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Princeton researchers built a bio-hybrid computing device that merges living brain cells with electronics to create energy-efficient neural networks.
Have you ever considered that living matter can operate as information hardware? Usually, when discussing biocomputing, there are two paradigms: Molecular biocomputing: uses DNA an...
A 3D bio-hybrid device uses a microscopic metal mesh to grow and "program" living brain cells for computation.
By embedding synthetic DNA into electronic architectures, researchers unlock a class of memory devices capable of simultaneous processing and storage. Researchers at Penn State Uni...
"If we want truly intelligent machines, we have to start building hardware that learns the way biology does."
While the world focuses on the power consumption of massive AI data centers, researchers at the University of California, Santa Cruz, are looking at a more efficient alternative: t...
A 3D network of living neurons and electronics can recognize electrical patterns and may help researchers study both brain function and low-energy computing. Princeton researchers...
The Pentagon’s science and technology research arm is moving forward with one of its most unusual computing programs to date, opening an industry workshop this week for O-Circuit,...
A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems.
Researchers are exploring molecular alternatives that can process and store information beyond conventional silicon-based systems. How? A team at KAIST has developed a DNA-based bi...
MIT researchers created a biohybrid system that turns living muscle into a computer-controlled...
Living robots now have nervous systems, letting them control movement and change behavior, pointing to a future where biology becomes programmable. Scientists at the Wyss Institute...
Researchers have successfully trained living biological neurons to perform complex machine learning tasks. By using microfluidic devices and "FORCE learning," the team demonstrated...
In a groundbreaking development at the intersection of biology and robotics, researchers from The University of Osaka, in collaboration with Diponegoro University, have unveiled an...
HC1 raises a much bigger question than whether it can outperform GPUs. It asks whether future AI systems will still rely on programmable computing at all, or evolve towards silicon...
Scientists are finding ways to merge biology with electronics, unlocking new possibilities for data storage and computing. DNA carries the genetic instructions for all living thing...
<p>Google positioned Gemini 3.5 Flash as frontier-class agentic performance at half to a third the cost of comparable OpenAI and</p>
The technology harnesses the brain's own blood chemistry to assemble soft, light-controlled electrodes around neurons. The post Scientists Grow Electronics Inside the Brains of Liv...
Can shifting computation into hardware cut AI power use? This chip design can focus on efficiency in time-based data processing. Researchers at Loughborough University have develop...
Nature Nanotechnology, Published online: 18 May 2026; doi:10.1038/s41565-026-02186-1Artificial neurons based on printed molybdenum disulfide nanosheet networks achieve multi-order...
By developing organic transistors that mimic neural synapses, the team has identified how molecular interfaces can be engineered to create "neuromorphic" computers that learn and s...
AI is using more power than current chips can handle. Researchers are testing brain-inspired designs that could change how computers process and store information. Researchers at U...
As artificial intelligence workloads expand, conventional silicon based processors are facing increasing pressure from rising energy demands and performance limits. Lumai has unvei...
Engineers at Northwestern University have taken a striking leap toward merging machines with the human brain by printing artificial neurons that can actually communicate with real...
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