DeepBrain Chain offers a decentralized computing network and platform for various artificial intelligence products.

It is essentially a platform designed to compute data and trade data to allocate spare computer resources. This will ultimately require much higher AI computing costs (the project estimates a 70% reduction in AI costs), protecting against data leakage as well as providing intellectual property for products and data.

In addition, another critical element is the DeepBrain semantics library: a library that supports voice interaction applications (similar to Amazon’s Alexa). The DeepBrain semantics library can also be used to create third-party applications that require voice, graphical, textual, and other inputs.

DeepBrain Chain capabilities

Making models for artificial intelligence requires the computation of a neural network. For this, the process of training a data model consumes a large amount of computational resources. To achieve a better product index, AI products need more data for training and as a result more computational resources are required.

This leads to many manufacturers having to invest a lot of money to buy GPUs, FPGAs, and other hardware resources, which directly leads to a rapid increase in a chip provider’s stock price, such as NVIDIA’s stock price.

Using Blockchain technology, DeepBrain Chain aims to provide a low-cost, private, flexible, secure and decentralized artificial intelligence computing platform for artificial intelligence products.

The founding team believes that DeepBrain Chain has already demonstrated precedent in the existing market, has the potential to scale in the giant market, and will be able to gradually grow around its core business of shared storage and mining computing power mechanism.

Each DBC token corresponds to a calculated service value. This means that the token is tied to real value, and if DeepBrain Chain is able to move this ambitious project forward, investors could see some pretty substantial dividends.

If DeepBrain Chain can establish itself as a pioneer in the blockchain-based AI space, it will have a substantial footing in a potentially trillion-dollar industry. Experts predict that the role of artificial intelligence will continue to grow as new AI applications emerge.

The AI industry is currently worth around $20 billion a year, with most of the cost spent on processing computation. This is where DeepBrain Chain seems to fit in, as it utilizes blockchain to reduce costs and increase transaction speeds.

What does DeepBrain Chain offer?

• Low cost : DeepBrain Chain aims to reduce the cost of hardware input, as the GAS fee that every enterprise requires is much less than the internal fee.
• Optimization : DeepBrain Chain is currently optimized on the CUDA GPU and plans to connect to an existing core deep learning system such as TensorFlow, Caffe, CNTK …
• Highly Competitive : DeepBrain Chain uses unique load balancing technology, each node container can communicate with each other to share pressure.
• Privacy . Utilizing smart contract, blockchain technology allows data ownership and usage rights to be separated.
• Flexible computing : Frequency during peak hours can be 10 times higher compared to non-peak hours. DeepBrain Chain can automatically adjust automatically by fast replication to multiple idle nodes during peak hours.

The post DeepBrain Chain (DBC) appeared first on In Co-Chain.

An artificial intelligence that understands the meaning of a fictional work or legal document could be profitable because it would theoretically be able to perform some of the same tasks that humans do. For example, artificial intelligence in a self-driving car could choose its own route and deliver cargo and passengers. Such systems could be successfully used in urban public transport and long-distance transportation.

By and large, AI can be involved in very many spheres. However, experts believe that it will take decades to develop artificial intelligence that will fully think like a human.

One of Singularity Net’s goals is to develop AGI artificial intelligence and decentralize it, making it accessible to everyone. The developers want to create a framework for the emergence of decentralized human-level intelligence and publish the source so that everyone can participate in its creation.

Technical Features

Singularity Net’s main product, AI Marketplace & AI Publisher, is an ever-growing library of AI algorithms. The core of the platform is the marketplace. Developers can buy AI, as well as create and sell AI through the platform. All transactions are paid for with the SingularityNET (AGIX) cryptocurrency. In addition, they hope to create an AI training feature.

Helping the developers is the scalable OpenCog Hyperion open source general intelligence system built on OpenCog software. The creators of SingularityNET (AGIX) hope that OpenCog Hyperion will be able to support a variety of AI strategies and methods. Specifically, they want to utilize evolutionary learning, machine learning, and attention allocation.

Ecosystem

While laying the groundwork for AGI, SingularityNET is also launching an ecosystem of organizations that will fuel the platform with artificial intelligence services and enable mass adoption of the AGIX token. These spinoffs are being developed in a number of strategically selected vertical markets that include DeFi, robotics, biotech and longevity, gaming and media, arts and entertainment (music), and enterprise-level AI.

SingularityNET token holders can support the project by posting AGIX tokens. Users post tokens through the portal for 30 days. AGIX users can earn rewards and participate in the management and governance of the platform.

The Singularity Net bridge allows users to transfer AGIX tokens to other blockchains. However, it currently only supports Ethereum and Cardano blockchains. There is another token in the system which they call NTX, it can work with both Ethereum (ETH) and Cardano (ADA) blockchains. Hence, Singularity Bridge allows users to buy AI with ERC-20 and ADA tokens. In the second phase, users can exchange AGIX tokens one-to-one through Ethereum and Cardano chain.

The post SingularityNET appeared first on In Co-Chain.

