Artificial intelligence (AI) is the ability of a computer program to think, learn and mimic human thought. Introduced in 1955 by John McCarthy, artificial intelligence has several different fields of study. These fields include computer science, mathematics, psychology, and philosophy, among many others. AI is linked to several different use cases. The most prominent use cases include machine learning, supply chain optimization, speech recognition, self-driving cars, and manufacturing optimization.
Now we know a bit about AI, let’s review a few examples of how AI is improving decentralized networks like blockchain.
During the past few years, artificial intelligence has substantially increased its presence in the area of crypto trading. This is particularly true with high-frequency trading (HFT). Essentially, HFT is a type of algorithmic financial trading characterized by high speeds and high turnover rates. High-frequency trading is a perfect vehicle for cryptocurrency trading because the crypto universe has several different exchanges.
HFT uses artificial intelligence to analyze multiple technical indicators across various exchanges in an effort to take advantage of market opportunities. AI is still in its infancy stage in regard to crypto trading. Going forward, artificial intelligence will play a pivotal role within the crypto trading community. These are commonly known as trading bots.
Unfortunately, industries that find themselves in a hyper-growth phase are more susceptible to cyberattacks and malware. Without question, blockchain technology, along with digital assets, is currently experiencing an explosive rate of growth. Consequently, the blockchain industry has endured an exponential increase in malware, phishing, fraud, and digital theft. Based on data provided by industry experts, $9 million is lost to cryptocurrency scams on a daily basis.
The key to successfully thwarting a blockchain hack is to identify the threat and understand the nature of the attack as quickly as possible. Hackers are acutely aware that they must strike quickly in order to launch a profitable attack. Unfortunately, crypto exchanges have a poor track record in preventing cyber-attacks. AI-based cybersecurity systems are designed to detect a hack in real-time and dramatically increase the likelihood of stopping the attack. AI systems are far superior to traditional cybersecurity systems because AI has the ability to detect patterns from previous attacks. This information can be used to prevent future cyber threats.
As you know, all crypto transactions are verified and added to the blockchain by Bitcoin miners to maintain the integrity of the network. In exchange for their work, miners are rewarded with Bitcoin. Crypto mining requires energy consumption and computing power. Over the past few years, Bitcoin miners have explored the idea of using artificial intelligence to reduce energy waste and computing power to reduce costs.
A few of the largest mining companies have created AI-based systems, allowing companies to share power and increase profitability. AI algorithms have made crypto mining faster, more profitable, and more efficient. Without question, artificial intelligence will continue to play an essential role throughout the crypto industry.
Brief Summary of Blockchain and Artificial Intelligence
Artificial intelligence (AI) was introduced in 1955 by John McCarthy
- AI is the ability of a computer program to think, learn and mimic human thought.
- AI encompasses several different fields of study.
- AI has increased its presence in cryptocurrency trading.
- High-frequency trading uses AI to analyze technical indicators across many exchanges.
- AI-based cybersecurity systems are designed to detect a hack in real-time.
- Bitcoin miners use AI to reduce energy consumption and computing power.
- A few of the largest mining companies have created AI-based ecosystems.
- AI algorithms have made crypto mining faster, more profitable, and more efficient.