System database
Source-labelled records with downloadable data.
Living cells can compute.
Neurons and brain organoids are being coupled to electronics, software and feedback loops. Biocomputers tracks the systems, companies and evidence as the field develops.
Biocomputing in 2026
This year has produced peer-reviewed goal-directed organoid learning, tactile organoid classification, supervised temporal-pattern generation, new three-dimensional interfaces and a 20-unit CL1 deployment in Singapore. September added a brain-organoid robotics preprint, a new thermodynamic DNA-computing architecture and a commercial AWS collaboration for TBC’s neuron-derived software.
Biological computing reaches rack scale
NUS Medicine, DayOne and Cortical Labs demonstrated a 20-unit CL1 research deployment in Singapore.
Living neurons generate trained temporal signals
A PNAS closed-loop BNN produced periodic and chaotic trajectories.
Goal-directed organoid learning
Feedback-driven adaptation in a Cell Reports cart-pole experiment.
The interface race moves into 3D
Embedded, multilayer and conformal electrode systems are improving access to neural tissue.
Access living-neural systems now
CL1 purchase, Cortical Cloud and FinalSpark remote organoids, with pricing status checked and dated.
11 tracked systemsResearch, commercial platforms and labelled demonstrations
8 peer-reviewedTracked system records backed by published research
6 interface familiesFrom planar MEAs to 3D conformal arrays
CSV + JSON + BibTeXReusable evidence and research data
Evidence that can be compared
The database records substrate, interface, task, access and source quality. The benchmark framework adds the variables that matter when performance claims begin to collide.
Access database
Physical and remote routes, pricing status and provider links.
Compare systems
Side-by-side architecture and evidence details.
Interface atlas
How electrical access changes across 2D cultures and 3D tissues.
2026 papers
The papers materially changing the field this year.
Technology map
Substrate, interface, learning route and system role kept distinct.
Wetware computing
Where the term fits within the wider biocomputing vocabulary.
Claims that need their evidence attached
Pong, Doom, energy efficiency and consciousness are already shaping how the field is described outside the laboratory. The source record is much more useful than the headline.
Did neurons learn Pong?
The peer-reviewed DishBrain experiment, stripped down to the actual protocol.
Can a biocomputer play Doom?
A real CL1 demonstration with a different evidence status from a published experiment.
Claims ledger
Common statements graded by source type and current evidence.
Questions people ask
Direct answers with routes into the technical pages.
Try the ideas
Classify systems, design an architecture or test the strength of a claim.
The engineering questions are getting sharper
Better interfaces now make it possible to ask more useful questions about reproducibility, retention, biological variability and complete-system cost.
Benchmark the complete hybrid system
Task performance, learning, stability, energy and biological replication.
Biological neural networks
How recurrent dynamics and plasticity become computational resources.
Engineering limits
I/O, reproducibility, lifetime, memory portability and whole-system energy.
Labs and programmes
The research groups building platforms, interfaces and experimental methods.