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Nanoscopic raft dynamics on cell membranes successfully visualized for first time

A collaborative team of four professors and several graduate students from the Departments of Chemistry and Biochemical Science and Technology at National Taiwan University, together with the Department of Applied Chemistry at National Chi Nan University, has achieved a long-sought breakthrough.

By combining atomic force microscopy (AFM) with a Hadamard product–based image reconstruction algorithm, the researchers successfully visualized, for the first time, the nanoscopic dynamics of membrane rafts in live cells—making visible what had long remained invisible on the cell membrane.

Membrane rafts are nanometer-scale structures rich in cholesterol and sphingolipids, believed to serve as vital platforms for cell signaling, viral entry, and cancer metastasis. Since the concept emerged in the 1990s, the existence and behavior of these lipid domains have been intensely debated.

What Is the Universe, Really? | Leonard Susskind

When we talk about the universe, we usually imagine space filled with galaxies, stars, and matter expanding endlessly in all directions. It feels natural to think of the universe as a vast container — a place where everything exists. But modern theoretical physics suggests that this picture may be deeply misleading.

In this video, we explore a more fundamental question: what is the universe really made of? Is it space? Matter? Energy? Or something far more abstract than our everyday intuition allows?

Drawing on ideas associated with Leonard Susskind, this long-form exploration challenges the assumption that the universe is a physical stage where reality takes place. Instead, physics increasingly points toward a universe defined not by objects and locations, but by information, relationships, and boundaries.

Black hole physics, quantum theory, and modern cosmology have forced scientists to rethink the foundations of reality. In some of the deepest descriptions of nature, space and time no longer appear as fundamental ingredients. What we experience as a three-dimensional universe may be an emergent structure — a convenient description rather than the true underlying reality.

Rather than focusing on equations, this video emphasizes intuition and conceptual understanding. Through thought experiments and simple analogies, we examine why the universe feels like a place, why that picture works so well at human scales, and why it may break down at the most fundamental level.

Why does AI being good at math matter?

This is the second time in recent months that the AI world has got all excited about math. The rumor mill went into overdrive last November, when there were reports that the boardroom drama at OpenAI, which saw CEO Sam Altman temporarily ousted, was caused by a new powerful AI breakthrough. It was reported that the AI system in question was called Q* and could solve complex math calculations. (The company has not commented on Q*, and we still don’t know if there was any link to the Altman ouster or not.) I unpacked the drama and hype in this story.

You don’t need to be really into math to see why this stuff is potentially very exciting. Math is really, really hard for AI models. Complex math, such as geometry, requires sophisticated reasoning skills, and many AI researchers believe that the ability to crack it could herald more powerful and intelligent systems. Innovations like AlphaGeometry show that we are edging closer to machines with more human-like reasoning skills. This could allow us to build more powerful AI tools that could be used to help mathematicians solve equations and perhaps come up with better tutoring tools.

John Forbes Nash Jr

(June 13, 1928 – May 23, 2015), known and published as John Nash, was an American mathematician who made fundamental contributions to game theory, real algebraic geometry, differential geometry, and partial differential equations. [ 1 ] [ 2 ] Nash and fellow game theorists John Harsanyi and Reinhard Selten were awarded the 1994 Nobel Prize in Economics. [ 3 ] In 2015, Louis Nirenberg and he were awarded the Abel Prize for their contributions to the field of partial differential equations.

As a graduate student in the Princeton University Department of Mathematics, Nash introduced a number of concepts (including the Nash equilibrium and the Nash bargaining solution), which are now considered central to game theory and its applications in various sciences. In the 1950s, Nash discovered and proved the Nash embedding theorems by solving a system of nonlinear partial differential equations arising in Riemannian geometry. This work, also introducing a preliminary form of the Nash–Moser theorem, was later recognized by the American Mathematical Society with the Leroy P. Steele Prize for Seminal Contribution to Research. Ennio De Giorgi and Nash found, with separate methods, a body of results paving the way for a systematic understanding of elliptic and parabolic partial differential equations.

Ideal Wealth Grower

The Age of Abundance: AGI Predictions and Investment Strategy for 2026 ## The imminent emergence of Artificial General Intelligence (AGI) will significantly impact investment strategies, and investors should prepare by accumulating valuable assets, diversifying their portfolios, and adopting a strategic investment approach to capitalize on the growth potential of AGI and the resulting Age of Abundance ##

## Questions to inspire discussion.

Investment Strategy.

🎯 Q: How should I build an investment portfolio for the AGI era? A: Focus on companies with best management and growth potential in AGI, robotics, and space industries using dollar-cost averaging strategy to systematically build positions over time rather than lump-sum investing.

