The universe is full of surprises, and sometimes those surprises come in the form of ghostly, almost-there particles clinging to the edges of existence. A team of physicists at the University of Birjand and RIKEN have proposed the potential existence of a peculiar nucleus: a form of beryllium-9 (9Be) bound to a charmonium particle (c¯c)…
Boundary layers are the quiet borderlands where fast-moving gas meets a wall or edge. In engineering, they decide where heat sticks, where drag bites, and where shocks lurk just out of sight. A new study led by Yi Wang, Yong-Fu Yang, and Qiuyang Yu—working across the Chinese Academy of Sciences and its partner institutions—pulls back…
Turbulence isn’t just chaos; it’s a city of whirlpools and sudden gusts, a dance of motion that somehow resembles a living organism with moods and memory. In two dimensions, that mood is easier to trace. If you draw a loop around a patch of swirling water, the line integral of the fluid’s velocity around the…
Medical imaging has become the nervous system of modern medicine. From a patient’s chest x-ray to a biopsy’s tissue slide, doctors build a map of what’s happening inside the body. Yet the tools that help interpret these images are often siloed by modality (the kind of image) and by specialty (radiology, ophthalmology, pathology, dermatology, and…
The Challenge of Visualizing Supercomputer Data Imagine a bustling city, its streets teeming with vehicles representing computing jobs, each vying for access to limited resources. That’s the complex landscape of supercomputer queue data – a rich source of information but also a tangled web of variables and processes. Scientists, machine learning researchers, and system maintainers…
A Single MRI Image Learns to Segment Tumors On Its Own In hospitals, the moment a patient walks in with a new MRI scanner or a fresh imaging protocol, the clock starts ticking for doctors and the artificial intelligence tools they lean on. Deep learning models trained on one set of machines often stumble when…
Highlights A new statistical approach makes externally controlled single-arm trials more trustworthy by marrying two ideas: balancing covariates to mimic a randomized comparison, and modeling outcomes to guard against misspecification. The result is a doubly robust method that performs well when either the covariate balance model or the outcome model is correct, improving precision and…
When you ask a graph neural network to label a node in a sprawling network, you’re not just seeking a single prediction. You’re asking the model to bet on its own certainty. In many real-world settings—medical diagnoses, fraud detection, or network security—that certainty matters as much as the answer itself. Yet researchers have found that…
The Dawn of Push-Button Biologics For centuries, the discovery of new medicines has been a painstaking process, a needle-in-a-haystack search through millions of molecules. But what if we could design drugs with the precision of a seasoned architect, bypassing the time and cost of traditional methods? That’s the promise of a new AI model, Latent-X,…
The Enigma of Glassy Systems Imagine a landscape so rugged and complex that even the slightest nudge sends you tumbling down a different slope. This is the essence of a glassy system, a state of matter found everywhere from disordered magnets to supercooled liquids. These systems exhibit extraordinarily slow dynamics, aging effects, and other bizarre…
Imagine trying to understand the entire Amazon rainforest, not just from a few scattered ground surveys, but from the dizzying amount of data pouring in from satellites. That’s the kind of challenge that inspires researchers to find clever shortcuts in statistical analysis. A new study from the University of Arizona offers a way to tame…
In the data-driven world, researchers want to learn from sensitive information without exposing the individuals behind the numbers. Differential privacy, a formal way to guard each person’s imprint, has long traded a bit of accuracy for a large shield of confidentiality. Yet as data grow in dimension and messiness—think dozens or hundreds of variables per…
Imagine trying to solve a maze, but you can only look forward, never back. You’d probably stumble into a lot of dead ends, right? That’s kind of how current AI models tackle complex problems like math reasoning. They move step-by-step in a single direction, and if they mess up early on, it’s tough to correct…
On social media, the drumbeat of hate can feel like an unignorable hum that grows louder when a language doesn’t have a well-armed toolkit to police it. Bengali, spoken by hundreds of millions in Bangladesh and parts of India, is a prime example: a vibrant, evolving tongue that also carries unique dialects, code-mixing, and misspellings…
Short videos are the newborns of the internet: bright, bite-sized, and almost impossible to resist. But as feeds pile up with millions of clips, the question isn’t just what you should watch next; it’s how the system decides what you’ll likely enjoy in the first place. The answer, in part, lies in the secrets behind…
Meet FlexQ: A Six-Bit Quantization Breakthrough The team behind FlexQ hails from the Guangzhou Institute of Technology and Xidian University, with collaborators at CSEE, Hunan University. Led by Hao Zhang and Xin He, the work tackles a core bottleneck in AI today: how to run colossal language models on hardware that isn’t built for them….
Cosmology often feels like a treasure hunt along a foggy shoreline, where equations sketch the tides of time and the shape of space. A Brown University team turns the hunt inward, asking not for a single grand law but for the way a whole family of diagrams stitches together the universe’s wavefunction, diagram by diagram….
Intro — a quiet harmony inside cryptography’s wild algebra Boolean functions are the backstage crew of modern cryptography: tiny, binary machines that help scramble and unscramble information in ways that look random but are governed by precise rules. Among these, a special breed called bent functions stands out for its perfect nonlinear charm. They’re the…
What if the deepest laws of physics aren’t quite as symmetrical as we think? For decades, physicists have operated under the assumption that the universe behaves in predictable ways, regardless of whether you’re looking at a process or its mirror image. This idea, known as CP symmetry (charge parity), suggests that if you swap a…
The universe loves extremes. In the crushing depths of giant planets and in laboratories that push materials to unimaginable pressures, elements behave in ways they never would on Earth’s doorstep. A team of researchers, spanning the China Academy of Engineering Physics, Sichuan University, and Peking University, set out to map what helium can do when…