Our mission is to learn from evolution and redefine computing, using living neurons to make silicon-based AI models more stable, scalable, and efficient.
Myth: biological computing is theoretical.
Biological computing is here.
Not as metaphor. Not as inspiration.
We use living neural systems to improve AI today: computer vision, image reconstruction, generative video & new learning rules.
Learn how: bit.ly/4accP45
Co-founder Alexander Ksendzovsky headed to the @MorganStanley Asia AI Summit and took the stage to share our vision for biological computing. A few snapshots from the event below. ⬇️
As our commercialization phase ramps up, we’re bringing in two luminary strategic advisors whose expertise are essential to TBC’s next chapter. Hear from Shaul and Richard here: prn.to/4vaItqG
AI is hitting the limits of silicon: more compute, energy and retraining.
The brain learns continuously, preserves prior knowledge, operates with extraordinary efficiency & more.
We study living neurons to improve, not replace, AI training & performance. bit.ly/4n8jEJi
The brain is the most efficient information-processor built and refined over millions of years — we’re translating these abilities into real-world advantages for modern AI systems.
See how via the article. 👉 bit.ly/4w5xTTq
TBC co-founder Alexander Ksendzovsky joined fellow industry leaders and Computing Research Associates for an intimate CRA-I Salon Gathering at the historic University Club in SF to explore what’s next for AI.
Key takeaways here. ➡️ bit.ly/4t3VW2m
During @deantak’s visit to our Mission Bay lab, he witnessed how living neurons can inspire new AI systems based on the brain’s response.
Learn more about Dean’s visit and TBC’s vision for the future of biological computing in @GamesBeat. 👉 bit.ly/3QrHdAz
From generative video to compute efficiency, biological computing is opening a new path for AI. In an interview with @DIGITIMESAsia, our co-founders break down how it enhances AI and what’s ahead. Learn more. ➡️ bit.ly/3QQ3ojX
What if AI’s next big leap was rooted in biology?
@natrubio__ at @theDeepView breaks down TBC’s approach to biological computing, using neural signals from living cells to enhance AI performance. Read more. ➡️ bit.ly/4sCrnAx
TBC welcomed a select group of media into our Mission Bay lab this week for a closer look at what we’re building.
Through observing systems in progress & connecting directly with our team, our guests had a front-row seat to how biological intelligence evolves the way we compute.
At TBC, we translate real-world data into electrical signals → encode these signals into living neurons → map the neural responses onto AI models to make them better, faster, cheaper.
We’re defining what comes after transformers: tbc.co/
How do you prevent AI algorithms from losing what they know?💡Hint: biology.
Brains stay flexible through local learning, and AI can borrow these principles to learn more efficiently and move past brute force retraining. bit.ly/4svgi5a
Co-founders Alexander Ksendzovsky and Jonathan Pomeraniec joined @RepJoshG, who brought together builders policymakers in the same room. We shared how TBC uses living neurons to enhance existing AI models.
We’re proud to contribute to discussions like these.
AI models trade off quality and efficiency.
We show how biologically inspired connectivity preserves structure and clarity in image reconstruction — without redesigning the base model. Learn more. bit.ly/4dpTA9G
Did you know that neural networks have the power to improve video generation? 🎥
Our blog post explores how biological neural networks using real neurons enables increased stabilization in AI-generated videos without sacrificing quality. Read more: bit.ly/4lmMOn5
💡 This is not sci-fi. We put living neurons into AI models to make them more efficient.
Our CEO Alexander Ksendzovsky joined the folks over at @tbpn to break down our process. Watch here: bit.ly/40LedWi
Biology makes modern AI systems better.
Our blog explains how living neural networks enhance computer vision systems and enable more advanced AI capabilities. Take a look: bit.ly/4r57PDW
What if AI was powered by real neurons? 🤯
At TBC, we integrate lab-grown neurons with silicon to supercharge AI systems and models. Read more via @SiliconANGLE. bit.ly/3MRIPCj