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A breakthrough in imaging technology promises to transform our understanding of the inner workings of living cells, and provide insights into a wide range of diseases.

The study, recently published in the journal Nature Communications, unveils an innovative approach that combines super-resolution imaging with and to reveal and dynamics. It was led by researchers from Peking University, Ningbo Eastern Institute of Technology and the University of Technology Sydney.

“It’s like taking an airplane over a city at night and watching all the live interactions,” said UTS Distinguished Professor Dayong Jin. “This cutting-edge will open new doors in the quest to understand the intricate world within our cells.”

In the paper accompanying the launch of R1, DeepSeek explained how it took advantage of techniques such as synthetic data generation, distillation, and machine-driven reinforcement learning to produce a model that exceeded the current state-of-the-art. Each of these approaches can be explained another way as harnessing the capabilities of an existing AI model to assist in the training of a more advanced version.

DeepSeek is far from alone in using these AI techniques to advance AI. Mark Zuckerberg predicts that the mid-level engineers at https://fortune.com/company/facebook/” class=””>Meta may soon be replaced by AI counterparts, and that Llama 3 (his company’s LLM) “helps us experiment and iterate faster, building capabilities we want to refine and expand in Llama 4.” https://fortune.com/company/nvidia/” class=””>Nvidia CEO Jensen Huang has spoken at length about creating virtual environments in which AI systems supervise the training of robotic systems: “We can create multiple different multiverses, allowing robots to learn in parallel, possibly learning in 100,000 different ways at the same time.”

This isn’t quite yet the singularity, when intelligent machines autonomously self-replicate, but it is something new and potentially profound. Even amidst such dizzying progress in AI models, though, it’s not uncommon to hear some observers talk about the potential slowing of what’s called the “scaling laws”—the observed principles that AI models increase in performance in direct relationship to the quantity of data, power, and compute applied to them. The release from DeepSeek, and several subsequent announcements from other companies, suggests that arguments of the scaling laws’ demise may be greatly exaggerated. In fact, innovations in AI development are leading to entirely new vectors for scaling—all enabled by AI itself. Progress isn’t slowing down, it’s speeding up—thanks to AI.

Researchers at Northwestern University have expanded the potential of carbon capture technology that plucks CO2 directly from the air by demonstrating that there are multiple suitable and abundant materials that can facilitate direct air capture.

In a paper titled “Platform materials for moisture-swing carbon capture” published in the journal Environmental Science & Technology, the researchers present new, lower-cost materials to facilitate moisture-swing to catch and then release CO2 depending on the local air’s moisture content, calling it “one of the most promising approaches for CO2 capture.”

Atmospheric CO2 continues to increase and, despite considerable worldwide efforts to cut down on carbon waste, is expected to rise more in coming decades.

The cell cycle is a fundamental process that drives cell growth, division, and replication. In this video, we’ll break down the different phases of the cell cycle (G1, S, G2, and M), explore the key checkpoints that regulate progression, and discuss the critical role of cyclins and CDKs in cell cycle control.
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Discovering and controlling exotic physical states is key in condensed matter physics and materials science. It has the potential to drive advancements in quantum computing and spintronics.

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While studying a ferrimagnet model, scientists at the U.S. Department of Energy’s Brookhaven National Laboratory uncovered a new phase of matter called “half-ice, half-fire.” This state is a twin to the “half-fire, half-ice” phase discovered in 2016.

Could we reach Alpha Centauri in just 60 years? The Nuclear Salt Water Rocket (NSWR) might be the answer! With speeds of up to 7.6% of light speed, this game-changing propulsion system could make interstellar travel a reality within a single human lifetime. But how does it work? What challenges stand in the way? In this episode, we break down everything you need to know about NSWR and its potential to revolutionize space travel!
Watch now and explore the future of interstellar exploration!

Paper link : https://path-2.narod.ru/design/base_e… 00:00 Introduction 00:58 How the NSWR Works and Its Breakthrough Potential 03:41 Feasibility and Engineering Challenges 06:30 The Potential Impact on Space Exploration 09:35 Outro 09:44 Enjoy MUSIC TITLE : Starlight Harmonies MUSIC LINK : https://pixabay.com/music/pulses-star… Visit our website for up-to-the-minute updates: www.nasaspacenews.com Follow us Facebook: / nasaspacenews Twitter: / spacenewsnasa Join this channel to get access to these perks: / @nasaspacenewsagency #NSN #NASA #Astronomy#NuclearSaltWaterRocket #SpaceExploration #InterstellarTravel #AlphaCentauri #FutureOfSpaceTravel #SpaceTechnology #RocketScience #FastestRocket #NASA #RobertZubrin #DeepSpaceExploration #SpacePropulsion #NuclearRockets #Physics #Astrophysics #NewSpaceRace #SpaceEngineering #CosmicExploration #BeyondOurSolarSystem #WarpDrive #Science #SpaceScience #RocketTechnology #StarTravel #FusionPropulsion #MarsToStars #LightSpeedTravel #FuturisticTechnology #HighThrustPropulsion #SpaceFrontier #NextGenSpacecraft.

Chapters:
00:00 Introduction.
00:58 How the NSWR Works and Its Breakthrough Potential.
03:41 Feasibility and Engineering Challenges.
06:30 The Potential Impact on Space Exploration.
09:35 Outro.
09:44 Enjoy.

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Satya Nadella, CEO of Microsoft, shares the groundbreaking potential of AI Copilot — a powerful tool that’s transforming how we work. From streamlining everyday tasks to revolutionizing healthcare workflows, AI Copilot is designed to seamlessly integrate with the tools we already use, like Teams, Word, and Excel.

Satya Nadella explains how AI Copilot is helping doctors prepare for high-stakes meetings, automatically generating agendas, summaries, and even PowerPoint presentations. Plus, see how it empowers professionals to gather the latest insights, collaborate with teams, and create smarter workflows with ease.

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A key objective of ongoing research rooted in molecular physics is to understand and precisely control chemical reactions at very low temperatures. At low temperatures, the chemical reactions between charged particles (i.e., ions) and molecules unfold with highly rotational-state-specific rate coefficients, meaning that the speed at which they proceed strongly depends on the rotational states of the involved molecules.

Researchers at ETH Zürich have recently introduced a new approach to control chemical reactions between ions and molecules at low temperatures, employing microwaves (i.e., with frequencies ranging from 300 MHz to 300 GHz). Their proposed scheme, outlined in a paper published in Physical Review Letters, entails the use of pulses to manipulate molecular rotational-state populations.

“Over the past 10 years, we have developed a method with which ion-molecule reactions can be studied at very low temperatures, below 10 K, corresponding to the conditions in in the , where these types of reactions play a key role,” Valentina Zhelyazkova, corresponding author of the paper, told Phys.org.