A biological computer is growing inside the English lab

A remarkable “biological computer” is sitting in a laboratory outside the Cambridge. 200,000 people grown in the laboratory lie on the silicone circuit that conveys the brain cell, synchronous electricity activities into a foreign world on one screen.

The CL1 device, which is the size of the two shoe box, is developed by Australian Bit.Bio with Australian Bit.Bio, which has a proposal to create “synthetic biological intelligence”, is a new computing form that can offer opportunities for ordinary electronics and other developing technologies such as quantum.

“Like our brains, biological computers, biological computers will consume less energy than the usual electronics than the usual electronics. The future applications may include robotics, security and metovers,” Cortical Labs Chief Executive Executive Hon Weng Chong said.

The rapidly growing search for alternatives to the intensive condition of energy has stimulated the new area biological calculation“Neuromorphic” is aiming to shoot directly to the intelligence of brain cells, rather than imitating him in silicone and through AI, which directly hit the intelligence of brain cells.

Cortical laboratories are at the top of this movement, although the Swiss team in the United States and other beginnings such as the Finalspark and Biological Black Box.

The early appeals of the CLA discovered how to process information processing in neurology and pharmaceutical research, different chemicals and drug candidates.

“The next stages of the innovation, using the same processors, will receive new and more advanced forms outside of conventional AI systems – neurons – are called intelligence in living organisms.”

Mark Cotter, Cambridge University and Bit.BiDina’s significance for a professor of Clinical Neurology, “This is the first machine that can safely appreciate the calculation power of brain cells. This is a true paradigm.”

Experts noted that CL1 was a “significant achievement”, which helped develop biological calculation.

Karl Friston said that in London London, which collaborated with a number of cortical laboratories with a number of cortical laboratories, said that London London could be adopted as the first commercial biomimetic computer.

“However, the true gift of this technology is not for computer science.

Thomas Hartung, Johns Hopkins University in Baltimore, examines “Organoid exploration” Using stem cells, used cerebral organoids or mini brains, the outstanding contribution of cortical laboratories was to prepare virtual games playing as a benchmark for biological calculation.

Clearly learned to play a simple video game Pong, which transfered a virtual cushion to burn down the predecessor, dishes, a ball.

In the form of a sane wave in the form of a sane, such as training, neurons, cells, it gives the “award” stimulus when applying the pillow properly. When the wrong “punishment” was an unpleasant white noise.

Dishbrain and CL1 show experiments, the data processing of neurons, how much tennis are affected by how well they play. “We treated them with chemicals affecting our brains.” “This machine, for example, indicates that the alcoholic calculation is violated.”

Another practice compares the impact of three epilepsy treatment, one of them was superior to improving the size of the gameplay.

“We think very much about how to program our biological computers,” he said. “A big question is how to represent digital data to these neurons.” Scientists teach neurons forms of figures, “and now they start to accept that nine are different from four or five.”

Cortical laboratories and bit.bio, Cl1 put the pure layers of two specific neurons in the Silicone cycle – one reduces each other’s pure layers to hydrate the electricity and the other. “The balance between the acceleration and brakes is really important,” he said. Neurons grow in stem cells originally from human skin.

Others like a Swiss FinalSpark investigate biological calculations with brain organic. However, the bit.bio and cortical laboratories believe that the strata of the standard neurons will give more recurring results than organoids.

“Our neurons are very homogeneous,” said Tony Oosterveen, Tony Oostveen, who led the work of bit.Bio’s brain cells. “If you look at other technologies, you will see a big change. Our strength is to make a clean population.”

Whatever the long-term biocomputing promise is, his lawyer has admitted that a more common application and the AI ​​has adopted for decades in the future. A problem is to operate an effective programming system.

The other is that neurons can live in a CL1 in a CL1 with a permanent fluid flow to provide food items and remove waste products.

“The downside of such a system is how we should not carry memory transfer.” “You must start from scratch again after the system is dead.”

Chong, biological computers and neural cultures are aware of ethical concerns in the future if they develop the rudents of consciousness.

He said: “These systems,” These systems, they meet and learn how to learn from them, but we do not intend to create a brain in a VAT. ”