How a simple recursive formula gives rise to a hierarchy of explosive complexity – and why mathematicians want to harness it as a tool for data security.
Google has unveiled TurboQuant, an algorithm that compresses AI's working memory sixfold, which could fundamentally change the approach to neural network infrastructure.
AI: Events
Sony AI in March: A Book on Diffusion Models, Over Ten Accepted Papers, and a Researcher's Recognition
Technical context • Research
Sony AI's March recap includes a new book on generative models, over ten research papers accepted for ICASSP 2026, and recognition for Alice Xiang on a top-100 list.
We explore how mathematicians investigate 'quantum' versions of symmetries and why any complex structure turns out to be assembled from simple, indivisible blocks.
Lab
Cartilage as a Living Battery: What Electrical Signals Reveal About Joint Health
Biology & Neuroscience
Scientists have learned to “listen” to the electrical signals inside articular cartilage – and this opens the door to early arthritis diagnosis long before pain appears.
Lab
How Nuclear Matter 'Freezes' Interactions: The Renormalization Group and the Logic of a Dense Medium
Physics & Space • Nuclear Physics
Why strong interactions become weak in a dense nuclear medium – and how this explains the half-century-old phenomenology of Skyrme forces through the language of modern field theory.
Lab
A Quantum Atom in a 'Noisy' Environment: How Physicists Teach Equations Not to Fall Apart
Physics & Space • Mathematical Physics
How mathematicians construct equations for real-world quantum systems, taking into account noise, loss, and interaction with the environment – not just the ideal 'vacuum' conditions of theory.
Lab
The Voice of a Black Hole: How Quantum Field Theory Helps Us Hear the Oscillations of Charged Collapsars
Physics & Space • General Relativity
What does a maximally charged black hole sound like? Physicists have found a way to calculate its “voice” using methods from quantum field theory.
Lab
How Mathematics Helps Manage Energy: The Koopman Operator and Port-Hamiltonian Systems
Electrical Engineering & System Sciences
We explore how combining two mathematical theories allows us to build models of complex physical systems while preserving their energy properties.