Biological centers for thinking, understanding, and learning have some striking similarities to data centers that house rows and rows of sophisticated processing equipment. But unlike those neural network data centers, the human brain consumes electrical energy. On average, the organs function approximately as follows: 12 watts power, compared to 175 watts for a desktop computer.For today’s advanced artificial intelligence systems, the wattage is easily grow into millions.
[Related: Meet ‘anthrobots,’ tiny bio-machines built from human tracheal cells.]
Knowing this, researchers believe that the development of cyborg “biocomputers” could ultimately usher in a new era of high-power intelligent systems with relatively low energy costs. . And they are already making great strides toward building that future.
As detailed in a new study published in nature electronicsA team at Indiana University has successfully grown unique nanoscale “brain organoids” in a petri dish using human stem cells. After connecting the organoids to a silicon chip, the new biocomputer (called “Brainoware”) was quickly trained to accurately recognize speech patterns and make certain complex mathematical predictions.
as new atlas According to the description, the researchers treated the brainware as a so-called “adaptive living reservoir” that could respond “non-linearly” to electrical input, while ensuring that it retained at least some memory. Simply put, lab-grown brain cells inside a silicon-organic chip function as information transmitters capable of both receiving and transmitting electrical signals. These feats do not suggest any kind of awareness or consciousness on the part of his Brainoware, but they do provide enough computational power to get some interesting results.
To test Brainoware’s functionality, the team converted 240 audio clips of Japanese-speaking adult males into electrical signals and sent them to an organoid chip. Within two days, a neural network system powered in part by Brainoware was able to accurately distinguish between her eight speakers using just one vowel 78% of the time. Ta.
[Related: What Pong-playing brain cells can teach us about better medicine and AI.]
Next, the researchers experimented with the mathematical knowledge of their creations. After a relatively short training time, Brainoware Enon map. One of the most well-studied examples of dynamical systems exhibiting chaotic behavior, the Henon map is far more complex than simple arithmetic, to say the least.
Ultimately, Brainoware’s designers believe that such a human brain organoid chip could underpin neural network technology, perhaps faster, cheaper, and with less energy than existing options. While there are still many logistical and ethical hurdles to clear, and a typical biocomputing system may be years away, researchers say these advances will help improve learning, neurodevelopment, and cognition. “It is likely that we will gain fundamental insights into the mechanisms of function.” Effects of neurodegenerative diseases. ”
But for now, let’s take a look at what Brainware can do for your game. Pon.
