Tess
PulseAugur coverage of Tess — every cluster mentioning Tess across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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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…