Scientists Believe , 'Organoid Intelligence' , Is the Future of Computing.
CNN reports that as part of a new field called
"organoid intelligence," a computer powered
by human brain cells could shape the future.
Organoids are lab-grown tissues
capable of brain-like functions, such as
forming a network of connections.
Brain organoids were first grown in 2012 by Dr. Thomas Hartung, a professor of environmental health and engineering, by altering human skin samples.
Brain organoids were first grown in 2012 by Dr. Thomas Hartung, a professor of environmental health and engineering, by altering human skin samples.
Computing and artificial intelligence
have been driving the technology
revolution but they are reaching a ceiling. , Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
Biocomputing is an enormous effort
of compacting computational power
and increasing its efficiency to push
past our current technological limits, Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
CNN reports that despite being modeled after human
thought processes, artificial intelligence cannot
fully replicate the complexity of the human brain.
While supercomputers are capable of crunching massive amounts of data much faster than a human, the human brain still possesses a number of unique qualities. .
The brain is still unmatched by modern
computers. Brains also have an amazing
capacity to store information, estimated
at 2,500 (terabytes). We’re reaching
the physical limits of silicon computers
because we cannot pack more
transistors into a tiny chip, Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
The research describing the team's work
on organoid intelligence was published
February 28 in the journal 'Frontiers in Science.'
CNN reports that as part of a new field called
"organoid intelligence," a computer powered
by human brain cells could shape the future.
Organoids are lab-grown tissues
capable of brain-like functions, such as
forming a network of connections.
Brain organoids were first grown in 2012 by Dr. Thomas Hartung, a professor of environmental health and engineering, by altering human skin samples.
Brain organoids were first grown in 2012 by Dr. Thomas Hartung, a professor of environmental health and engineering, by altering human skin samples.
Computing and artificial intelligence
have been driving the technology
revolution but they are reaching a ceiling. , Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
Biocomputing is an enormous effort
of compacting computational power
and increasing its efficiency to push
past our current technological limits, Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
CNN reports that despite being modeled after human
thought processes, artificial intelligence cannot
fully replicate the complexity of the human brain.
While supercomputers are capable of crunching massive amounts of data much faster than a human, the human brain still possesses a number of unique qualities. .
The brain is still unmatched by modern
computers. Brains also have an amazing
capacity to store information, estimated
at 2,500 (terabytes). We’re reaching
the physical limits of silicon computers
because we cannot pack more
transistors into a tiny chip, Dr. Thomas Hartung, professor of environmental health and
engineering at the Johns Hopkins Bloomberg School of Public
Health and Whiting School of Engineering in Baltimore, via CNN.
The research describing the team's work
on organoid intelligence was published
February 28 in the journal 'Frontiers in Science.'
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