Electronics & Semiconductors
An important avenue for information processing, especially at the edge of limited resources, is to develop neuromorphic devices with functions similar to biological neural networks.
Nov 1, 2023
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86
Hardware
Researchers have developed a new design for computer memory that could both greatly improve performance and reduce the energy demands of internet and communications technologies, which are predicted to consume nearly a third ...
Jun 23, 2023
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80
Hardware
The never-ending quest for faster, smaller computers that can do more has led manufacturers to design ever tinier transistors that are now packed into computer chips by the tens of billions.
Jun 7, 2023
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38
Electronics & Semiconductors
Scientists at UNSW Sydney have combined artificial synapses with advanced sensors to mimic the properties of human skin, in new research published in Advanced Functional Materials.
Apr 26, 2023
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57
Computer Sciences
Transportation systems in urban settings are vulnerable to a variety of factors including weather, traffic congestion, and special events. Bottlenecks, in particular, can cause major problems and lead to cascading failure ...
Mar 21, 2023
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62
Robotics
Amoebae are single-cell organisms. By means of self-organization, they can form complex structures—and do this purely through local interactions: If they have a lot of food, they disperse evenly through a culture medium. ...
Nov 22, 2022
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77
Machine learning & AI
Human Brain Project researchers have trained a large-scale model of the primary visual cortex of the mouse to solve visual tasks in a highly robust way. The model provides the basis for a new generation of neural network ...
Nov 2, 2022
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77
Hardware
As any driver knows, accidents can happen in the blink of an eye—so when it comes to the camera system in autonomous vehicles, processing time is critical. The time that it takes for the system to snap an image and deliver ...
Aug 26, 2022
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90
Automotive
If a sticker on a banana can make it show up as a toaster, how might strategic vandalism warp how an autonomous vehicle perceives a stop sign? Now, an immune-inspired defense system for neural networks can ward off such attacks, ...
Mar 24, 2022
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177
Computer Sciences
Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only perform well with the most widely spoken of the world's roughly 7,000 languages.
Nov 4, 2021
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74
Information processing is the change (processing) of information in any manner detectable by an observer. As such, it is a process which describes everything which happens (changes) in the universe, from the falling of a rock (a change in position) to the printing of a text file from a digital computer system. In the latter case, an information processor is changing the form of presentation of that text file. Information processing may more specifically be defined in terms used by Claude E. Shannon as the conversion of latent information into manifest information[citation needed]. Latent and manifest information is defined through the terms of equivocation (remaining uncertainty, what value the sender has actually chosen), dissipation (uncertainty of the sender what the receiver has actually received) and transformation (saved effort of questioning - equivocation minus dissipation)[citation needed].
Within the field of cognitive psychology, information processing is an approach to the goal of understanding human thinking. It arose in the 1940s and 1950s. The essence of the approach is to see cognition as being essentially computational in nature, with mind being the software and the brain being the hardware. The information processing approach in psychology is closely allied to cognitivism in psychology and functionalism in philosophy although the terms are not quite synonymous. Information processing may be sequential or parallel, either of which may be centralized or decentralized (distributed). The parallel distributed processing approach of the mid-1980s became popular under the name connectionism. In the early 1950s Friedrich Hayek was ahead of his time when he posited the idea of spontaneous order in the brain arising out of decentralized networks of simple units (neurons). However, Hayek is rarely cited in the literature of connectionism.
In the 1970s, Abraham Moles and Frieder Nake were among the first to establish and analyze links between information processing and aesthetics.
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