Kepler
PulseAugur coverage of Kepler — every cluster mentioning Kepler across labs, papers, and developer communities, ranked by signal.
- 2026-05-22 product_launch Kepler's verifiable AI platform achieved 94% accuracy in financial document analysis.
- 2026-05-22 research_milestone Kepler's verifiable AI platform achieved 94% accuracy in financial document analysis, significantly outperforming general-purpose AI models.
- 2026-05-03 product_launch Kepler launched its verifiable AI platform for financial services, leveraging Anthropic's Claude model. source
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Old NVIDIA Kepler GPUs resurrected for modern LLM inference
A technical project has successfully enabled modern large language models (LLMs) to run on older NVIDIA Kepler GPUs, specifically a GTX 770, which are typically considered obsolete. This was achieved by patching the pro…
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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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OpenAI's Kepler: An AI Data Analyst for Massive Datasets
OpenAI has developed an internal AI data analyst named Kepler, capable of processing over 600 petabytes of data and 70,000 datasets daily. This system leverages MCP, retrieval-augmented generation (RAG), and vector sear…
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TransitNet deep learning model enhances exoplanet detection accuracy
Researchers have developed TransitNet, a deep learning framework designed for detecting exoplanets with low signal-to-noise ratios. This model demonstrates high accuracy in identifying Earth-sized planets, achieving 95.…
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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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Brian Cox discusses AI risks and the limits of scientific explanation
Professor Brian Cox discussed the role of science in understanding complex phenomena, including the potential risks associated with artificial intelligence. The interview touched upon the limits of scientific explanatio…
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New AI framework DELOS enhances exoplanet transit detection
Researchers have developed DELOS, a new framework utilizing contrastive learning to detect shallow transits in astronomical data, specifically from the Kepler telescope. This method is designed to identify faint planeta…
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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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Kepler uses Claude AI for 94% accurate financial document analysis
Kepler has developed a verifiable AI platform for financial services, leveraging Anthropic's Claude model to provide auditable answers from financial documents. The platform achieves 94% accuracy in extracting specific …
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Magnite and Optable integrate AI agents to enhance advertising and commerce
Magnite has launched new AI-powered buyer agent and mediation tools, with early adopters including Disney Advertising, Kepler, MiQ, and Spectrum Reach. Separately, Optable and Goodway Group are partnering to integrate a…
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LLMs struggle with complex system design; Kepler framework offers structured alternative
A new research paper explores the limitations of large language models (LLMs) in designing complex networked systems. The study found that LLMs struggle with architectural reasoning, often overlooking critical constrain…