypt information. Recently however, modern public-key cryptosystems ...
Jul 22, 2022
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154
Telecom
Researchers of Delft University of Technology, Vrije Universiteit Amsterdam and VSL have developed an alternative positioning system that is more robust and accurate than GPS, especially in urban settings. The working prototype ...
Nov 16, 2022
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199
Hardware
Neural networks are distributed computing structures inspired by the structure of a biological brain and aim to achieve cognitive performance comparable to that of humans but in a much shorter time.
May 2, 2023
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474
Computer Sciences
Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. ...
