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Brain organoid pioneers fear inflated claims about biocomputing could backfire

For the brain organoids in Lena Smirnova’s lab at Johns Hopkins University, there comes a time in their short lives when they must graduate from the cozy bath of the bioreactor, leave the warm, salty broth behind, and be plopped onto a silicon chip laced with microelectrodes. From there, these tiny white spheres of human tissue can simultaneously send and receive electrical signals that, once decoded by a computer, will show how the cells inside them are communicating with each other as they respond to their new environments.

More and more, it looks like these miniature lab-grown brain models are able to do things that resemble the biological building blocks of learning and memory. That’s what Smirnova and her colleagues reported earlier this year. It was a step toward establishing something she and her husband and collaborator, Thomas Hartung, are calling “organoid intelligence.”

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Another would be to leverage those functions to build biocomputers — organoid-machine hybrids that do the work of the systems powering today’s AI boom, but without all the environmental carnage. The idea is to harness some fraction of the human brain’s stunning information-processing superefficiencies in place of building more water-sucking, electricity-hogging, supercomputing data centers.

Despite widespread skepticism, it’s an idea that’s started to gain some traction. Both the National Science Foundation and DARPA have invested millions of dollars in organoid-based biocomputing in recent years. And there are a handful of companies claiming to have built cell-based systems already capable of some form of intelligence. But to the scientists who first forged the field of brain organoids to study psychiatric and neurodevelopmental disorders and find new ways to treat them, this has all come as a rather unwelcome development.

At a meeting last week at the Asilomar conference center in California, researchers, ethicists, and legal experts gathered to discuss the ethical and social issues surrounding human neural organoids, which fall outside of existing regulatory structures for research on humans or animals. Much of the conversation circled around how and where the field might set limits for itself, which often came back to the question of how to tell when lab-cultured cellular constructs have started to develop sentience, consciousness, or other higher-order properties widely regarded as carrying moral weight.

Innovative underwater exoskeleton boosts diving efficiency

A research team led by Professor Wang Qining from the School of Advanced Manufacturing and Robotics, Peking University, has developed the world’s first portable underwater exoskeleton system that assists divers’ knee movement, significantly reducing air consumption and muscle effort during dives.

The findings, published in IEEE Transactions on Robotics on October 14, 2025, open new possibilities for enhancing in underwater environments.

Advancing Drug Discovery with Artificial Intelligence

Lipid nanoparticles (LNPs) have emerged as popular vehicles for delivering various types of drugs such as mRNA and gene therapy. While these nanoparticles are effective in transporting therapeutic payloads, their components can interact with the human body, potentially causing genotoxicity — damage to the recipient’s genetic material that may lead to inheritable mutations or cancer. In this webinar brought to you by Inotiv, Shambhu Roy will discuss how to test the genotoxicity of LNP-based therapeutics to ensure the safety of these innovative drug delivery systems.

We’ll chat about these topics.

• Understanding the key components of LNP delivery systems • Genotoxicity testing for LNP-based drugs during preclinical safety assessment • Selecting the appropriate assays to meet regulatory requirements.

Nvidia’s Blackwell Chips Anchor GMI Cloud’s $500 Million AI Build in Taiwan

GMI Cloud is stepping deeper into the AI infrastructure boom. The U.S.-based GPU-as-a-Service provider said Monday it will build a $500 million artificial intelligence data center in Taiwan, a project that will run on Nvidia’s NVDA-1.88% ▼ new Blackwell GB300 chips and come online by March 2026. Bit by bit, Taiwan is becoming a major hub for next-generation compute, even as the island continues to wrestle with power-supply constraints.

Soft robot powered by edible pneumatic battery and actuator

Using common kitchen ingredients such as citric acid and sodium bicarbonate, scientists have created an edible pneumatic battery and valve system to power soft robots.

Soft, biodegradable robots are used in various fields, such as and targeted drug delivery, and are designed to completely disappear after performing their tasks. However, the main problem with them is that they rely on conventional batteries (such as lithium), which are toxic and non-biodegradable. And until now, no successful system has been developed that can provide repeated, self-sustained motion using only edible materials.

In a new paper published in the journal Advanced Science, researchers from Dario Floreano’s Laboratory of Intelligent Systems at EPFL in Switzerland describe how they developed a fully edible power source (), a valve system (controller), and an actuator (the robot’s muscle).

How to See the Dead

Looking at the bench and readings, he concluded that the previous night’s firmware update had introduced a timing mismatch. The wires hadn’t burnt out, but the clock that told them when to fire had been off by a microsecond, so the expected voltage response never lined up. He suspected half the channels had dropped out, even though the hardware itself wasn’t damaged. Fifteen minutes and a simple firmware rollback later, and everything worked perfectly.

Now, Lyre and I swapped the saline for neuron cultures to check if the wires could trigger and record real biological data. While we confirmed, Aux fine-tuned his AI encoder and processed April’s data.

We were finally ready to test the integrated system, without yet risking its insertion into April’s brain. We built something we only half jokingly called a “phantom cortex,” a benchtop stand-in: a synthetic cortical sheet of cultured neurons on a chip designed to act as April’s visual cortex. On one side, we put a lab-grown retinal implant that carried live sensory input. On the other, Aux’s playback device pushed reconstructed memories. The phantom cortex’s visual field was rendered on a lab monitor so that we could assess the pattern projections. The phantom cortex rig buzzing faintly in the background, gelled neuron sheets twitching under the microscope with each ripple of charge.

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