Best AI tools for< Develop Autonomous Systems >

Tangram Vision is a company that provides sensor calibration tools and infrastructure for robotics and autonomous vehicles. Their products include MetriCal, a high-speed bundle adjustment software for precise sensor calibration, and AutoCal, an on-device, real-time calibration health check and adjustment tool. Tangram Vision also offers a high-resolution depth sensor called HiFi, which combines high-resolution depth data with high-powered AI capabilities. The company's mission is to accelerate the development and deployment of autonomous systems by providing the tools and infrastructure needed to ensure the accuracy and reliability of sensors.

MIRI (Machine Intelligence Research Institute) is a non-profit research organization dedicated to ensuring that artificial intelligence has a positive impact on humanity. MIRI conducts foundational mathematical research on topics such as decision theory, game theory, and reinforcement learning, with the goal of developing new insights into how to build safe and beneficial AI systems.

NVIDIA is a world leader in artificial intelligence computing. The company's products and services are used by businesses and governments around the world to develop and deploy AI applications. NVIDIA's AI platform includes hardware, software, and tools that make it easy to build and train AI models. The company also offers a range of cloud-based AI services that make it easy to deploy and manage AI applications. NVIDIA's AI platform is used in a wide variety of industries, including healthcare, manufacturing, retail, and transportation. The company's AI technology is helping to improve the efficiency and accuracy of a wide range of tasks, from medical diagnosis to product design.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

Shield AI is a defense technology company building the world's best AI pilot, Hivemind, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Their mission is to protect service members and civilians with intelligent systems. Hivemind is a top gun for every aircraft, more than just preset behaviors and waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones and F-16 dogfights, Hivemind learns and autonomously executes missions. Shield AI also offers V-BAT teams, which enable multiple V-BATs to autonomously execute missions in electronically contested environments while reading and reacting to adversaries, the environment, and the other V-BATs executing the mission. V-BAT is combat-tested and deployed since 2018, and it flies in a class of its own. It's the most tactical, most logistically simple VTOL aircraft in the world, capable of executing group 2 to group 5 mission sets. It is the UAS of choice for US and allied forces. Nova 2 is built for the future fight and has proven its value in close-quarters combat with the most demanding customers in the world – on the most high-profile missions. Hivemind gives Nova 2 full autonomy - no GPS, no comms, no pilot needed.

Anduril is a defense technology company that develops autonomous systems for land, sea, and air. The company's products are powered by Lattice OS, an AI-powered operating system that brings autonomy to defense's toughest missions. Anduril's systems are designed to provide integrated, persistent awareness and security across all domains, enabling warfighters to make better decisions and respond more quickly to threats.

Anduril Industries is a defense technology company that develops autonomous systems for land, sea, and air. The company's products include the Lattice operating system, which powers a family of autonomous systems that provide integrated, persistent awareness and security. Anduril also develops counter-UAS, counter-intrusion, and maritime counter-intrusion systems. The company's mission is to transform defense capabilities with advanced technology.

Sanctuary Cognitive Systems Corporation is a company that develops and manufactures general-purpose robots. Their flagship product, Phoenix™, is the world's first humanoid general-purpose robot powered by Carbon™, their pioneering AI control system. Phoenix™ is designed for work and is the only general-purpose robot featured in TIME's Best Inventions 2023. Sanctuary's robots are remotely piloted or supervised by people and are designed to both train and work alongside them. When instructed to do so, their robots will use their own built-in autonomous control system to observe, assess, and act on tasks in an efficient and prosperous manner.

ESTsoft is a South Korean software company that develops and markets a wide range of software products and services, including operating systems, database management systems, and application software. The company was founded in 1995 and is headquartered in Seoul, South Korea. ESTsoft's mission is to "make the world more convenient and safer through AI." The company's products and services are used by a wide range of customers, including governments, businesses, and individuals. ESTsoft is a publicly traded company and is listed on the Korea Exchange. The company has a strong commitment to research and development and invests heavily in new technologies. ESTsoft has a number of partnerships with other companies, including Microsoft, IBM, and Oracle. The company is also a member of the World Economic Forum.

Motional is a company that is developing driverless technology and autonomous vehicles. They are working to make driverless vehicles a safe, reliable, and accessible reality. Motional's all-electric IONIQ 5 robotaxis are now available to public riders in Las Vegas. The company has a strong commitment to safety and is constantly developing new technologies to improve the safety of its vehicles. Motional is also working to make driverless vehicles more accessible by partnering with ride-hail and delivery services.

