Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

A deep dive into the unseen systems behind Google Search – uncovering live experiments, entity-based infrastructure, AI ...

Aiming at the shortcomings of the standard Artificial Bee Colony (ABC) algorithm due to weak exploitation capability and slow convergence speed caused by one-dimension search, an ABC algorithm with ...

MAKER’s performance is compared with decision tree (DT), support vector machine (SVM), and k-nearest neighbours (KNN) algorithms. A total of 289 posts from @harvard and 507 from @oxford_uni, posted ...

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.0 Flash and OpenAI's GPT-4.1 on ...

AI travel planner using Python, Flask, JSON, PyTorch, Google Gemini API, and Tavily API to generate personalized itineraries from user preferences and real-time data.

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

We design algorithms to address the challenges of scaling ANNS for web and enterprise search and recommendation systems, with a goal to build systems that serve trillions of points in a streaming ...