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New Open-Source Framework Demonstrates AI Personas With - openPR.com
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New Open-Source Framework Demonstrates AI Personas With - openPR.com

GNews AI open sourceMarch 31, 20261 min read0 views
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<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNZkZOQjlsOGlyZ21GLWFtQVE0Z0pvTURiUzNsZWhPVEFISWVTVEpzSGNqWVBuZlJQUFgyMHFmdzZKeElKdjRCaUxaczdWQ0dRcmRGZ3NyVFZoZEdoLVA4MmJCTkxHWnZCNDR1OGdnWEJhdlVjaEwybXhSMEdOeFp4VkRBNngwRWFfb1dyX1gtVGxsZk1TbUE?oc=5" target="_blank">New Open-Source Framework Demonstrates AI Personas With</a> <font color="#6f6f6f">openPR.com</font>

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https://news.google.com/rss/articles/CBMilgFBVV95cUxNZkZOQjlsOGlyZ21GLWFtQVE0Z0pvTURiUzNsZWhPVEFISWVTVEpzSGNqWVBuZlJQUFgyMHFmdzZKeElKdjRCaUxaczdWQ0dRcmRGZ3NyVFZoZEdoLVA4MmJCTkxHWnZCNDR1OGdnWEJhdlVjaEwybXhSMEdOeFp4VkRBNngwRWFfb1dyX1gtVGxsZk1TbUE?oc=5
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A new tool is revealing the invisible networks inside cancer
Countries

A new tool is revealing the invisible networks inside cancer

Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving cancer. Called RNACOREX, the software can analyze thousands of molecular interactions at once, revealing how genes communicate inside tumors and how those signals relate to patient survival. Tested across 13 different cancer types using international data, the tool matches the predictive power of advanced AI systems—while offering something rare in modern analytics: clear, interpretable explanations that help scientists understand why tumors behave the way they do.

ScienceDaily Robotics
1m3 months ago
Beyond Static RAG: Using 1958 Biochemistry to Beat Multi-Hop Retrieval by 14%
Open Source AILive

Beyond Static RAG: Using 1958 Biochemistry to Beat Multi-Hop Retrieval by 14%

<p>Standard Retrieval-Augmented Generation (RAG) often falls short on complex, multi-hop questions because it relies on static "lock and key" query matching. If the information needed to answer a query is semantically distant from the original text, standard vector search simply won't find it.</p> <p>We've developed Induced-Fit Retrieval (IFR), a dynamic graph traversal approach that mutates the query vector at every step to discover semantically distant but logically connected information.</p> <p>The Core Results<br> We ran our prototype through a rigorous test suite of 30 queries across multiple graph sizes, up to 5.2 million atoms.</p> <p>14.3% higher nDCG@10 compared to a competitive RAG-rerank baseline.</p> <p>15% Multi-hop Hit@20 in scenarios where traditional RAG methods scored 0%.<

DEV Community
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The Agent Economy Needs Infrastructure, Not Custody
ProductsLive

The Agent Economy Needs Infrastructure, Not Custody

<p>The AI agent economy is about to get very real. When Claude needs to call an API, when a trading bot wants to execute a swap, or when an autonomous researcher needs to purchase a dataset — how do they pay? Today's answer is simple: they don't. Humans set up accounts, deposit funds, and babysit every transaction. But that doesn't scale when you have thousands of agents operating independently.</p> <p>The missing piece isn't smarter AI or better models. It's financial infrastructure that agents can operate autonomously — wallets they control, policies they respect, and payment rails they can use without human intervention.</p> <h2> Why Agent Wallets Matter More Than Agent Intelligence </h2> <p>We're building increasingly sophisticated AI agents that can write code, analyze markets, and ma

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8m28 minutes ago

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