Best AI tools for< Spatial Computing Engineer >

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

Meltface Typeface is a book about the future of design in the age of AI agents, spatial computing, and ambient UX. It is written by Casey Fictum, a designer and philosopher who has been thinking about the future of technology for over 20 years. The book is divided into nine chapters, each of which explores a different aspect of the future of design. Chapter 1, "The Dawn of Ambient Intelligence," discusses the rise of AI agents and their potential to change the way we live and work. Chapter 2, "Artificial - This Thing Isn't Human," explores the challenges of designing AI agents that are both useful and ethical. Chapter 3, "Spatial - Around My Reality," discusses the potential of spatial computing to create new and immersive experiences. Chapter 4, "Ambient - There, But Not," explores the concept of ambient UX and how it can be used to create more seamless and intuitive experiences. Chapter 5, "Actioned - Do Things on Our Behalf," discusses the potential of AI agents to automate tasks and help us get things done. Chapter 6, "Philosophy for AI Agent Design," provides a philosophical framework for designing AI agents that are both ethical and effective. Chapter 7, "Frameworks for the Future of Design," provides a set of frameworks for thinking about the future of design. Chapter 8, "Guessing the Future of UX Design," speculates on what the future of UX design might look like. Chapter 9, "Finding Meaning & Purpose in the Future of Design," discusses the challenges and opportunities of designing for a future that is increasingly shaped by AI.

The website offers an AI Spatial Design tool that revolutionizes spatial design by providing advanced intelligence for creating and interacting with spaces. It features high-fidelity 3D modeling, real-time interaction, and transforming photos into visual experiences. Users can customize their buyer journey, boost walk-ins, and elevate living spaces with spatial intelligence. The tool also offers services for cabinet design, flooring, wall fill, countertop fill, furniture replacement, interior design, home redesign, partial remodel, and virtual staging.

Spatial.ai is a customer segmentation platform that helps businesses understand their customers' social, mobile, and web behaviors. This data can be used to create targeted marketing campaigns, make better location decisions, and develop predictive models. Spatial.ai's data is built directly from organic consumer behavior, which means richer insights and higher accuracy.

Nucleai is an AI-driven spatial biomarker analysis tool that leverages military intelligence-grade geospatial AI methods to analyze complex cellular interactions in a patient's biopsy. The platform offers a first-of-its-kind multimodal solution by ingesting images from various modalities and delivering actionable insights to optimize biomarker scoring, predict response to therapy, and revolutionize disease diagnosis and treatment.

Avataar.ai is an AI-powered platform that enables users to create Gen-AI product videos quickly and easily. The platform offers high-quality solutions for visual content needs, including 3D models, videos, spatial experiences, and imagery. Avataar's proprietary creation platform leverages cutting-edge AI technology to drive immersive visual content creation, helping businesses enhance their marketing efforts and engage with customers effectively.

FlyPix is an AI-enabled geospatial solutions platform that leverages advanced AI technology to transform object detection, localization, tracking, and monitoring in the field of geospatial technology. The platform offers a wide range of capabilities, including AI-driven object analysis, change and anomaly detection, dynamic tracking, and custom use cases tailored to meet unique industry needs. FlyPix aims to provide unparalleled precision and efficiency in operations by converting complex imagery into actionable, geo-referenced insights.

Orbbec is a leading provider of 3D vision technology, offering a wide range of 3D cameras and sensors for various applications. With a focus on AI, optics, and advanced algorithms, Orbbec empowers developers and enterprises to create immersive experiences, precise measurements, and advanced visualizations. Their products include stereo vision cameras, ToF cameras, structured light cameras, camera computers, and lidar sensors, catering to industries such as manufacturing, healthcare, robotics, fitness, logistics, and retail.

Flux AI is an image generator tool that utilizes the Flux.1 model to create stunning images from text descriptions. It offers precision text rendering, complex composition mastering, enhanced anatomical accuracy, and diverse model variants to cater to various creative needs. Users can easily generate images by selecting the model, entering a description, and clicking 'Generate'. Flux AI is open-source and developed by Black Forest Labs, providing a seamless experience for image creation.

OpenSpace is an AI-powered reality intelligence platform that provides complete visual records of construction projects, enabling efficient project management. It uses Spatial AI technology to automate site capture and simplify documentation, helping teams save time, increase productivity, and reduce risks. With features like field notes, mobile app, and quick image mapping, OpenSpace streamlines workflows for QA/QC, RFIs, and punch lists. The platform offers clear visual proof of site conditions, reducing rework and insurance costs. OpenSpace is known for its reliability, speed, and power, making it a trusted solution for industry leaders in construction.

Zensors is an AI application that offers Visual AI agents for real-world understanding. It provides a Spatial AI platform for spatial monetization, Virtual Manager AI solution to automate location operations, and On-Prem AI for understanding spaces, monitoring service processes, forecasting accurately, and ensuring efficiency. Zensors leverages Multimodal AI for video understanding and Spatial AI for structuring unstructured data. The application caters to various industries such as Aviation, Retail, and Commercial Real Estate, offering operational efficiencies, strategic planning, financial performance, safety, and sustainability through AI-driven solutions.

Algoriddim is a leading DJ software and app provider offering a range of innovative tools for DJs of all levels. Their flagship product, djay, is an award-winning DJ software seamlessly integrated with Apple Music. With features like real-time stem separation, spatial DJing, and AI-powered Automix mode, djay provides a powerful and intuitive DJ experience across mobile, desktop, and spatial devices. Algoriddim also offers a range of premium DJ controllers and accessories, trusted by world-renowned DJs. The company has received numerous awards and accolades for its technical ingenuity and immersive music experience.

