List of top 20 crypto with max supply



Muhammad inaam Anjum
List of top 20 crypto with max supply
2 / 2
  1. Bitcoin (BTC) - max supply of 21 million
  2. Ethereum (ETH) - max supply of 18 million per year
  3. Litecoin (LTC) - max supply of 84 million
  4. Ripple (XRP) - max supply of 100 billion
  5. Bitcoin Cash (BCH) - max supply of 21 million
  6. Tether (USDT) - max supply of unlimited (pegged to the US dollar)
  7. Binance Coin (BNB) - max supply of 175 million
  8. Cardano (ADA) - max supply of 45 billion
  9. EOS (EOS) - max supply of 1 billion
  10. Monero (XMR) - max supply of 18.4 million
  11. Dogecoin (DOGE) - max supply of unlimited
  12. Tron (TRX) - max supply of 100 billion
  13. Chainlink (LINK) - max supply of 1 billion
  14. Neo (NEO) - max supply of 100 million
  15. Solana (SOL) - max supply of 450 million
  16. Polkadot (DOT) - max supply of 10 million
  17. Zcash (ZEC) - max supply of 21 million
  18. Cosmos (ATOM) - max supply of 237 million
  19. Tezos (XTZ) - max supply of 763 million
  20. Dash (DASH) - max supply of 18 million

Comments

Post a Comment

Popular posts from this blog

Is it possible to teach a robot to be kind and respectful of humans? If so, how would you do it?

Yes, it is possible to teach a robot to be kind and respectful of humans. Here are a few approaches that can be taken: 1. Ethical Programming: When developing the robot's AI algorithms and behavior, ethical guidelines and principles can be integrated. These guidelines should prioritize the well-being, dignity, and rights of humans. By programming the robot to follow these ethical principles, it can learn to exhibit kind and respectful behavior. 2. Human Interaction and Learning: The robot can be trained through interactions with humans. By observing and analyzing human behavior, the robot can learn to mimic and understand kindness and respect. This can involve studying social norms, communication patterns, and appropriate responses in various situations. 3. Reinforcement Learning: Reinforcement learning techniques can be employed to train the robot to recognize and reinforce kind and respectful behavior. The robot can receive positive feedback or rewards when it behaves in a manner...
Read more

How can I choose a research topic for my final year in ML or AI? Can senior experts provide some useful tips or suggest potential topics?

Choosing a research topic for your final year in ML or AI can be an exciting yet challenging task. Here are some tips to help you in the process: 1. Explore Your Interests: Start by considering your personal interests within the field of ML or AI. Reflect on the areas that fascinate you the most or the specific problems you would like to solve. This will ensure that you stay motivated and engaged throughout your research journey. 2. Review Current Trends and Challenges: Stay updated with the latest trends and challenges in ML and AI. Read research papers, attend conferences, and follow reputable sources to understand the cutting-edge developments and the open problems in the field. Identifying a gap or an unexplored area can be a great starting point for your research topic. 3. Seek Advice from Senior Experts: Consult with senior experts in the field, such as professors, industry professionals, or mentors who have experience in ML and AI research. They can provide valuable insights, su...
Read more

Are FPGAs being used in AI research, or is this the domain of ASICs mostly?

Both FPGAs (Field-Programmable Gate Arrays) and ASICs (Application-Specific Integrated Circuits) have applications in AI research, but their usage depends on the specific requirements of the project. 1. FPGAs in AI research: FPGAs are flexible hardware devices that can be reprogrammed and optimized for specific tasks. They have gained popularity in AI research due to their ability to accelerate certain computations and their flexibility in prototyping and development. FPGAs are often used in research and development stages when there is a need for rapid iteration and experimentation. Researchers can design and implement custom hardware architectures using FPGAs to accelerate specific AI algorithms or neural network models. 2. ASICs in AI research: ASICs are custom-designed integrated circuits that are purpose-built for specific applications. While they offer high performance and power efficiency, ASICs require substantial upfront investment and time for design and fabrication. They are...
Read more