Fifth Generation Computer Systems: Difference between revisions

Revision as of 00:56, 26 May 2023

Revision as of 20:29, 6 July 2023

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interactive processing based on large knowledge bases. However, the committee was strongly biased to justify the project, so this overstates the actual results.<ref name=Odagiri>{{Cite journal|last1=Odagiri|first1=Hiroyuki|last2=Nakamura|first2=Yoshiaki|last3=Shibuya|first3=Minorul|date=1997|title=Research consortia as a vehicle for basic research: The case of a fifth generation computer project in Japan|url=https://linkinghub.elsevier.com/retrieve/pii/S0048733397000085|journal=Research Policy|language=en|volume=26|issue=2|pages=191–207|doi=10.1016/S0048-7333(97)00008-5}}</ref>

Many of the themes seen in the Fifth-Generation project are now being re-interpreted in current technologies, as the hardware limitations forseenforeseen in the 1980s were finally reached in the 2000s. When [[clock speed]]s of CPUs began to move into the 3–5&nbsp;GHz range, [[CPU power dissipation]] and other problems became more important. The ability of [[Private industry |industry]] to produce ever-faster single CPU systems (linked to [[Moore's Law]] about the periodic doubling of transistor counts) began to be threatened.

In the early 21st century, many flavors of [[parallel computing]] began to proliferate, including [[multi-core]] architectures at the low-end and [[massively parallel|massively parallel processing]] at the high end. Ordinary consumer machines and [[game console]]s began to have parallel processors like the [[Intel Core]], [[AMD K10]], and [[Cell (microprocessor)|Cell]]. [[Graphics card]] companies like Nvidia and AMD began introducing large parallel systems like [[CUDA]] and [[OpenCL]]. On another line of development, the [[Web Ontology Language]] (OWL) employs several layers of logic-based knowledge representation systems.{{cn|date=November 2022}}