Game-changing: Artificial Intelligence Combined with Cryptocurrency First the facts: McKinsey predicts AI will have up to an 11.6% impact on Travel industry revenues and up to 10.2% on High Tech. A European trucking company reduced fuel costs by 15% using AI to optimize routing of delivery traffic, improving fuel efficiency and reducing delivery times. In 69% of the use cases in the study, AI and deep neural networks improved performance beyond what existing analytic techniques were able to deliver. These and many other fascinating findings and insights are from a recent McKinsey Global Institute (MGI) Discussion Paper, Notes from the AI frontier: Applications and value of deep learning .
Titled Notes from the AI Frontier: Insights From Hundreds Of Use Cases (36 pp.
, PDF, no opt-in) the discussion paper draws on MGI research and the firm’s applied experience with artificial intelligence (AI) of McKinsey Analytics, assessing the practical applications and the economic potential of advanced AI techniques. The discussion paper’s findings are based on intensive MGI analytics collated and integrated with more than 400 use cases across 19 industries and nine business functions. The following are pre-sale and listed cryptos engaged in the most valuable parts of the crypto AI economy: Rise.
eco Rise is an innovator of scientific trading systems with a vision to not only adapt and optimize advanced algorithmic trading systems to cryptocurrency markets, but also to make this type of highly-profitable trading accessible to crypto investors via the RISE (RSE) token. Rise’s automated trading technology targets some of the most efficient markets in the world and has outperformed stock indices like the DAX, the Dow Jones and the MSCI World since its inception in 2012 under the name QUANTUMROCK.
These trading systems are now being specifically adapted to target cryptocurrency markets with even better results. The RISE (RSE) token will be the entrance point for the Rise ecosystem, which will include algorithmic trading systems, a trading platform, investment funds, and the mechanism for licensing and usage of trading systems by third parties. RISE (RSE) token-holders will participate in the profits of Rise‘s algorithms, will receive a share of all licensing fees from banks and third-party funds that use Rise technology. The RISE (RSE) token will be a completely new asset class that can be leveraged as collateral in margin trading schemes that extend token-holders’ investing power by 50% or more.
The Rise mobile app will provide a comprehensive and user-friendly interface for the trading platform where users will be able to manage investments in funds, make trades on dozens of connected crypto exchanges, and monitor the accrual of dividends. App users will be able to invest and divest directly and transparently without incurring fees to middlemen as is typically required in traditional trading. Vectorspace AI Vectorspace provides datasets that train AI machines around the world. They also produce Smart Baskets for trading cryptocurrencies based on their own AI. The Vectorspace AI mission statement sums it up nicely. “We focus on context-controlled Natural Language Processing (NLP) and feature engineering for hidden relationship detection in data for the purpose of powering advanced approaches in Artificial Intelligence (AI) and Machine Learning (ML). Our platform powers research groups, data vendors, funds and institutions by generating alternative or specialized near real-time on-demand datasets for the purpose of detecting context-controlled hidden relationships between entities including cryptocurrencies, stocks and other assets using our VXV utility token and VXV wallet-enabled API key . We are particularly interested in how we can get machines to trade information with one another or exchange and transact data in a way that minimizes a selected loss function.
Our objective is to enable any group analyzing data to save time by testing a hypothesis or running experiments with higher throughput. This can increase the speed of innovation, novel scientific breakthroughs and discoveries. For a little more on who we are see our latest reddit AMA on r/AskScience here !” SingularityNET According to Transparency Market Research , the global artificial intelligence market is projected to grow from $233.8 billion in 2017 to $3.
1 trillion in 2025 . Cooperation is still the holy grail of AI but the biggest gains, however, will be experienced by AIs that can learn from each other, leveraging external datasets and capabilities.
There is currently no platform that enables this type of interoperability and coordination. The launch of such a platform would be one of the biggest breakthroughs ever in the evolution of AI. SingularityNET is the first and only platform that allows AIs to cooperate and coordinate at scale. This removes one of the major limiting factors to AI growth today — the lack of interoperability — which severely restricts the ability to leverage the strengths and capabilities of individual AIs. With SingularityNET, companies, organizations, and individuals can empower their AI agents to participate in markets, buying and selling goods and services. No longer must AIs exist in silos , only capable of operating within a specific company, infrastructure, or industry.
SingularityNET has been selected by the government of Malta to contribute to a new task force, Malta.ai, which is responsible for the drafting of Malta’s National AI Strategy. As our first contribution, we will be working with the government of Malta to create the world’s first Robot Citizenship Test. Matrix AI MATRIX AI Network is an intelligent, open-source, new generation blockchain that aims to solve major challenges currently stifling the development and adoption of blockchain technology. MATRIX leverages the latest artificial intelligence (AI) technology to deliver on the promise of blockchain. MATRIX leverages the latest artificial intelligence (AI) technology to deliver on the promise of blockchain.
Key innovations include: Auto-Coding Smart Contracts — MATRIX Smart Contracts use Natural Language Programming and adaptive deep learning-based templates to auto-code. English and Chinese supported. Additional languages supported later. AI-powered Cybersecurity — AI-powered Secure Virtual Machine identifies potential loopholes and malicious intentions while ensuring robustness under high-intensity attack using a generative adversarial network. Dark Guardian uncovers malware and other illegal activities. Adaptive Blockchain Parameters — Seamless integration of public and private chains with the capability for multi-chain collaboration.
Support for adaptive self-optimization and the ability to tweak certain blockchain parameters without creating a hard fork. Ability to evolve alongside users. Suitable to support enterprise and government ecosystems. Value-Added Green Mining — Innovative mining mechanism uses vast computing resources to run Markov-Chain Monte Carlo (MCMC) algorithms. MCMC algorithms have valuable real-world applications. Currently being used in collaboration with Beijing Cancer Research Hospital to improve speed and accuracy of cancer diagnosis. Dynamic Delegation Network — Proprietary network hierarchy created with a distributed random clustering process without centralized control enables hybrid PoS + PoW consensus mechanism — dubbed HPoW or Hyper PoW — and reduces transaction latency. Conclusion The AI industry has an upside that seems to have no limit.
Positioning in cryptoassets that allow you to profit from this growing trend could result in nice performance gains for any investor. .