42dot is a mobility AI company that focuses on software-defined vehicles to shape the future of transportation. They use software and AI technology to solve mobility issues, aiming to create a world where everything operates autonomously and seamlessly. The company develops solutions optimized for SDVs and businesses based on software and AI, including Software-Defined Vehicle and Software-Defined Fleet. Their goal is to lead the mass adoption of autonomous mobility services through the TAP! platform and create Autonomous EVs for safer and innovative transportation experiences.

Wayve is a pioneering AI technology company focused on advancing end-to-end autonomous driving research and developing advanced AI solutions for safer and smarter driving. Their breakthrough AI technology empowers vehicles to perceive, predict, and progress through dynamic environments, learning from human behavior to confidently navigate unexpected situations with unprecedented intuition, accuracy, and reliability. Wayve's AI Driver software equips vehicles with advanced human-like driving capabilities, designed for safety and adaptability to unseen situations without the need for HD maps. The company partners with top experts to develop commercial-scale AV2.0 technology, aiming to reshape mobility's future with generation-defining AI technology.

Bethge Lab is an AI research group at the University of Tübingen focusing on Neuro AI - Autonomous Lifelong Learning in Machines and Brains. They develop machine learning tools for neural data analysis and draw inspiration from the brain to address key problems in machine learning. Their research includes representation learning, probabilistic inference, generative modeling, behavioral data analysis, and neural data analysis. Additionally, they explore AI sciencepreneurship and collaborate with startups. Bethge Lab aims to advance the understanding of autonomous learning and develop economically feasible solutions for long-term human needs.

Fetch.ai Innovation Lab is a leading platform advancing artificial intelligence and driving innovation to create value at scale. The lab unites academic institutes, research teams, and businesses to develop and expand advanced AI solutions. It fosters a collaborative environment that supports impactful projects and pushes the boundaries of what's possible with AI. The lab offers resources, support, and networking opportunities to drive groundbreaking ideas and growth in the AI ecosystem.

The Global Blockchain Show is an annual event that brings together experts and enthusiasts in the blockchain and AI industries. The event features a variety of speakers, workshops, and exhibitions, and provides a platform for attendees to learn about the latest developments in these fields. The 2024 Global Blockchain Show will be held in Dubai, UAE, from April 16-17. The event will feature a keynote address from Sophia, the world's most famous humanoid robot, as well as presentations from other leading experts in the blockchain and AI fields. Attendees will also have the opportunity to network with other professionals in the industry and learn about the latest products and services from leading companies. The Global Blockchain Show is a must-attend event for anyone interested in the latest developments in blockchain and AI.

Waymo is a self-driving car company that develops autonomous vehicles and ride-hailing services. The company's mission is to make it safe and easy for people and things to get where they're going. Waymo's self-driving cars have driven over 20 billion miles on public roads and are considered to be the most experienced autonomous vehicles in the world. Waymo's ride-hailing service, Waymo One, is the world's first fully autonomous ride-hailing service. Waymo One is currently available in Phoenix, San Francisco, Los Angeles, and Austin.

Simplilearn is an online bootcamp and certification platform that offers courses in various fields, including AI and machine learning, project management, cyber security, cloud computing, and data science. The platform partners with leading universities and companies to provide industry-relevant training and certification programs. Simplilearn's courses are designed to help learners develop job-ready skills and advance their careers.

Storybooks is an online platform that allows users to create personalized children's stories. With Storybooks, users can choose their own storylines, illustrations, and characters to create unique and engaging stories for their children. Storybooks also offers a variety of features to help children learn and grow, such as games, puzzles, and activities. The platform is designed to be easy to use and accessible to all families, regardless of their income or background.

CreateApp.ai is an AI-powered app development platform that allows users to develop apps in days, not months. It is trusted by leading companies and startup incubators. CreateApp.ai's first step towards its vision is CreatePrototype.ai, which allows users to describe their idea in plain English and build an app prototype in minutes. CreateApp.ai is coming soon, and users can sign up for early access. With CreateApp.ai, users can develop apps in plain English, without any tech knowledge required. CreateApp.ai takes care of everything, from app design and development to app maintenance. CreateApp.ai is the easiest way to build apps.

Skillsoft is an online learning platform that provides a variety of courses and programs to help employees develop their skills and knowledge. The platform uses AI to personalize the learning experience for each user, and it offers a variety of features to help users track their progress and achieve their goals. Skillsoft is used by over 12,000 organizations worldwide, and it has been shown to improve employee engagement, productivity, and retention.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

CARLA is an open-source simulator for autonomous driving research. It provides open-source code, protocols, and digital assets (urban layouts, buildings, vehicles) for developing, training, and validating autonomous driving systems. CARLA supports flexible specification of sensor suites and environmental conditions.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

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.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

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