💰 Q: What alternative assets should I accumulate for security during AGI transition? A: Accumulate gold, silver, and Bitcoin as modern safe havens to protect wealth during periods of change and uncertainty as traditional financial systems adapt to AGI disruption.

🏢 Q: Why should real estate be overweighted in an AGI-focused portfolio? A: Overweight real estate compared to company ownership and reserves because AGI and robotics industries will require physical space for operations, data centers, and manufacturing facilities.

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that can reliably tackle various everyday tasks. Training and evaluating these algorithms, however, typically requires extensive efforts, as humans still need to manually label training data and assess the performance of models in both simulations and real-world experiments.

Researchers at Stanford University and UC Berkeley have introduced RoboReward, a dataset for training and evaluating AI algorithms for robotics applications, specifically vision-language reward-based models (VLMs).

Their paper, published on the arXiv preprint server, also presents RoboReward 4B and 8B, two new VLMs that were trained on this dataset and outperform other models introduced in the past.

Boys and girls tend to use different strategies to solve math problems, new research shows

New studies show girls prefer step-by-step math algorithms, while boys favor creative shortcuts. This difference in approach, rather than raw ability, may explain why men continue to outnumber women in advanced STEM fields.

An Accordion Lattice Playing a Soliton Tune

Decades after their experimental realization, wave patterns known as discrete solitons continue to fascinate.

Localized wave patterns in a lattice or other periodic media have been observed using arrays of coupled torsion pendula, chains of Josephson junctions, and arrays of optical waveguides. Joining this diverse repertoire is a recent experiment by Robbie Cruickshank of the University of Strathclyde in the UK and his collaborators [1]. Starting from a Bose-Einstein condensate (BEC) of cesium atoms, the researchers used an ingenious combination of experimental methods to realize, visualize, and theoretically explore coherent wave structures known as discrete solitons. These nonlinear waveforms have long been theorized to exist, and their implications have been extensively studied. In my view, Cruickshank and company’s experiment constitutes the clearest manifestation of discrete solitons so far achieved in ultracold atomic systems, paving the way for a variety of future explorations.

Solitons are localized wave packets that emerge from the interplay of dispersion and nonlinearity. Dispersion tends to make wave packets spread, and nonlinearity tends to localize them. The interplay can be robust and balanced, resulting in long-lived structures. The presence of a lattice introduces a new dimensional unit, the lattice constant, to the interplay, enabling a potential competition between the lattice constant and the scale of the soliton. When the latter is much larger than the former, the soliton is effectively insensitive to the lattice, which it experiences as a continuum. But as the two scales approach one another, lattice effects become more pronounced, and the associated waveforms become discrete solitons. In nonlinear variants of the Schrödinger equation, discreteness typically favors standing waves rather than traveling ones. That’s because the lattice-induced energy barrier known as the Peierls-Nabarro barrier makes discrete solitons less mobile.

Ray Dalio: AI Is Accelerating the Collapse — Most People Aren’t Ready for What’s Next

With rapid advancements in AI and automation, individuals must prepare for a potentially unstable future by building financial strength, adapting to change, and rethinking traditional economic policies to avoid societal collapse ## ## Questions to inspire discussion.

Financial Preparation.

💰 Q: How should I structure my finances to build wealth? A: Focus on the fundamental equation: earn minus spend equals save, then invest that saved amount wisely to determine your financial success, as this simple formula is the foundation of building financial strength.

🏃 Q: When should I consider relocating geographically? A: Evaluate your location during major financial shifts and changing world orders, as the ability to move to better places and away from bad places has been historically important for protecting wealth and opportunity.

Career Strategy.

🎯 Q: How do I choose a career that maximizes financial success? A: Select careers that align with your passions while understanding their financial implications, since the work you do will directly impact your financial success during economic transitions.

Deformable lens enables real-time correction of image aberrations in single-pixel microscopy

Researchers from the Optics Group at the Universitat Jaume I in Castellón have managed to correct in real time problems related to image aberrations in single-pixel microscopy using a recent technology: programmable deformable lenses. The new method was described by the research team in an open-access article recently published in Nature Communications and is part of the development of the European CONcISE project.

The solution proposed by this team combines an adaptive lens (which “shapes” the light wavefront in real time) with a sensorless method that evaluates image sharpness directly from the data, without complex algorithms. This approach corrects distortions caused both by the system and by the sample itself, producing sharper images, close to the physical resolution limit, without adding complexity to the microscope.

This adaptive lens is known as a “multi-actuator adaptive lens” (M-AL), which can be easily integrated into the system without significantly modifying the traditional configuration of a single-pixel microscope based on structured illumination. These types of lenses consist of an optically transparent and deformable membrane (similar to a thin sheet of glass or polymer) that can change shape via actuators distributed around or behind it.

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