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
3 day(s) with sentiment data
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New RAMA framework enhances LEO satellite routing with memory
Researchers have developed RAMA, a novel retrieval-augmented multi-agent deep reinforcement learning framework designed for routing in Low-Earth Orbit (LEO) satellite networks. RAMA incorporates an episodic memory syste…
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llama.cpp fork boosts performance on legacy NVIDIA GPUs
A developer has created a fork of the llama.cpp project to enhance performance on older NVIDIA GPUs, specifically targeting Kepler architecture and pre-Ampere models. This fork introduces support for CUDA Graphs and Win…
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AI achieves audited recursive self-improvement, discovering physics laws
Researchers have developed a new method called "Genesis Accounting" to rigorously track and verify instances of recursive self-improvement in AI systems. This system distinguishes between AI-generated content within a p…
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AI challenges definition of mathematical genius, distinguishing mechanical from transcendental thinking
Artificial intelligence is forcing a re-evaluation of mathematical genius and thinking itself, distinguishing between mechanical exploration of existing concepts and transcendental invention of new ones. While AI excels…
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Kepler system achieves perfect score on ARC-AGI-3 using Claude Opus 5
Researchers have developed Kepler, an open-source system designed to create auditable world models for evaluating AI agents on the ARC-AGI-3 benchmark. Using a specific configuration of Claude Opus 5, Kepler achieved a …
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Forward Deployed Engineer role gains prominence amid AI adoption
The role of the Forward Deployed Engineer (FDE) is emerging as a critical, yet often misunderstood, position in the AI industry. FDEs embed within customer operations to solve specific problems, bridging the gap between…
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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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Philosophy methods explore empirical flywheels in science and math
This article discusses two complementary methods for philosophical inquiry: drawing connections between existing concepts and seeking new experiences or knowledge that can update high-level concepts. The author proposes…
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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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EON raises $10.75M for space laser data network
Endeavor Optical Networks (EON) has secured $10.75 million in seed funding to develop a novel satellite-based laser communication network. This system aims to provide high-bandwidth data transfer, exceeding 2.4 terabits…
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Machine learning framework reveals universal dynamical clock for oscillations
Researchers have developed a machine learning framework to establish a universal dynamical clock for understanding complex oscillatory dynamics. This framework, inspired by Ptolemy's equant and Kepler's laws, represents…
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DevOps Weekend Read: Podman 6.0, AI Agent Security, and Kepler Rewrite
This weekend read highlights several technical updates and discussions relevant to the DevOps and AI communities. Key points include Podman 6.0's removal of CNI and cgroups v1, an Auth0 perspective on mitigating risks w…
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Persian Gulf crude oil exports surge in June amid easing tensions · 1 source tracked
Crude oil exports from the Persian Gulf region saw a significant increase in June, surpassing 10 million barrels per day. This rebound is attributed to a de-escalation of tensions in the Middle East and the gradual rest…
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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…