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scientist inChinahave unveiled Taichi - II , an upgraded version of their in full opticalartificial intelligence(AI ) chip that they say could one day power unreal general intelligence ( AGI ) systems .
The first Taichi chip wasunveiled by researchers in April 2024 . Instead of trust on electronic constituent , the midget , modular machine is powered byphotons , or atom of light . These photons power tiny on - table electric switches that turn on or off when voltage is applied .
compare with its predecessor , Taichi - II is 40 % more accurate in categorization tasks , which postulate class and identify different type of information , and surrender a " six Order of magnitude " ( i.e. , a million - fold ) melioration in vim efficiency in low - light source condition , South China Morning Post ( SCMP)reported .
The researchers achieve this leap in execution by training the AI immediately on the ocular fleck , rather than relying on digital simulation — a process the scientist called " amply advancing way . " They described their finding in a subject published Aug. 7 in the journalNature .
Fully forward mode is an AI training method in which datum locomote in only one direction — forward . This differs from traditional training method , where data is typically process in multiple , reiterative steps . As light passes through the bit , it interacts with tiny components that set its management and regulate its phase and intensity . These cause immediate change to the AI fashion model ’s parameter , enabling it to learn in real sentence without repeated processing .
amply forward musical mode helps photon chips mold even faster than before , but these chips already have significant vantage over ceremonious chips . Light - found chips are farless energy - intensiveand can perform calculations much faster than traditional chip shot as they can march multiple signals simultaneously . This is because photons , unlike negatron , can jaunt at the amphetamine of light and do n’t engender heat as they move through the chip , leading to faster and more efficient processing .
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The Taichi chip works likewise toother lightness - ground chips , but it can be scale much better than vie designs , the investigator previously said . This is because the chiplet conflate several advantages of existing photonic chips — including " ocular diffraction and noise , " which have-to doe with to how light is manipulate within the chiplet .
An AI cow chip that operates entirely photonically could eventually power AGI modeling — extremely powerful AI system capable of homo - like intelligence and reasoning , with the capacitance to learn unexampled skills that consist beyond the confines of its training data .
While this suppositious technology is still many years out from reality ( at least , harmonize to mostpredictions ) , the developers of Taichi indicate in their April theme that their chip ’s modular architecture meant multiple chiplets could be combine to build an extremely powerful AI system .
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They demonstrated this in an experiment , stitching together several Taichi chiplets and compare its public presentation to other illumination - based micro chip in key areas . The combined system was able to simulate a internet of nearly 14 million artificial neuron , which is much larger than the 1.47 million neurons achieved by the next - best innovation .
It did this while being exceedingly energy - effective , performing over 160 trillion operation for every watt of power it used . To put that into view , a photonic chipfrom 2022 could only manage 3 trillion operations per James Watt , and most schematic chip design for similar chore typically do well under 10 trillion cognitive process per James Watt .
The researchers said Taichi - II is a key gradation towards moving light - based AI chips from theory to virtual applications and addressing the growing demand for high - power , scurvy - zip computing , SCMP reported . This will be key to developing AGI model , althoughfears continue over the implications of this .
