branch Artificial Intelligence from parent company Solidus Technologies.
• abstract
blockchain technology and artificial intelligence (AI) have been implemented in agriculture. Blockchain technology promises security and increased trust for users. Homemade technology promises various conveniences for users. The combination of the two technologies can increase trust in artificial intelligence systems (blockchain for AI) or can also be used to improve blockchain system performance (AI for blockchain). The purpose of this study is to review these two technologies in the literature study and provide future research challenges related to their implementation in the agricultural sector. The methodology used is Systematic Literature Review (SLR) and text mining. Text mining is used to provide a research description based on the words in each selected article. SLR is used to provide comprehensive reviews of Blockchain research and Artificial intelligence in agriculture. The results show that there are 10% of studies related to the application of blockchain and AI in agriculture. This research has great potential to develop as seen from the increase in the number of publications in the last 2 years. The contribution of this research includes current research and future research proposals taking into account the conditions of Indonesian agriculture. The research position is dominated by the research community from countries in Asia such as India (33%), Pakistan (33%), China (14%) and Korea (14%). The originality of this research lies in the study of literature on the integration of blockchain technology and artificial intelligence in agriculture using SLR and text mining.
• INTRODUCTION
As we all know, the world is moving very fast in technology, the emergence of blockchain technology has also added value to many people. Here I will inform you by writing a review to introduce a very unique new project called solidus Aitech , so for that, have a look at the article I created below to give you a very good overview of the project, then what are the benefits of them give to everyone? Just go to the discussion below.
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Solidus AITECH Limited was founded in January 2021 as the Artificial Intelligence branch of parent company Solidus Technologies. Solidus AITECH is building an Eco-Friendly High Performance Computing Data Center (HPC) & Infrastructure-as-a-Service (IaaS) platform where Government Authorities, Megacorps, SMBs and Professionals will be able to seamlessly purchase Artificial Intelligence services via AITECH tokens
Through its platform, Solidus will be serving complex computation intensive data analysis tasks that include:
✓Self Driving Cars
✓Face & Voice Recognition
✓Medical Industry
✓Health Care
✓Recruitment
✓Sales Automation & Lead Generation.
✓Virtual Assistants
✓Traffic Congestion / Smart Cities
✓Border Control / Secure Societies
✓Agriculture - Greenhouse Automation
The distributed ledger format can be leveraged to support an array of government and public sector applications, including digital currency/payments, land registration, identity management, supply chain traceability, healthcare, corporate registration, taxation, voting (elections and proxy) and legal entities management.
Solidus AITECH is building a blockchain operating system for the public sector. This government enterprise solution uses smart contracts, asset management solutions, identity management solutions, and process automation.
The solution provides a private enterprise chain developed specifically for governments. It features the ability to assign different levels of access to authorised users, ensuring the independent validation of transactions and operations that establish full security and accountability while complying with relevant privacy standards.
Governmental complex computation-intensive data analysis tasks can include the following:
- Asset Management
- Smart Contracts for Health Care
- Voting
- Taxation
- Supply Chain Traceability
- Land Registration
- Identity Management & Process Automation
The governmental enterprise blockchain solution enables citizens, residents and businesses to participate and manage their data, creating a secure system that will streamline government-citizen interactions while securing information against hacking and fraud.
Solidus AITECH has put significant effort into the tokenomics and token model. As such, the token has been designed to reflect the success of the platform and to incentivise a healthy ecosystem, bringing together token holders and AI platform clients.
link detail informasi:
• https://www.facebook.com/Solidus-Ai-Tech-100121909056613
• https://www.linkedin.com/groups/12558138/
• https://twitter.com/AITECHio
• https://t.me/joinchat/yfdo6b56Ueg3NThk
• https://www.instagram.com/aitechtoken/
• https://www.reddit.com/user/AITECHtoken/
• https://www.youtube.com/channel/UCAoiPKK4VkbngPGw4mHqCKQ
• https://ai-tech.io/
solidus aitech is devoted to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition. Artificial Intelligence, often abbreviated as "AI", may connote robotics or futuristic scenes, Artificial Intelligence (AI) transcends science fiction robots, into modern advanced computer science non-fiction. Professor Pedro Domingos, a leading researcher in this field, describes the "five tribes" of machine learning, consisting of the symbolic, derived from logic and philosophy; connectionist, derived from neuroscience; evolutionary, relating to evolutionary biology; Bayesian, dealing with statistics and probability; and analogies from psychology. Recently, advances in statistical computational efficiency have made Bayesian successful in advancing the field in a number of areas, called "machine learning". Similarly, advances in network computing have led connectionists to expand into a subfield called "deep learning". Machine learning (ML) and deep learning (DL) are fields of computer science that originate from the discipline of Artificial Intelligence.
Broadly speaking, these techniques are separated into "supervised" learning techniques i.e. using training data that includes the desired output and "unsupervised" i.e. using training data without the desired output.
Artificial Intelligence (AI) is "smarter" and learns faster with more data, and every day, all companies generate this fuel to run machine learning and deep learning solutions, both collected and extracted from data warehouses such as Amazon Redshift, which completely accurate through "cluster" power with Mechanical Turk, as well as dynamically mined via Kinesis Streams. Furthermore, with the advent of IoT, sensor technology is exponentially increasing the amount of data to be analyzed -- data from sources and places and objects and events that were previously barely touched.
author: berta21
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