Gabarito disponível
Texto-base:
It’s like a 21st century version of Frankenstein’s monster.
Switzerland-based startup FinalSpark claims to have built a unique computer processor made from 16 mini brains developed out of human brain tissue — and they are positioning this “living computer” as an alternative to silicon-based computing. And now, other researchers can remotely access the startup’s biocomputer, the Neuroplatform, to conduct studies on, let’s say, artificial intelligence, which typically requires enormous resources.
“One of the biggest advantages of biological computing is that neurons compute information with much less energy than digital computers,” a scientist and strategic advisor wrote in a company blog post. It is estimated that living neurons can use over 1 million times less energy than the current digital processors we use. The startup takes brain organoids, small samples of human brain tissue derived from neural stem cells, and places them in a special environment that keeps these organoids alive. They then hook up these mini brains to specialized electrodes to perform computer processing and digital analog conversions to transform neural activity into digital information.
The concept of living computers has been around for quite some time now. Last year, for instance, scientists hooked up neurons to electrical circuits, resulting in a device that could perform voice recognition. These unusual machines have some noteworthy advantages over their silicon-based counterparts, including a significantly smaller carbon footprint. “This is one of the reasons why using living neurons for computations is such a compelling opportunity. Apart from possible improvements in AI model generalization, we could also reduce greenhouse emissions without sacrificing technological progress,” she said.
FinalSpark hopes other institutions will tap its Neuroplatform in order to advance biocomputer research, while positioning this tool as the next step in AI computing. As AI companies clamor for resources for data centers, with concerns growing over carbon emissions and water, it’s a novel approach that may just pay off in the long run.
Internet: <futurism.com/neoscope> (adapted).
Based on the preceding text, judge the items that follow.
Biocomputers are more efficient than standard computers because they take less time than the latter to process the same information.
It’s like a 21st century version of Frankenstein’s monster.
Switzerland-based startup FinalSpark claims to have built a unique computer processor made from 16 mini brains developed out of human brain tissue — and they are positioning this “living computer” as an alternative to silicon-based computing. And now, other researchers can remotely access the startup’s biocomputer, the Neuroplatform, to conduct studies on, let’s say, artificial intelligence, which typically requires enormous resources.
“One of the biggest advantages of biological computing is that neurons compute information with much less energy than digital computers,” a scientist and strategic advisor wrote in a company blog post. It is estimated that living neurons can use over 1 million times less energy than the current digital processors we use. The startup takes brain organoids, small samples of human brain tissue derived from neural stem cells, and places them in a special environment that keeps these organoids alive. They then hook up these mini brains to specialized electrodes to perform computer processing and digital analog conversions to transform neural activity into digital information.
The concept of living computers has been around for quite some time now. Last year, for instance, scientists hooked up neurons to electrical circuits, resulting in a device that could perform voice recognition. These unusual machines have some noteworthy advantages over their silicon-based counterparts, including a significantly smaller carbon footprint. “This is one of the reasons why using living neurons for computations is such a compelling opportunity. Apart from possible improvements in AI model generalization, we could also reduce greenhouse emissions without sacrificing technological progress,” she said.
FinalSpark hopes other institutions will tap its Neuroplatform in order to advance biocomputer research, while positioning this tool as the next step in AI computing. As AI companies clamor for resources for data centers, with concerns growing over carbon emissions and water, it’s a novel approach that may just pay off in the long run.
Internet: <futurism.com/neoscope> (adapted).
Based on the preceding text, judge the items that follow.
Biocomputers are more efficient than standard computers because they take less time than the latter to process the same information.
O texto cita menor energia, não menor tempo de processamento.
O texto diz que os neurônios computam informação com muito menos energia que os computadores digitais. Não afirma que os biocomputadores processem a mesma informação em menos tempo. O item atribui uma vantagem de velocidade que o texto não menciona, por isso está errado.
Análise das alternativas
Certo está incorreto, pois a eficiência citada é energética. Errado é o gabarito.
Referência: Texto sobre FinalSpark e biocomputação (futurism.com).
Resolução comentada do VaiConcursos.