Many term calculi, like lambda calculus or pi calculus, involve binders for names, and the mathematics of bound variable names is subtle. Schoenfinkel introduced the SKI combinator calculus in 1924 to clarify the role of quantified variables in intui...
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is `database,' and the equivalent of `use' is `way to search the database.'...
The current multimodal turn in linguistic theory leaves a crucial question unanswered: what is the meaning of iconic gestures, and how does it compose with speech meaning? We argue for a separation of linguistic and visual levels of meaning and intro...
HIPE-2026 is a CLEF evaluation lab dedicated to person-place relation extraction from noisy, multilingual historical texts. Building on the HIPE-2020 and HIPE-2022 campaigns, it extends the series toward semantic relation extraction by targeting the...
When artificial agents are jointly trained to perform collaborative tasks using a communication channel, they develop opaque goal-oriented communication protocols. Good task performance is often considered sufficient evidence that meaningful communic...
and influential elements of a paper. The AI technology is designed to identify hidden connections and links between research topics. Like the previously
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesa…
Tags: python, nltk, semantics, relation, knowledge-base-population | Score: 6 | Answered: Yes
Computational Intelligence: a Logical Approach is a new textbook on artificial intelligence (AI). It covers logic, reasoning, representation, learning, probability, robotics, search, abduction, Prolog.
George Luger's Artificial Intelligence
Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-scal…
Haystack is an open-source framework for building scalable semantic search and QA pipelines with document indexing, retrieval, and reader components
Build multi?agent systems the right way with Microsoft Foundry. Go from single?agent prototypes to fleet?level orchestration using the Foundry Agent Framework (Semantic Kernel + AutoGen), shared state, Human in the loop, OpenTel, MCP toolchains, A2A, and the Activity Protocol. Br…
Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
Parameter-efficient finetuning (PEFT) methods seek to adapt large neural models via updates to a small number of weights. However, much prior interpretability work has shown that representations encode rich semantic information, suggesting that editing representations might be a…
Perplexity.AI is the creator of Perplexity Ask, a revolutionary AI-based conversational answer engine that combines large language models with a robust semantic search engine. As a typical startup—with a lean staff and a leaner budget—the company needed a platform for Perplexity…