Outsight is an AI application that utilizes LiDAR technology to provide end-to-end passenger journey tracking, enhance airport operations, improve security solutions, and transform various industries. The application offers high-accuracy, all-weather monitoring, reduces false alarms, and enhances perimeter and access control. Outsight collaborates with industry leaders to deliver unprecedented solutions in the field of Spatial AI, making spaces truly smart and revolutionizing the way we perceive reality.

Herewe Studio is a web-based 3D modeling studio that offers an easy-to-use platform for spatial and avatar design. It provides an advanced 3D render engine on the web, eliminating the need for heavy render engines for high-quality metaverse experiences. Users can leverage the Herewe 3D asset ecosystem to place objects in existing spatial templates and create immersive 3D designs. The platform also features a Text-to-3D AI for spatial and avatar design using Generative AI. Additionally, Herewe Studio allows users to add ambient light effects, 3rd party extensions, and various contents to enhance their creations.

Plnar is a smartphone imagery platform powered by AI that transforms smartphone photos into accurate 3D models, precise measurements, and fast estimates. It allows users to capture spatial-ready imagery without special equipment, enabling self-service for policyholders and providing field solutions for adjusters. Plnar standardizes data formats from a single smartphone image, generating reliable data for claims, underwriting, and more. The platform integrates services into one streamlined solution, eliminating inconsistencies and manual entry.

DecorAI.xyz is an AI-driven interior design tool that allows users to generate dream rooms using artificial intelligence. By simply taking a picture of a room, users can see how it looks in different themes and receive personalized design suggestions. With exceptional training on a massive dataset of 160 million design samples, DecorAI optimizes spatial layouts, provides cost-effective design solutions, and saves time compared to traditional interior design methods. The tool caters to homeowners, renters, and small businesses looking to redesign their spaces without the need for an expensive interior designer.

VOLV is an AI application that enhances the shopping experience by providing personalized product suggestions based on individual's facial/body features. It offers recommendations for eyewear, jewelry, makeup, personal grooming, and apparel, transforming the online shopping experience across various industries. Additionally, VOLV introduces Spatial Technology, allowing customers to engage with products in hyper-realistic 3D interactive lines and try products virtually before buying. The application prioritizes privacy and security, ensuring encrypted end-to-end experiences.

EDGE is an AI-powered tool for editable dance generation from music. It utilizes a transformer-based diffusion model paired with Jukebox to create realistic and physically-plausible dances while staying faithful to input music. The tool offers powerful editing capabilities such as joint-wise conditioning, motion in-betweening, and dance continuation. EDGE has been compared to other methods like Bailando and FACT, with human raters showing a strong preference for dances generated by EDGE. The tool supports arbitrary spatial and temporal constraints, enabling the creation of various dance choreographies from music.

OddBooks is an AI-powered platform that transforms books into scenarios and various content types such as audiobooks, webtoons, animations, and movies. It offers a simple engine to create scenarios based on books, revolutionizing the process of producing derivative works. Users can easily extract character names, emotions, spatial and sound keywords, and even infer character personalities from the text. With OddBooks, users can efficiently create scripts for secondary works, saving time and resources.

Terragentic is an AI-driven geospatial technology company that empowers sustainable resource management and transformative decision-making. They provide cutting-edge geospatial services, precise mapping, advanced data analytics, and innovative applications of artificial intelligence to solve complex challenges across diverse sectors. Terragentic is committed to environmental stewardship, ethical business practices, and delivering high-quality, AI-enhanced, accurate, and actionable geospatial intelligence to empower industries.

visionOS-examples is a repository containing accelerators for Spatial Computing. It includes examples such as Local Large Language Model, Chat Apple Vision Pro, WebSockets, Anchor To Head, Hand Tracking, Battery Life, Countdown, Plane Detection, Timer Vision, and PencilKit for visionOS. The repository showcases various functionalities and features for Apple Vision Pro, offering tools for developers to enhance their visionOS apps with capabilities like hand tracking, plane detection, and real-time cryptocurrency prices.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

X-AnyLabeling is a robust annotation tool that seamlessly incorporates an AI inference engine alongside an array of sophisticated features. Tailored for practical applications, it is committed to delivering comprehensive, industrial-grade solutions for image data engineers. This tool excels in swiftly and automatically executing annotations across diverse and intricate tasks.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

PaddleScience is a scientific computing suite developed based on the deep learning framework PaddlePaddle. It utilizes the learning ability of deep neural networks and the automatic (higher-order) differentiation mechanism of PaddlePaddle to solve problems in physics, chemistry, meteorology, and other fields. It supports three solving methods: physics mechanism-driven, data-driven, and mathematical fusion, and provides basic APIs and detailed documentation for users to use and further develop.

This repository contains a curated list of cutting-edge works in Simultaneous Localization and Mapping (SLAM). It includes research papers, projects, and tools related to various aspects of SLAM, such as 3D reconstruction, semantic mapping, novel algorithms, large-scale mapping, and more. The repository aims to showcase the latest advancements in SLAM technology and provide resources for researchers and practitioners in the field.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Receive trusted and up-to-date information on the metaverse and spatial computing, sourced from a curated database by Tom Ffiske. Updated weekly with the latest data, and current in Beta.

Guides users through beautiful landscapes with spatial audio for immersion.

平面设计师、创意设计师、视觉设计师、空间设计师、艺术家、插画师、美术家、绘画师

A scholarly geography resource with extensive knowledge from books and papers.

Expert in QGIS Geometry Generator expressions, providing detailed, educational, and clear guides.

Guides on map reading and interpretation, with an educational and practical approach.

GIS specialist providing expert advice, analysis, and solutions related to geographic data.

Expert in GIS, guiding users through learning, troubleshooting, automation and practical applications.