synthetic images

A translator at the negotiating table doesn't listen to every word; they grasp the meaning of whole phrases. Electron microscopy poses a similar challenge: you need to figure out the crystal's thickness and its tilt in the beam, and all you have is a diffraction pattern, a mosaic of thousands of bright and dark spots.

A shipping container is a steel safe the size of a room, packed with goods. X-rays struggle to see through it: thick walls and dense cargo block the rays. Enter muons — particles born high in the sky that constantly rain down on Earth. They can pass through even lead, but they veer slightly off course when they encounter something heavy.

In a pot of water, microscopic spheres, colloidal particles, are floating. Each sphere is coated with long polymer chains that look like a brush and carries an electric charge. If you get the temperature and solution composition right, the spheres start arranging themselves into ordered patterns — crystals.

A low-dose X-ray image looks like a view through a fogged-up window: outlines are there, but details drown in a hazy veil. Doctors need such images during radiation therapy — to aim the beam precisely at the tumor and spare healthy tissue. But saving on radiation comes at the cost of noise, streaks, and artifacts that obscure what matters.

Unlike regular cameras, event-based ones only record moments when light becomes brighter or dimmer. They don't produce snapshots; instead, they send an endless stream of such flashes. Scientists turned this stream into a sharp picture of the Earth while flying over it on a satellite. Each flash is like a piece of a mosaic; together they form a still image.

A child exploring an unfamiliar apartment crawls from object to object and remembers what is visible from each corner. This is how the brain builds a mental map — an internal model of space. The gradCSCG algorithm works on the same principle: it receives a video stream from a camera and independently draws a map of the room, relying only on the changing images.

A cook who learns to cook from hand-drawn pictures risks ruining every dish. The same trap awaits computer vision: models need thousands of labeled images, but collecting them manually is expensive and tedious. Synthetic frames solve the problem, but only if they look real.

Tomographs don't produce ready-made pictures. They collect numerous 'shadows' — projections of innards from different angles or using various signals — and mathematically reconstruct a 3D picture from them.

Building a light chip is like a game where you have to guide a beam through a maze of tiny mirrors and beam splitters. Each element acts like a railroad switch: it either lets light pass straight through or directs it to an adjacent track. The goal is to produce a specific light pattern at the output while using as few 'switches' as possible. Usually, engineers spend years finding the shortest route for each task.

The 120 residents of Montelago are not people but digital characters. Each, besides a name and biography, has three hidden coordinates: trust in municipal authorities, assessment of source credibility, perceived adequacy of information. These numbers are known to the creators but not to the system itself.

On the screen is the result of a complex simulation: two planets collided, a shockwave ripples outward. A couple of clicks in an editor, and harsh shadows soften, noise smooths out, the background darkens. This kind of digital retouching (image editing to enhance appearance) has long been part of the scientist’s toolkit.

Generative neural networks that create images typically rely on digital randomness. But a team of researchers built a system where randomness is born not in code, but in a tiny optical cavity filled with an organic dye.

A dance of hundreds of particles: some pairs spin slowly and gracefully, others twitch in a frantic rhythm. To understand the essence of the dance, you need to watch the slow movements: they are the main choreography of the system. In molecular science, such slow movements are called 'slow modes,' and they determine how a protein folds into a ball or how a drug binds to its target.

A plumber clears a clog in a narrow, winding pipe — by feel, without seeing inside. That's roughly how a surgeon feels during mechanical thrombectomy, the operation to remove a blood clot from a brain vessel. Time is short, and every move can either save a life or damage the vessel wall.

Conventional neural networks learn from thousands of examples, burning hours and gigawatts. Physicists have found a quantum workaround. As early as Max Planck showed the discreteness of energy, today this allows generation without training.

Your arm lifts a cup from the shelf — a familiar motion you don't notice until muscles tire. Then the trajectory changes: the elbow shifts slightly, the hand trembles. A doctor usually catches these changes by hand, feeling the patient's muscles.

The hand traces the word "mom" in the air — familiar arcs and strokes. The brain, meanwhile, is not flipping through a photo of each letter. It launches a chain of simple movements.

An artist paints a picture, glancing at the audience in the hall. If the viewer smiles, the artist adds more red and rounded lines to the canvas; if the viewer frowns, the artist removes blue and sharpens the angles.

A wafer-thin film of organic molecules was grown on a silicon substrate. In this film, as if on a sheet of graph paper, tiny "pens"—artificial atoms — were laid out with the tip of a scanning tunneling microscope.

In a field trap, scientists assembled a crystal — 150 ions at ultra-low temperature. Each ion behaves like a tiny magnet, capable of rotating in any direction. By controlling forces that depend on this rotation, physicists made all the magnets swirl into a common vortex called a skyrmion.

A drummer stays silent, but from the pauses you can tell where he didn’t hit. Similarly, physicists built an image by catching not light, but moments of absolute darkness. The picture emerged from silence. In the experiment, they shone light from an ordinary lamp onto the object.

A scanning tunneling microscope probes a molecule with an ultra-fine tip and maps its relief. But the image is flat, while the molecule is three-dimensional. How do you guess a person's pose from their shadow on a wall?

A chef tastes the soup after every pinch of salt and instantly decides what to add next. That's roughly how the new setup for growing thin crystalline films works — except instead of taste, it uses an image from an electron microscope, and instead of a chef, a computer program.

The night sky is not all that dark. Even far from cities, it glows faintly — which hampers astronomers trying to catch weak flashes from distant cosmic rays.

Porous zeolite minerals work like tiny sponges with holes of a strictly defined size. Through such holes, molecules of one kind pass while others get stuck: this is the basis for water purification, gas separation, and catalysis in petrochemistry.

Computed tomography is like an X-ray that takes hundreds of images from different angles and stitches them into a 3D picture of the body. But each image delivers a small dose of radiation, and doctors need to know how much each organ receives. Currently, this is often estimated roughly using average tables rather than for the specific patient.