PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
Abstract: With limited labeled samples, few-shot classification poses a challenge to standard deep models and has attracted a surge of concern. Metric learning based approaches stand out for the ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...
Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...
In this tutorial, we build an advanced Agentic Retrieval-Augmented Generation (RAG) system that goes beyond simple question answering. We design it to intelligently route queries to the right ...
Fans have asked, and the Minnesota Timberwolves have finally answered: The trees are back in Minnesota. The Kevin Garnett-era jersey and court — which were most known for their green tree-lined trim — ...
Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...
What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...
In one interaction CNN found, a user asked Grok to discuss another user “in the style of pirate.” Grok’s initial response made sense for the query; it began its reply with “Argh, matey” and said “no ...
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