""The brain's a lot more energy efficient than silicon, billions of times more efficient," Ksendzovsky told Fortune. "So, one of the things we're able to do is abstract the way neurons respond to information, and mathematically model them... Our current AI systems have gotten to the point where they've been extremely inefficient, and require way too much data to train. That's because they've become very unbiological.""
""It was the first proof point," said Pomeraniec. "We could actually take information from the real world, translate it into a communicable language with biology, put it into a dish full of living neurons, draw something out, and analyze it. And there was no turning back.""
"Five years later, Ksendzovsky and Pomeraniec's The Biological Computing Co. (TBC) has raised $25 million in seed funding, Fortune has learned. Primary led the round, with participation from Builders VC, E1 Ventures, Proximity, Refactor Capital, Tusk Ventures, and Wonder Ventures. The startup's goal is as simple as it's futuristic: To position biological computing as a genuine alternative to silicon and transformers."
In 2021 two neurosurgeons encoded S&P 500 prices into electrical patterns and fed those patterns into a dish of living neurons. The neurons recognized patterns in the data and produced analyzable outputs, demonstrating living cells can act as computational substrates. The experiment led to the formation of The Biological Computing Co., which has raised $25 million in seed funding to develop biological computing. The company aims to model neuronal responses mathematically to build energy-efficient computing systems that reduce training data needs compared with current AI architectures and provide an alternative to silicon-based transformers.
Read at Fortune
Unable to calculate read time
Collection
[
|
...
]