Ai

        is a decentralized autonomous organization designed to create the Internet of Everything. It seeks to establish an interconnected and self-sustaining network of machines that form new devices and infrastructure for use cases such as smart factories, transportation, home automation, etc.

The project was initially inspired by Google's Project Wing, in which they created a wireless mesh network that connected multiple robots and sensors to form a network. Unlike other projects, the Ai initiative does not seek to develop its own hardware; instead, it works with a diverse group of third party vendors to design their own equipment. The company plans to sell all these parts through their marketplace, and also accepts donations from private parties and individuals that wish to collaborate on various tasks they are working on at any time. These goals will be achieved by creating open source software tools. Their goal is to make Ai a completely self sustaining system, thus giving developers an easy way to build applications. They plan to achieve this goal by implementing an ecosystem of services like energy management, communications, and data storage; which aims to enable the creation of an intelligent machine of intelligence.

• Project description
• Architecture and Design
• Features and Benefits

Project description

The core elements of Ai are communication protocols, a computing model, an algorithm, and self learning capabilities. AI technologies have been used broadly for manufacturing operations such as robotics, precision agriculture, computer vision systems, voice recognition systems, and virtual assistant technology. Ai uses these technologies to increase productivity while reducing costs, energy efficiency and lowering errors. It can process information quicker than humans. Ai achieves efficiency because the computing element of Ai relies more heavily on offloading processing to the processor rather than taking care of other factors of computation such as memory management. This allows greater access time to run applications due to fewer CPU cores. Ai also has access to vast amounts of resources that would otherwise be wasted in certain areas if these assets were dedicated solely to specific functions. In addition, Ai can support many different programming languages, allowing programmers to customize solutions for specific scenarios. There is a complete list of commands available online for developers to implement; however, these commands may not necessarily run smoothly unless you know how to code yourself (for example using Python).

Architecture and Design

Ai will rely upon a large amount of computational power to execute algorithms on a massive scale, utilizing Nvidia's cloud technology, although the team hopes to reduce reliance on large amounts of capital in favor of grants and crowdfunding. Ai will work with top tier companies that provide sophisticated hardware platforms with high performance AI processors. To ensure safety and reliability, Ai will utilize redundancy and artificial intelligence techniques such as self healing, error correction, fault tolerance and data retraining. Another key aspect that supports Ai's success as a platform is the ability for consumers to contribute to maintenance in exchange for rewards; the initial incentives for participation include early testing, improved functionality, or better product quality.

Ai focuses on developing secure, low cost solutions that can withstand natural disasters and cyber attacks, offering protection against malicious actors while maintaining usability for everyday users. Because Ai wants to maintain security, they use encryption in order to protect the confidentiality and integrity of their user database. Other options include two factor authentication, password authentication, tokenization and end-user identification. Finally, Ai intends to offer features that allow for customization while still providing flexibility. For instance, Ai may want to add additional cameras for advanced detection, so these features would need to integrate both into the same interface. Users may want to alter color scales, lighting levels, and even music tempo when viewing a hologram with AI, which requires more customized control. As a result, Ai will likely require several interfaces that enable access to each one of these settings at once. The development of an entire UI is currently planned for later stages, but the existing ones look promising. Ultimately, this UI will be able to represent any input and output scenario without requiring the developer to master complicated coding systems. Many important considerations must be made when designing the interface, including the following: what type of camera are we going to need? What kinds of lights do we need? Do we need 3D rendering? What types of buttons are needed to perform certain actions within our application? Who else needs to see what we are doing? How long should our UI change for every update? How much should a single action be repeated? Can I leave my current app open while having another tab open? Does my image get frozen or lose focus? And so forth. Ai will attempt to simplify processes as much as possible, and if something isn't working correctly it may be easier to just delete some of the relevant steps. Furthermore, Ai expects to avoid making significant changes to the original application code, since most people would probably adapt to changes quickly, even though this process may take longer than expected. But it would be desirable to be informed about the requirements as soon as possible, before introducing changes for the sake of keeping things running smoothly. Once your application is live, you are prepared to interact with your friends, family members and coworkers. If you need a refresher, be sure to continue interacting until there isn’t a problem. After an issue has been resolved, Ai can then start adding value. It can easily communicate with customers regarding any upcoming orders, provide notifications for issues and bugs, and give them advice. At present, Ai is focusing on being responsible citizens, and encourages people to share feedback on improvements. People can submit suggestions that they think could make the program better. Some improvements will have no impact whatsoever on the general functionality of the program, but some will be entirely optional. Such changes will become part of regular updates. Feedback from developers on improving the program will provide valuable insights that can be added to the next version of the software. In addition to this, Ai will frequently request help in conducting research, creating proposals, getting involved in discussions, finding out what is missing, fixing the bugs, adding new features, and so forth - all of these activities help improve the overall function of the software. We will continuously learn and improve as a community, and we encourage others to do so as well. By encouraging contributions, you increase the likelihood of discovering new opportunities. Any proposal submitted by anyone to our Github page will be prioritized for review. When the code has been completed, we expect to have our first public release soon as well as a final QA/QC test. We will not go through the typical release process and will only release the final version. Although this might be perceived as somewhat inconvenient, at least we will be sharing the progress of our technology. Most often, after releasing our first stage with the latest features, we start talking to the community and asking questions. We look forward to participating in the future, as everyone's knowledge and contribution is essential for the continued growth of the project.

