From classification to generation within taxonomy The team behind the work, based at PatSnap Co., LTD., led by Linqing Chen with collaborators Weilei Wang, Wentao Wu, and Hanmeng Zhong, is tackling a problem that sits at the heart of how we organize knowledge. In fields as sprawling and nuanced as science, technology, and industry, the…
The dream of a fault‑tolerant quantum computer hinges on qubits that resist the roar of everyday noise. In the hunt for such qubits, a remarkable thread runs through a family of ideas: Majorana zero modes, exotic quasiparticles that behave like their own antiparticles and carry information nonlocally. A team of theoretical physicists from the University…
From Scribbles to Structures Picture a child drawing the Eiffel Tower with a few rough lines and then asking a robot to build it. For humans, this leap from a simple 2D sketch to a towering 3D structure is almost intuitive. But for robots, it’s a puzzle wrapped in ambiguity. They need exact 3D coordinates…
When physicists want to predict how a quantum system evolves, they face a stubborn bottleneck: the sheer size of the mathematical space. The time evolution of a many-body quantum system, encoded as a unitary operator, swallows memory and computation as the number of quantum bits grows. A new study from the Technical University of Munich…
The Large Magellanic Cloud is our closest laboratory for studying the messy, beautiful physics of how galaxies breathe. A team led by Martin G. F. Mayer, based at the Dr. Karl Remeis Observatory in Bamberg and the Friedrich-Alexander University Erlangen-Nürnberg, partnered with colleagues across Europe, Japan, Australia, and the Americas to use the SRG eROSITA…
Building the Future One Layer at a Time 3D printing, or additive manufacturing, has revolutionized how we create objects—from intricate aerospace parts to custom medical implants. But beneath the surface of this seemingly magical layering process lies a complex dance of physics and mathematics. How do you design a structure that not only performs well…
Imagine an AI that not only understands what’s being said in a video but also *sees* what’s being spoken about—even across dozens of languages it’s never heard before. This isn’t science fiction; it’s the reality emerging from groundbreaking research at the Indian Institute of Technology, Madras, led by Sajay Raj. Beyond English-Centric AI Most current…
The mathematics of symmetry is rarely tidy. It bleeds into physics, geometry, and even the way we model information. In the last decade, a thriving language has emerged to capture these ideas: vertex operator algebras, or VOAs. These objects sit at the crossroads of two-dimensional conformal field theory, string theory, and deep algebraic structures. They’re…
The problem of teaching machines to think across languages, images, and the real world isn’t new, but MARBLE takes a rare swing at the gnarly middle ground where perception and planning collide. It isn’t just about solving a riddle or recalling a fact. It asks an artificial agent to chart a careful, step-by-step path through…
The Quiet Revolution in AI Chips Large language models (LLMs) – the brains behind conversational AI like ChatGPT – are getting bigger, more powerful, and… increasingly thirsty for energy. Think of it like this: early LLMs were like sputtering gas-guzzlers, while today’s behemoths are akin to a fleet of jumbo jets constantly needing refueling. This…
In a lab at the University of Minnesota, a new oxide is stepping into the limelight of power electronics. CaSnO3, a calcium tin oxide, sits at the edge of what researchers call ultra-wide bandgap semiconductors—materials that can tolerate enormous voltages before they fail. It’s not just about being tough; it’s about rethinking how we route…
When Silicon Hits Its Limits, Molecules Step In Silicon photonics has been the backbone of modern optical communication, enabling data to zip through fiber networks at blistering speeds. But silicon itself has a stubborn blind spot: it doesn’t exhibit the electro-optic (EO) effect known as the Pockels effect, which is crucial for ultrafast, energy-efficient modulation…
Graphs are people’s stories drawn as networks: arrows and paths that hint at direction, speed, and influence. When researchers study these directed stories, they need a kind of reading tool that can cope with both structure and flow. That tool is directed treewidth, a way to measure how tangled a directed graph is and, crucially,…
Language models have learned to read a room-sized wall of text with the ease of whispering to a friend. They can answer questions, summarize stories, or complete sentences that follow from a prompt. Yet two stubborn realities remain: prompting is powerful but expensive at run time, and fine-tuning the model’s knobs is memory-heavy, risky, and…
In the quiet corners of pure math, symmetry isn’t just about pretty patterns. It’s a language that encodes how complex systems can organize themselves, from crystals to encryption to the shapes of abstract spaces. A new study dives into that language by turning a familiar algebraic object—the dihedral group, the mathematical avatar of a polygon’s…
In the gilded era of billion-parameter neural networks, researchers chase surprises the way astronomers chase novas. Some of those surprises look glamorous on a slide, but they vanish when you bring the model into the messy glow of real world tasks. A recent position paper from the University of Cambridge argues that many of the…
Networks aren’t just graphs with dots and lines; they’re living systems with a hidden grammar. In the field of combinatorial optimization, researchers study how to pack, cut, and rearrange these graphs in ways that feel almost architectural. The latest work from Nagoya University pushes that metaphor from abstract blueprint to a precise, almost musical structure….
The unbounded world of real numbers has a nasty habit: functions can surge to infinity on one side and vanish on the other. Classical polynomials, the workhorses of approximation theory, stumble when faced with that asymmetry. In a striking synthesis of old theory and modern computation, Kingsley Yeon of the University of Chicago and Steven…
The Unexpected Power of Robot Design Imagine walking into your kitchen, not just to the aroma of freshly baked bread, but also to a robot companion ready to help with the evening meal. This seemingly futuristic scenario is fast approaching, as household robots become more sophisticated and common. But a new study from the University…
Ultracold atoms have become one of the most human ways we reach into the quantum world: editing interactions, watching particles dance in a light-made lattice, and letting the laws of physics reveal themselves in slow motion. The latest work from researchers at the Instituto de Física, Pontificia Universidad Católica de Chile, led by Matias Volante-Abovich…