The Rosetta Stone
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Student astronomer discovers 'Rosetta Stone' for mysterious cosmic signals
Student astronomer discovers 'Rosetta Stone' for mysterious cosmic signals Sadie Harley Scientific Editor Robert Egan Associate Editor An international team led by astronomers at the University of Sydney has uncovered the clearest evidence yet for the origin of an unusual class of cosmic signals. In doing so, they have identified a rare stellar system that is providing scientists with a natural laboratory to study extreme physics. Using CSIRO's ASKAP radio telescope, the team discovered a...
Mysterious signals keep coming from space: Astronomers find their 'Rosetta stone'
Mysterious signals keep coming from space: Astronomers find their 'Rosetta stone' Sadie Harley Scientific Editor Andrew Zinin Lead Editor A pair of stars spiraling around each other. That's the origin of a new source of repeating radio bursts we've detected, called ASKAP J1745. In recent years, astronomers have been puzzling over mysterious bursts of radio signals, known as long-period transients because of how slowly they repeat.
A stellar “Rosetta stone” reveals the source of mysterious cosmic signals
A stellar “Rosetta stone” reveals the source of mysterious cosmic signals A star caught cannibalizing its companion has finally revealed the origin of one of astronomy’s most puzzling repeating signals. - Date: - June 2, 2026 - Source: - University of Sydney - Summary: - Astronomers have finally cracked the mystery behind a strange class of repeating cosmic signals that has baffled scientists for years.
Mysterious repeating radio signal traced to 'vampire' star that's slowly eating its companion
Mysterious repeating radio signal traced to 'vampire' star that's slowly eating its companion Radio astronomers have decoded a peculiar repeating radio signal from deep space, tracing it to a vampiric binary star system. A pair of spiralling stars could be a blueprint for decoding mysterious bursts of radio energy coming from space, according to new research. Long-period transients have puzzled radio astronomers since they were first detected in 2022.
Brain scans reveal two distinct types of autism
Brain scans reveal two distinct types of autism Scientists have revealed two hidden brain-based forms of autism, a breakthrough that could help tailor future treatments to each person's biology. - Date: - June 3, 2026 - Source: - Istituto Italiano di Tecnologia - IIT - Summary: - Scientists have uncovered evidence that autism may include at least two biologically distinct subtypes, each marked by a different pattern of brain communication.
Introduction – Rust for Python Programmers
Rust for Python Programmers: Complete Training Guide A comprehensive guide to learning Rust for developers with Python experience. This guide covers everything from basic syntax to advanced patterns, focusing on the conceptual shifts required when moving from a dynamically-typed, garbage-collected language to a statically-typed systems language with compile-time memory safety. How to Use This Book Self-study format: Work through Part I (ch 1–6) first — these map closely to Python concepts...
How the electromagnetic spectrum opened our eyes to the universe
The following is an extract from our Lost in Space-Time newsletter. Each month, we dive into fascinating ideas from around the universe. You can sign up for Lost in Space-Time here.
Scientists locate source of mysterious radio signals after 20 year search: A vampire star and its victim
Scientists locate source of mysterious radio signals after 20 year search: A vampire star and its victim The vampire star is ripping material off that friend. The clashing magnetic fields of a white dwarf star and its neighboring red dwarf star are the source of signals from space that have remained a puzzle for over 20 years, radio astronomers in Australia have found. The signals, or long-period radio transients, are a class of celestial radio emissions discovered in 2005.
The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data
arXiv:2604.18050v2 Announce Type: replace Abstract: AlphaGeometry represents a milestone in neuro-symbolic reasoning, yet its architecture faces a log-linear scaling bottleneck within its symbolic deduction engine that limits its efficiency as problem complexity increases. Recent technical reports suggest that current domain-specific languages may be isomorphic as input representations to natural language, interchanging them acts as a performance-invariant transformation, implying that...