Eureka
PulseAugur coverage of Eureka — every cluster mentioning Eureka across labs, papers, and developer communities, ranked by signal.
- 2026-05-26 research_milestone A new LLM-driven framework named Eureka for automated feature engineering was detailed in a research paper. source
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Polish tax rulings API launched for AI agents
A developer has created an API that provides structured access to over 550,000 Polish tax rulings from the Ministry of Finance's EUREKA database. This API, available via Apify, allows AI agents like Claude and ChatGPT t…
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FARL framework automates reinforcement learning pipeline design
Researchers have developed FARL, a framework designed to automate the entire reinforcement learning (RL) design process. FARL tackles the challenge of jointly searching for observation programs, reward functions, learni…
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Somali pirates hijack US-sanctioned oil tanker near Yemen
Somali pirates have hijacked an oil tanker near Yemen, marking the sixth commercial vessel seizure since April. The Eritrean-flagged M.T. Sibu 1, carrying 20 crew members, was taken towards Somalia's Puntland coast. Thi…
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AI Funds Suffer Major Losses Amidst Market Sell-off and Open-Source Competition · 2 sources tracked
Several AI-focused investment funds experienced significant losses in July due to a market downturn in AI infrastructure stocks. Whale Rock Capital, previously boasting a 72.5% return in the first half of the year, saw …
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New MEMENTO framework evolves code-as-policy for embodied AI tasks
Researchers have developed MEMENTO, a novel framework for evolving policies represented as executable code. This memory-guided approach uses a combination of evolutionary methods and local search techniques to improve p…
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Eureka framework automates AI feature engineering with LLM agents
Researchers have developed Eureka, an LLM-driven framework for automated feature engineering in AI. Eureka uses an Expert Agent to create feature design plans, a Feature Factory to generate Python code for these feature…
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New optimization paradigm uses knowledge graphs for input
Researchers have introduced a new optimization paradigm called graph-grounded optimization, which leverages property knowledge graphs as the primary input modality. This approach contrasts with existing systems that rel…