Self-organization: What robotics can learn from amoebae

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. ...

Computer Sciences

A novel multi-modal image retrieval system

With the amount of information on the internet increasing by the minute, and retrieving meaningful data from it is sometimes like trying to find a needle in a haystack. Content-based image retrieval (CBIR) systems are capable ...


A silicon image sensor that computes

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 ...


New hardware architecture provides an edge in AI computation

As applications of artificial intelligence spread, more computation has to occur—and more efficiently with lower energy consumption—on local devices instead of in geographically distant data centers in order to overcome ...

Computer Sciences

Toward speech recognition for uncommon spoken languages

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.


US grand jury indicts former pilot of Boeing 737 MAX

A US federal grand jury on Thursday charged a former Boeing chief test pilot with misleading aviation regulators during the certification process for the 737 MAX, which was involved in two fatal crashes.

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Information processing

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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