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Inside X0 and XTR-0

XTR-0 is the first way Extropic chips will be integrated with conventional computers. We intend to build more advanced systems around future TSUs that allow them to more easily integrate with conventional AI accelerators like GPUs. This could take the form of something simple like a PCIe card, or could in principle be as complicated as building a single chip that contains both a GPU and a TSU.

X0 houses a family of circuits that generate samples from primitive probability distributions. Our future chips will combine millions of these probabilistic circuits to run EBMs efficiently.

The probabilistic circuits on X0 output random continuous-time voltage signals. Repeatedly observing the signals (waiting sufficiently long between observations) allows a user to generate approximately independent samples from the distribution embodied by the circuit. These circuits are used to generate the random output voltage, making them much more energy efficient than their counterparts on deterministic digital computers.

Ultra-black nanoneedles absorb 99.5% of light for future solar towers

Using state-of-the-art equipment, researchers in the Thermophysical Properties of Materials group from the University of the Basque Country (EHU) have analyzed the capacity of ultra-black copper cobaltate nanoneedles to effectively absorb solar energy. They showed that the new nanoneedles have excellent thermal and optical properties and are particularly suited to absorbing energy. This will pave the way toward concentrated solar power in the field of renewable energies.

The tests were carried out in a specialized lab that has the capacity to undertake high temperature research. The results were published in the journal Solar Energy Materials and Solar Cells.

Renewable energy of the future is concentrated solar power because it can be easily used to store thermal energy. Despite the fact that, historically, it is more expensive and complex than photovoltaic power, in recent years huge advances have taken place in this technology, and concentrated plants are spreading across more and more countries as a resource for a sustainable future.

Bioinformatics uncovers regenerative therapy for spinal cord injury

Spinal cord injury (SCI) remains a major unmet medical challenge, often resulting in permanent paralysis and disability with no effective treatments. Now, researchers at University of California San Diego School of Medicine have harnessed bioinformatics to fast-track the discovery of a promising new drug for SCI. The results will also make it easier for researchers around the world to translate their discoveries into treatments. The findings are published in the journal Nature.

One of the reasons SCI results in permanent disability is that the neurons that form our brain and cannot effectively regenerate. Encouraging neurons to regenerate with drugs offers a promising possibility for treating these .

The researchers found that under specific experimental conditions, some mouse neurons activate a specific pattern of genes related to neuronal growth and regeneration. To translate this fundamental discovery into a treatment, the researchers used data-driven bioinformatics approaches to compare their pattern to a vast database of compounds, looking for drugs that could activate these same genes and trigger neurons to regenerate.

Novel molecular mechanisms shape neuron identity in retinal cells

A recent study led by Tiffany Schmidt, Ph.D., associate professor of Ophthalmology and of Neurobiology in the Weinberg College of Arts and Sciences, has discovered previously unknown cellular mechanisms that shape neuron identity in retinal cells, findings that may improve the understanding of brain circuitry and disease. The study is published in Nature Communications.

Schmidt’s laboratory studies melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs), a type of neuron in the retina that plays a key role in synchronizing the body’s internal clock to the daily light/dark cycle.

There are six subtypes of ipRGCs—M1 to M6—and each expresses a different amount of the protein melanopsin, which makes the ipRGCs directly sensitive to light. However, the mechanisms which give rise to each ipRGCs subtype’s unique structural and functional features have previously remained elusive.

Why Some 80-Year-Olds Have the Memory of 50-Year-Olds

For 25 years, scientists have studied “SuperAgers”—people aged 80 and above whose memory rivals those decades younger. Research reveals that their brains either resist Alzheimer’s-related plaques and tangles or remain resilient despite having them.

These individuals maintain a youthful brain structure, with a thicker cortex and unique neurons linked to memory and social skills. Insights from their biology and behavior could inspire new strategies to protect cognitive health into late life.

For the past 25 years, researchers at Northwestern Medicine have been examining people aged 80 and older, known as “SuperAgers,” to uncover why their minds stay so sharp.

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