Search Results for "augmented"

...The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. Kernel Memory can ingest documents in multiple formats, process them into embeddings, and store them in searchable indexes. Applications can then query these indexed data sources to retrieve relevant information and include it as context for AI responses.

The most powerful spatial analytics platform to help you understand user behavior within immersive experiences. Identify exactly what users are paying attention to and in what order. Measure training performance and outcomes with employees. Evaluate compliance to improve safety, reduce injury and errors. Collect distributed insights for CPG, AEC and retail environments. Prove out your hypotheses by conducting experiments in VR. Receive scientific accuracy in captured eye-tracking, fixations...

...The platform introduces a concept of “assistants,” which abstract prompting into reusable tools for tasks like translation, summarization, or document analysis, making it easier for non-technical users to leverage AI capabilities. It also incorporates advanced features such as retrieval-augmented generation, plugin extensibility, and support for multiple data sources, allowing users to integrate their own files and knowledge bases into conversations.

...It supports tool/function calling, structured outputs via JSON schema, audio input/output, image generation, embeddings, Whisper transcription, and assistants with retrieval augmented generation.

...It also provides both low-level async APIs and higher-level chain abstractions, giving developers flexibility in how they structure their applications. With built-in support for retrieval-augmented generation and structured pipelines, LangChain .NET is designed for production-ready AI systems.

NatML allows developers to integrate machine learning into their Unity applications in under five lines of code with zero infrastructure. NatML completely removes the need to have any experience with machine learning in order to take advantage of the features it can provide. NatML takes advantage of hardware machine learning accelerators, like CoreML on iOS and macOS, NNAPI on Android, and DirectML on Windows. As a result, it is multiple times faster than Unity's own Barracuda engine. NatML...

...All interface interactions utilize a simple and consistent mechanism, the "hover", which users can perform with any 3D input device. These interfaces are designed specifically for VR/AR applications, addressing the complex UX challenges of these immersive environments. Virtual reality (VR) or augmented reality (AR) applications must provide ways for users to interact -- to select items, to move them, to modify them, to trigger actions, to control their virtual world. The user experience (UX) can become increasingly complex as new features are introduced, leading to a long list of application-specific interactions that can conflict with each other and can be difficult for users to learn. ...

This project intends to modelize a framework for remote controlled airplanes. This framework includes PPM/PCM drivers and data telemetry (location, speed, altitude) based on the SensorsAPI, to provide a reliable augmented reality for FPV flights

SIP.NET is SIP stack .NET library written in C#. SIP message parser realized on Deterministic Finite-state Machine (DFA parse all SIP message for one pass). DFA generates automatically from Augmented Backus–Naur Form from RFC3261.

Livenotes is a Tablet-PC based application that supports cooperative learning in classrooms. Livenotes integrates the functions of augmented note-taking and notes sharing among small groups.