Features and Benefits

The project uses a multitude of AI technologies to provide real world solutions to problems that could arise in our daily lives. A few examples are:

Automatic Content Production

Ai produces high quality images through automatic content production. Image classification models can be trained to identify objects from raw images and produce automatically rendered imagery. Our deep learning library provides a full suite of ready-to-use products that can be included with any pre-trained model. Each application comes equipped with an array of pre-trained models that can be fine tuned on demand or incorporated into custom designs. Automatic content production makes it easy to leverage the full benefits of Ai's unique structure and architecture in terms of scalability of production and processing speeds. Ai also provides automatic conversion processes to convert images to video, audio, and text formats. Automation and AI based technologies can be combined in creative ways in order to meet the needs of a wide variety of industries, regardless of domain expertise. While traditional imaging systems tend to be expensively complex, automated systems are relatively simple and can be adapted to cater to individual business models. Ai also includes powerful visual analytics tools that allow it to determine which images are most suited to certain domains. Deep Learning powered systems also provide flexible object detection and segmentation capabilities that can extend beyond standard classifiable boundaries. With Ai powered solutions, photographers can now transform raw photo data into meaningful imagery in days or hours. Moreover, Ai offers numerous APIs which simplify the integration of disparate applications; this can be helpful to businesses that are unfamiliar with developing integrations. Ai also provides extensive documentation on usage and optimization of automatic content production, which are very useful for beginners. You can read detailed descriptions and tutorials on various topics in our technical blog. Besides manual editing software such as Adobe Photoshop and Corel Photo Suite, Ai brings professional image manipulation to the market with ease. Ai automatically switches between layers, brightness, contrast levels, color scaling, sharpness, noise reduction, color grading, effects, noise removal, sharpen, contrast adjustment and exposure adjustments. Ai provides presets to speed up the transfer process as well as apply filters and textures to images. Newer technologies such as neural networks allow Ai to automatically detect patterns and dependencies between items of an image. Ai helps analyze and understand the meaning of digital content through semantic segmentation, object centric segmentation and depth estimation. Ai also employs novel methods such as unsupervised grouping and multi modal representation tasks to extract richer context of images and videos. Ai lets users adjust the parameters of their camera, changing its aperture, shutter speed, lens quality, ISO, and white balance. Ai provides accurate and fast predictions on camera focal distance, size of the sensor, and aperture of a device. With Ai, users can also configure and change lenses. Ai can use its machine learning and artificial intelligence algorithms for automatic portrait photos. Ai auto recognizes faces in photographs, tracks movements and gestures. It can instantly capture facial expressions and emotions through human facial expressions (facial biometrics) which are processed by our Artificial Neural Network. Through face detection, Ai identifies whether someone is happy or sad. Facial biometrics such as heart rate variability can be analyzed to determine stress, anxiety, anger, sadness, fear, surprise, disgust, happiness, fear, anger, joy,