AI - Data - Apps - Cybernetics Archives - Page 11 of 40

graphical abstract - University of Oxford/Breakthrough Listen

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Biosignatures & Paleobiology, Intelligence & Language, Interstellar, Press Release, SETI & Technosignatures

Revolutionary AI System Achieves 600× Speed Breakthrough in Detection of Signals from Space

by Keith CowingNovember 6, 2025

In an exciting leap forward for astronomy, researchers at the Breakthrough Listen initiative, in partnership with NVIDIA, have achieved a groundbreaking advancement in the search for Fast Radio Bursts (FRBs), […]

ReplicationBench evaluates AI agents on end-to-end astrophysics research paper replication. For each paper, we supply the manuscript, dataset, and execution metadata, and a complete set of author-written tasks. We evaluate LLM agents in multi-turn code execution environments and conduct both automatic and expert human grading of traces. -- cs.CL

AI - Data - Apps - Cybernetics, Citizen Science / Open Science, Education and Outreach, Genomics, Proteomics, Bioinformatics, Mapping, Geodesy, Cartography, Bathymetry, Nomenclature, Systematics, Natural History, Status Report

ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

by Keith CowingOctober 31, 2025October 31, 2025

Frontier AI agents show increasing promise as scientific research assistants, and may eventually be useful for extended, open-ended research workflows.

This illustration shows a red dwarf star orbited by a hypothetical exoplanet. Red dwarfs tend to be magnetically active, displaying gigantic arcing prominences and a wealth of dark sunspots. Red dwarfs also erupt with intense flares that could strip a nearby planet’s atmosphere. -- NASA

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Habitable Zones, Press Release, Radiation, Space Weather & Heliophysics

The Largest Ground-based Catalogue Of M-dwarf Flares

by Keith CowingOctober 30, 2025October 30, 2025

We present the largest ground-based catalogue of M-dwarf flares to date, comprising 1,229 time-resolved events identified in Zwicky Transient Facility Data Release 17.

The Teledyne Marine-Rutgers University Sentinel Redwing autonomous underwater vehicle is embarking on an underwater journey that could be a world first: circumnavigating the globe. -- Teledyne Marine

AI - Data - Apps - Cybernetics, Analog Studies, Arctic / Antarctic / Alpine, Biosignatures & Paleobiology, Exploration Gear & Tech, Habitable Zones, Icy Worlds, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Missions & Hardware, Press Release, ROVs/Submersibles/Diving, Sample Return, Tricorders & Sensors, Water/Hycean Worlds & Oceanography

An Autonomous Robotic Glider Will Circle And Explore Our Ocean Planet

by Keith CowingOctober 29, 2025October 29, 2025

Editor’s note: When we start to mount Astrobiology missions to explore ocean worlds we’ll need ways for our robotic submersibles to observe and interact with whatever life forms they may […]

AI - Data - Apps - Cybernetics, Astronomy & Telescopes, Press Release, SETI & Technosignatures

SETI Institute Accelerates the Search for Life Beyond Earth with NVIDIA IGX Thor

by Keith CowingOctober 28, 2025October 29, 2025

The SETI Institute announced that it will incorporate the new NVIDIA IGX Thor platform to enhance its real-time search for signals from space at the Allen Telescope Array (ATA) in […]

Figure reproduced from H. Toru Shay et al. (2025). The detected inventory of TMC–1 molecular species and their column densities is converted into numerical vectors with the VICGAE model. The vectorized strings and the corresponding column densities are then used to train a machine learning regressor. Through learning the relationship between vectorized molecular structures and their column densities, the model is optimized to find the best fit. Once trained, the best-fit model can predict column densities for new molecules and be used to identify potential detection targets in TMC–1. -- The Astrophysical Journal

AI - Data - Apps - Cybernetics, Astrochemistry, Astronomy & Telescopes, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology, Imaging & Spectroscopy, Status Report

Bridging Machine Learning and Spectroscopy: A New Analysis for Astrochemical Target Selection

by Keith CowingOctober 27, 2025October 27, 2025

In the last few years, several approaches have used machine learning to reproduce the inventory and column densities of interstellar molecular sources.

Visual characteristics observed according to treatment, polygon distribution, sand/clay ratio, primary/secondary desiccations ratio, shapes (type and size), and color on the top of the polygonal forms. A = abiotic control; C = cyanobacteria; D = diatoms; G = green algae; M = mixed; B = biotic strains; 1 = low biomass; 2 = high biomass.

AI - Data - Apps - Cybernetics, Biogeochemical Cycles & Geobiology, Biophysics, Biosignatures & Paleobiology, Imaging & Spectroscopy, Mars, Microbiology & Virology, Press Release

Artificial Intelligence-Enhanced Detection of Biogenicity Using Laboratory Specimens of Biologically and Microbially Induced Sedimentary Structures in a Controlled Experiment

by Keith CowingOctober 24, 2025October 25, 2025

The search for traces of life can be based on the detection of specific signatures produced by microorganisms on sedimentary rocks.

Schematic representation of the relationship between criteria, “arguments,” and false positive/negative potential within the Life Detection Knowledge Base (LDKB). Knowledge sourced from peer-reviewed publications is represented in the LDKB in the form of user-created “arguments” that are organized according to whether they (i) relate to biological or abiotic sources of a given PB, (ii) concern prevalence or signal strength, and (iii) argue for high versus low prevalence or signal strength. PB, potential biosignature. -- Astrobiology via Sage Journals

AI - Data - Apps - Cybernetics, Biosignatures & Paleobiology, Status Report, Tricorders & Sensors

Life Detection Knowledge Base: Assessment Criteria for Potential Biosignatures

by Keith CowingOctober 22, 2025October 22, 2025

Astrobiology and the search for evidence of life beyond Earth are now key drivers for planetary science and astronomy missions.

Generic structure of the taxonomy of potential biosignatures (PB). The taxonomy consists of three generic categories (chemistry, structure, activity) thought to represent universal attributes of life. Each category comprises two tiers or taxonomic levels. The first tier are measurable attributes of substances and objects or time-dependent processes characteristic of that category. The second tier are the specific substances and objects whose attributes are measured. Potential biosignatures in each category are defined by combining one element from the first tier and one element from the second tier. -- Astrobiology via Sage Journals

AI - Data - Apps - Cybernetics, Biophysics, Biosignatures & Paleobiology, Nomenclature, Systematics, Natural History, Status Report

Life Detection Knowledge Base: Taxonomy of Potential Biosignatures

by Keith CowingOctober 20, 2025October 20, 2025

The Life Detection Knowledge Base (LDKB) is a community webtool developed to test and evaluate strategies to search for evidence of life beyond Earth, with an emphasis on recognizing potential […]

A replacement has now been found for the underwater vehicle Ran, which contributed to a wealth of new knowledge about the Thwaites Glacier in Antarctica, among other things. Ran II will be delivered in just over a year, in the winter of 2026/2027. Credit Filip Stedt

AI - Data - Apps - Cybernetics, Arctic / Antarctic / Alpine, Exploration Gear & Tech, Icy Worlds, Imaging & Spectroscopy, Mapping, Geodesy, Cartography, Bathymetry, Polar / Alpine Expeditions, Press Release, Robotics/Rovers/UAVs, ROVs/Submersibles/Diving, Water/Hycean Worlds & Oceanography

Replacement Found For The Lost Underwater Vehicle Ran

by Keith CowingOctober 17, 2025

The deal is done for the new underwater vehicle that will replace Ran, the submarine that was lost under a glacier in Antarctica in 2024. A large donation means that […]