Tess
PulseAugur coverage of Tess — every cluster mentioning Tess across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Spotify enhances AI DJ with new voices and reduced chatter
Spotify is enhancing its AI DJ feature by introducing new voice options and personalities for users. The update allows listeners to select from seven English-language personas, including various accents, and two Spanish…
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AI tool helps user discover planet candidates with TESS data
A Reddit user provided an update on a planet candidate they discovered using Claude Code, noting that the TESS team has now listed both signals they identified as planet candidates. The user's calculated orbital periods…
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Chinese astronomers find planets that survived red giant stars
Chinese astronomers have discovered three planetary systems where planets have survived the red giant phase of their host stars, defying previous predictions. These findings, made using NASA's TESS space telescope, sugg…
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Lightweight CNN-LSTM model EmoNet achieves 96.75% accuracy in speech emotion recognition
Researchers have developed EmoNet, a lightweight deep learning model designed for speech emotion recognition. This model utilizes a combination of a depthwise separable CNN with squeeze-and-excitation attention and a Bi…
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User claims exoplanet discovery using Anthropic's Claude AI
A Reddit user claims to have discovered a potential exoplanet using Anthropic's Claude AI model. The user utilized Claude Code sessions over nine days, with different versions of the model assisting in planning, executi…
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Autonomous AI agents discover 104 new eclipsing binary stars
Autonomous AI agents, powered by Claude models including Fable 5.1 and Opus 5.5, have independently discovered 104 new eclipsing binary stars. The agents developed a novel method for identifying these systems by cross-r…
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AI analyzes 2,900 stars, finds two potential new planets
A Reddit user, not an astronomer, utilized Anthropic's Claude Opus 5.5 to analyze data from approximately 2,900 nearby stars, searching for potential exoplanets. The analysis identified two promising candidates, TIC 451…
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AI tool Claude Code helps user discover potential planet candidate
A Reddit user has detailed how they utilized Claude Code, specifically Opus 5.5 and Fable 5.1, to analyze NASA's TESS telescope data and identify a potential planet candidate. The user employed the AI to parse data, wri…
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New TESS framework improves LLM data selection with transferable scoring
Researchers have developed a new framework called TESS (Transferable Example Scoring and Selection) to improve data selection for training large language models. Existing methods struggle with a trade-off between detail…
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NIST quantum sensors enhance nuclear material monitoring accuracy
Researchers at NIST have developed ultrasensitive quantum sensors that significantly improve the accuracy of monitoring nuclear materials. These sensors, known as transition edge sensors (TESs), precisely measure X-ray …
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New EncoTESS model efficiently analyzes stellar light curves for age prediction
Researchers have developed EncoTESS, a novel Time Series Foundation Model (TSFM) designed to analyze raw TESS light curve data from stars. This model is significantly smaller than typical TSFMs, making it accessible for…
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New Transformer-based ML model identifies microlensing events in TESS data
Researchers have developed Microlensify, a novel machine learning classifier based on the Transformer architecture, designed to identify microlensing events using data from the Transiting Exoplanet Survey Satellite (TES…
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NASA's Roman Space Telescope launches Aug. 30, nine months ahead of schedule
NASA's Nancy Grace Roman Space Telescope is set to launch on August 30th, approximately nine months ahead of its original schedule. This observatory, named after NASA's first chief astronomer, is designed to map billion…
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AI accelerates exoplanet discovery, identifying over 10,000 new candidates
Astronomers, led by Joshua Roth at Princeton University, have utilized advanced AI tools to discover over 10,000 new exoplanet candidates. This significant find, detailed in the paper "The T16 Planet Hunt: 10,000 New Pl…
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New deep learning models enhance speech emotion recognition accuracy and explainability
Researchers have developed new deep learning techniques for speech emotion recognition (SER), a field crucial for advancing human-computer interaction. One study introduces a hybrid DCRF-BiLSTM model that achieves high …
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NASA's TESS finds two rare 'cotton candy' planets in single system
NASA's TESS spacecraft has identified two exceptionally low-density planets, described as "cotton candy" worlds, within the same star system. These planets, TOI-791 b and TOI-791 c, are comparable in size to Jupiter but…
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AI model EXOVEIL detects exoplanets from stellar behavior
Researchers have developed EXOVEIL, a novel system for detecting exoplanets using a Transformer-based world model trained on Kepler light curves. This system learns a star's normal behavior and identifies deviations ind…
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Deep learning W-Net detects asteroids in TESS data
Researchers have developed a new deep learning method called a W-Net, utilizing two stacked 3D U-Nets, to detect asteroids in TESS image data. This approach is robust to variations in asteroid speed and direction, unlik…
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Deep learning infers stellar parameters from short astronomical observations
Researchers have developed a deep learning method to infer asteroseismic parameters from short astronomical observations. The model aims to efficiently analyze data from missions like TESS, which has observed hundreds o…
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LSTM model achieves 99% accuracy in speech emotion recognition
Researchers have developed a novel speech emotion recognition system utilizing Mel-Frequency Cepstral Coefficients (MFCCs) for feature extraction and a Long Short-Term Memory (LSTM) neural network for classification. Th…