{"id":285674,"date":"2026-02-15T19:30:11","date_gmt":"2026-02-15T19:30:11","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/285674\/"},"modified":"2026-02-15T19:30:11","modified_gmt":"2026-02-15T19:30:11","slug":"living-neurons-integrated-into-modern-ai-processing-claims-sf-startup-biological-computing-power-used-to-boost-computer-vision-generative-video-and-more","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/285674\/","title":{"rendered":"Living neurons integrated into modern AI processing, claims SF startup \u2014 biological computing power used to boost computer vision, generative video, and more"},"content":{"rendered":"

A San Francisco-based startup claims to be the first to have created a biological computing platform built from living neurons<\/a>, purposed to accelerate artificial intelligence<\/a>-based tasks. The Biological Computing Company (TBC) reckons this is a credible pathway to replace, or augment, silicon compute in AI, with support for processes like \u201ccomputer vision, generative video, and AI infrastructure.\u201d Alongside the bold claims, it is revealed that TBC has secured $25m<\/a> in funding from its initial seed round and will open a new flagship lab in the city.<\/p>\n

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(Image credit: The Biological Computing Company<\/a>)<\/p>\n

TBC was founded by two neuroscientists who are seeking to use \u201cthe most elusive, yet obvious idea in computer science \u2013 using the real brain for computing,\u201d notes an email received by Tom\u2019s Hardware. Moreover, the communication boasts that \u201cbiological computing can process foundational AI models 5x faster than silicon-based chips alone, requiring less power, generating greater accuracy, and reaching the scale that today\u2019s AI ecosystem requires.\u201d<\/p>\n

It is this kind of bold vision for a new class of AI infrastructure that has inspired the delivery of $25m in funding. However, at this early stage, we note that little of real substance has been publicly revealed to satisfy the curious minds of Tom\u2019s Hardware readers. We did enjoy looking at some of the computer vision, generative video, and algorithm discovery results found in the \u2018Today\u2019 section of TBC\u2019s home page, though.<\/p>\n

You may like<\/p>\n

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“Biologically inspired software enables AI videos to stay coherent for longer. Without our biologically derived adapter, AI-generated videos gradually fall apart as they get longer (left). With the adapter, the videos stay clearer and more consistent over time (right).” (Image credit: The Biological Computing Company<\/a>)<\/p>\n

The details we have about TBC\u2019s work say that the firm \u201cencodes real-world data (e.g., images, video) into living neurons, then decodes neural activity into richer representations mapped onto state-of-the-art AI models through modular adapters.\u201d This is piped through TBC’s Algorithm Discovery platform to bolster the AI compute<\/a> layer. Thus, in effect, the TBC wetware and software works on the intersection of neuroscience and AI. That seems fitting, as TBC co-founders Alex Ksendsovsky, MD, PhD, and Jon Pomeraniec, MD, MBA, are both neurosurgeon-neuroscientists.<\/p>\n

\u201cWe’re at the ground level of paradigm shift, of what comes next, after language, after silicon,” says Pomeraniec. The promise of “building infrastructure to understand and interact with the world in a fundamentally new way” is tantalizing, but the details publicly shared by the company so far are too vague to properly assess. This concern is magnified by the very bold claims of TBC. Moreover, we\u2019ve seen some interviews with the co-founders talk about a ten-to-20-year plan for its neurons in real-time compute integration. So, please stay tuned for a decade or two.<\/p>\n

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