The rendering network is designed to connect customers and users who want to earn money by performing rendering tasks. The Render Token Marketplace is an ideal place for a secure meeting place for processing power providers and developers of 3D models, holograms, virtual reality scenes and other video content.

The Render Token cryptocurrency is designed to lower the cost of rendering using cloud-based GPUs to make it more affordable for artists. And also to extend the scalability of the network to enable holographic images. This year, Render integrated artificial intelligence technology to improve performance, and added new NFT functionality.

The history of the emergence of the Render Token

The Render blockchain network was founded in 2016 by Jules Urbach. It is a de facto “daughter” company of the graphics company OTOY. The company itself was founded in 2009. It provided services to provide software solutions for in the creation and delivery of digital content such as video games and movies.

At first, the only way to do the complex rendering work for big projects like Avatar or Transformers was through an expensive visual effects studio. Rendering was taking up huge amounts of time, money and storage space. The company’s founder envisioned a future where anyone could have an easy path to real-time cloud technology.

The model of mutual settlements in crypto-tokens for video content processing services in a peer-to-peer network was developed by OTOY managers back in 2009, but its realization became possible only after the launch of the Ethereum blockchain project. Private sales of the cryptocurrency Render Token (RNDR) started in October 2017, and on cryptocurrency exchanges this asset appeared only three years later, when the main network was launched.

Technical features, principle of operation

Owners of GPU devices connect them to the network to receive and execute rendering tasks with OctaneRender. After registering their hardware, they become node operators and can earn Render token by performing tasks from the creators of graphic models.

Render Token aims to enable the creation, sharing and monetization of any 3D object or computing environment using blockchain protocols. The developers provide an out-of-the-box solution to the problem of CGI-intensive media that requires a powerful GPU infrastructure.

The system utilizes a unique Proof-of-Render mechanism to verify transactions. Proof-of-Render is a combination of manual and automatic proof-of-work. The process includes verification of the quality of work execution.

During artwork rendering, RNDR funds are held in escrow until the artist who commissioned the rendering manually confirms successful completion of the job. To protect against malicious behavior, network assets are watermarked throughout the process until the rendering is verified and payment is sent.

Octane’s rendering protocol allows the process to be managed on the blockchain. In the current period, Octane Render is the fastest GPU-accelerated photorealistic rendering software. The network supports test rendering, this feature allows customers to see what their work will look like.

The post Render Token (RNDR) appeared first on In Co-Chain.

The Fetch.AI ecosystem utilizes a distinctive smart ledger technology to deliver high quality solutions at affordable prices. The ledger uses a proof-of-work mechanism that leverages AI to accumulate knowledge over time.

Fetch aims to automate an unlimited number of markets that currently require huge manual intervention. Autonomous economic transactions will provide virtually frictionless markets running at digital speed.
Fetch.AI envisions a world where everyone owns multiple economic agents on the Fetch.AI platform that work sequentially or in parallel to produce solutions to complex current and future problems that are far more elegant and efficient than humans can produce.

Features

Fetch AI is incorporated in the UK with the goal of creating a digital economy where autonomous agents can interact with each other without human intervention.

Here are some of the problems that Fetch AI is trying to solve:

• Improving economic efficiency by providing market intelligence to prevent problems such as empty container delivery and energy waste using the electricity grid
• “Disconnection” between centralized systems because they can’t communicate effectively with each other
• Scalability of distributed ledger technology
• Fetch AI creates a product that enables tasks, data, services, and rewards for effort. The technology includes a three layer architecture; 1) Autonomous Economic Agents (AEA), 2) Open Economic Framework (OEF), 3) Smart Ledger. ML and AI are integrated in all layers to incorporate a smart element into the system.

A few important features include:

• OEF is the digital world in which AEAs operate, allowing them to access services and connect with other partners. In addition, high-level commands (transmission, exploration, search and discovery) and low-level commands (consensus, mutual trust, transactions, and protocol management) can be executed.
• An AEA is a digital entity acting on its behalf. They are linked to existing hardware and can communicate with other agents to fulfill the owner’s requirements.
• Smart Ledger – A unique blend of blockchain and DAG with two main components; 1) a smart ledger contract and 2) data stored on a DAG
• uPoW – Useful consensus validating work that builds market understanding and trust over time
• Intelligent machine learning that improves efficiency with past, present, and future elements used by AEA
• Synchronization of 40k tps between nodes and 30k tps for mining blocks
• Token FET
• When the Fetch.AI core network is launched, the FET token allows autonomous economic agents to perform tasks on the network. The FET token is the key method of value exchange in the Fetch.AI network. It is required for all network exchanges, as a method of registering on the network, for distribution, and as a mechanism for delivering value back to those who perform work on the network.

The FET token gives agents access to the digital world. It allows them to exist in that world, in multiple locations, and to explore it in search of other agents to bring value to or profit from. This value can be in the form of access to services, data, infrastructure or data processing through AI and ML algorithms.

The post Fetch (FET) appeared first on In Co-Chain.