The researchers, which must have a weird Internet connection cause they’re pulling data from OpenAI, Anthropic, Google, DeepSeek, xAI, and MiniMax, tested the models across 28 currency scenarios-store of value, payments, settlement efficiency, and the usual mystery where the AI decides the money it hates most. Spoiler: Bitcoin got everyone’s tops.
Though you think the world is still in the era of iPhones and Wi‑Fi, Pi Network has decided it’s time to bring back the good old days of desktops. The v20.2 upgrade, slated for completion before Pi Day (yes, March 14, 2026-because 14/3 is also a kind of maths joke), is supposed to make the ledger feel safer than a diary in a safe.
A new protocol, VA-DAR, offers a robust and serverless solution for wallet recovery that prioritizes user privacy and resilience against account enumeration.
![Engineered Zeeman splitting creates a linear energy gradient across a five-qubit array fabricated in [latex] ^{28}Si[/latex], enabling individual qubit addressability and positioning inference while simultaneously exposing the system to charge-noise-induced dephasing mediated by two-level fluctuators in surrounding oxides and a cobalt micromagnet, all within a device architecture designed for spin-to-charge conversion and controlled by global microwave rotations under an externally applied magnetic field.](https://arxiv.org/html/2603.03051v1/2603.03051v1/x1.png)
New research reveals that correlated noise in silicon spin qubits, while present, doesn’t preclude the path to scalable, fault-tolerant quantum computers.
Yet, beneath the chaos, the numbers whispered of quiet rebellion. CryptoQuant, that old hound of data, barked that coins were slipping away into cold storage, like a man fleeing a debt collector. Exchange netflows, those fickle barometers of investor mood, tilted toward exodus, as if the market itself had grown weary of the game.
New research reveals fundamental constraints on the ability of function-correcting codes to provide stronger error resilience than traditional data protection methods.
This review explores how to protect sensitive data and maintain reliable control in unmanned aerial vehicle networks facing potential eavesdropping.
New research offers a robust defense against attacks that aim to identify the origin of data used in collaborative machine learning.
A new approach reveals the structure of mirabolic Hecke algebras and their surprising connections to quantum groups and Hall-Littlewood functions.
Researchers have developed a novel system leveraging secure enclaves to continuously verify software authorship and runtime behavior, even under attack.