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Scientists Just Found New Evidence of Life on Enceladus

The question Enceladus is asking is whether the transition from chemistry to biology is easy or hard. Whether it is something that happens whenever conditions permit, or whether we are alone in a universe that almost got there but never quite did.

A small, bright moon, five hundred kilometres wide, has become the most precise instrument humanity has ever had for answering that question. And it is answering it in real time, one grain of ice at a time.

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Timestamps:
0:00 Enceladus.
1:28 The Moon Herschel Couldn’t See.
4:46 Cassini and the Plumes.
8:18 The Chemistry Stack.
13:26 The 2025 Reveal: Fresh Organics and a Stable Ocean.
22:40 The Honest Complication.
27:24 What the Ice Grains Are Carrying.

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Fexl Spanish: / @fexl_es.
Fexl Portuguese: / @fexlpt.
Fexl Ukraine: / @fexl_ua.

#fexl #space #enceladus

Scientists Build a Living Computing Device Using Real Brain Cells

Princeton researchers have built a 3D device that combines living brain cells with advanced electronics in one system.

The device uses computational methods to recognize electrical patterns and may help researchers study brain function, neurological disease, and low-power computing.

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Scientists restore memory by blocking a single Alzheimer’s protein

Researchers have identified a new potential weapon against Alzheimer’s: blocking a protein called PTP1B. In mice, this approach boosted memory and helped brain immune cells clear harmful plaque buildup. Since PTP1B is also linked to diabetes and obesity—both risk factors for Alzheimer’s—it could offer a broader treatment strategy.

Temporal Variability in the Spiking Activity of Neurons in the External Globus Pallidus in Healthy and Parkinsonian Monkeys

The first report of in vivo extracellular recordings in the external segment of the globus pallidus (GPe) of awake monkeys described that most GPe neurons show high-frequency spiking activity, interspersed with pauses (high-frequency discharge with pauses, HFD-P), while a smaller proportion was said to show low-frequency discharge with bursts (LFD-B; DeLong, 1971). Similar patterns of pallidal discharge have been demonstrated by other authors, both in primates (Katabi et al., 2022) and rodents (Bugaysen et al., 2010; Benhamou et al., 2012).

There is evidence, however, that the HFD-P and LFD-B subtypes of GPe neurons are only the most recognizable extremes of a continuous spectrum of properties of GPe neurons. This view is supported by in vivo and in vitro recordings in rodents which found that the firing properties of the population of GPe neurons distribute along a continuum, with specific cells firing within more limited boundaries of firing rates and patterns (Abdi et al., 2015; Cui et al., 2021). Furthermore, observations in rodents showed that GPe neurons display a wide range of firing rates and patterns (Deister et al., 2013). The firing pattern heterogeneity in in vivo recordings may arise, at least in part, due to shifts in firing behavior of the same neurons, as has been reported in rodent studies (Deister et al., 2013). Such variations in firing patterns may only be detectable when recordings extend over long time periods (Elias et al., 2008).

The loss of nigrostriatal dopamine fibers associated with parkinsonism induces multiple alterations in GPe, where neuronal firing becomes slower, may show more frequent bursts, and becomes more synchronized (Galvan et al., 2015; Courtney et al., 2023). However, the stability of firing patterns of GPe neurons in the parkinsonian state has not yet been investigated.

The Android Show: I/O Edition | Gemini Intelligence

Introducing Gemini Intelligence, an intelligence system that knows what matters to you, helps you stay a step ahead and works proactively to get things done throughout your day, bringing the best of Gemini to our most advanced devices.

Join Mindy Brooks (VP, PM and UX, Android Platform), Dieter Bohn (Director, Product Operations), and Ruchi Bezoles (Director, Android Marketing) to see how we’re making Gemini Intelligence handle the busywork so you can get back to what brings you joy.

Watch the full show now to check out all of the innovations and breakthroughs coming soon to Android! → https://www.youtube.com/live/dXCCleAddEA

Learn more about Gemini Intelligence → https://android.com/gemini-intelligence.

Catch up on all things Android → https://android.com/io-2026

#TheAndroidShow.

The Commoditization of Intelligence: Why AI Aggregators Will Beat Foundation Models

Everyone is currently watching the major tech giants throw billions of dollars at the AI arms race, cheering for whichever foundation model happens to top the leaderboards this week.

It is an incredible spectacle to watch unfold, but focusing too closely on the tech itself might mean we are missing the actual business revolution happening right under our noses.

We have seen this exact economic shift before. The biggest winners of the internet era weren’t the ones who built the physical infrastructure or supplied the goods; they were the platforms that organized the supply and owned the user relationship. The same economic laws are now coming for artificial intelligence, actively turning “intelligence” into a basic, interchangeable utility.

The real value moving forward is no longer in the models themselves, but in the seamless interfaces that aggregate them. If you want to protect your business from vendor lock-in and position your team for ultimate flexibility, it is time to rethink your approach.

Read my full blog post to dive into why the future of AI belongs to the aggregators, and how your business can strategically capitalize on this shift.


We spend an enormous amount of time obsessing over the titans of the AI arms race. Every single week seems to bring a breathless new headline about OpenAI, Google, Anthropic, or Meta releasing a foundation model that edges out the competition on some obscure benchmark test. We find ourselves endlessly arguing over parameter counts, context windows, and raw reasoning capabilities, captivated by a multi-billion-dollar war unfolding in real-time.

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