Worlds first bioprocessor
Is It a New Era in Biotech? Fascinating Updates on World’s First Bioprocessor
A Swiss startup, FinalSpark, has made headlines by announcing the world’s first bioprocessor. This revolutionary technology utilizes 16 human brain organoids to create a platform that consumes significantly less power than traditional digital processors. FinalSpark’s Neuroplatform offers remote access to these biological neurons, marking a significant milestone in biocomputing.
Innovation Behind the First Bioprocessor
FinalSpark’s Neuroplatform operates using an architecture known as “wetware,” a blend of hardware, software, and biological components. The core of this system comprises four Multi-Electrode Arrays (MEAs), each housing four organoids. These organoids are 3D cell masses of brain tissue, connected by electrodes that facilitate stimulation and recording.
Data transfer within the Neuroplatform is managed by digital analog converters with a 30kHz sampling frequency and a 16-bit resolution. Additionally, a microfluidic life support system and monitoring cameras ensure the organoids’ functionality and longevity. This advanced setup allows researchers to i
World's first bioprocessor uses 16 human brain organoids for ‘a million times less power’ consumption than a digital chip
A Swiss biocomputing startup has launched an online platform that provides remote access to 16 human brain organoids. FinalSpark claims its Neuroplatform is the world’s first online platform delivering access to biological neurons in vitro. Moreover, bioprocessors like this “consume a million times less power than traditional digital processors,” the company says.
FinalSpark says its Neuroplatform is capable of learning and processing information, and due to its low power consumption, it could reduce the environmental impacts of computing. In a recent research paper about its developments, FinalSpakr claims that training a single LLM like GPT-3 required approximately 10GWh – about 6,000 times greater energy consumption than the average European citizen uses in a whole year. Such energy expenditure could be massively cut following the successful deployment of bioprocessors.
The operation of the Neuroplatform currently relies on an architecture that can be classified as wetware: the mixing of hardware, software, and bio
FinalSpark’s Neuroplatform: the era of organic computing has begun!
Swiss startup FinalSpark has just launched its Neuroplatform, the world’s first commercial bioprocessor. This innovation promises to be a technological and energy revolution, with the potential to disrupt the field of artificial intelligence
FinalSpark’s Neuroplatform: A Radical Approach
What makes FinalSpark’s research groundbreaking is the fact that FinalSpark lab is fully accessible remotely, as a Neuroplatform. Researchers and companies from all over the world make experiments in FinalSpark’s lab in Vevey, using access through internet browser.
FinalSpark is one of three companies worldwide which try to use living neurons for computation. Neuroplatform uses human neurons grown in vitro, which are hoped to become an alternative to traditional silicon-based circuits.
This technology utilizes brain organoids —three-dimensional structures made from human neurons for fundamental research on computing. Placed onto multi-electrode arrays (MEA), these organoids form the core of FinalSpark’s Neuroplatform. Each MEA hosts up to four organoids, and the full platform can house up
A Swiss biocomputing startup has launched an online platform that provides remote access to a computing device of 16 human brain organoids. The FinalSpark neuroplatform is considered to be the world’s first online platform providing access to biological neurons «in vitro». The company claims that such bioprocessors consume a million times less energy than traditional ones.
A neuroplatform capable of learning and processing information can reduce the environmental impact of computers due to its low power consumption. In a recent research article About their developments, FinalSpark researchers claim that training an AI language model like GPT-3 requires approximately 10 GWh, which is about 6,000 times more energy than the average European consumes in a whole year. Costs can be significantly reduced after successful implementation of bioprocessors.
The Neuroplatform is currently based on an architecture that can be classified as wetware: a combination of hardware, software, and biology. The main innovation of the Neuroplatform is the use of four multi-electrode arrays (MEAs) containing living tissue – organoids, which are three-dimensional cell masses of brain tiss