ML Blog

雕刻时光
Sculpting in time

每一个故事都有起点与终点
Every story has a beginning and an end.

1-Minute Read

After I joined the sparkpool team with the job of Devops in 2018, I broadened my knowledge of digital cryptocurrencies, and in these close to four years of work, I learned about digital finance and traditional financial system, what is a sound monetary system, the difference between cryptocurrencies and traditional currencies, so to speak, at sparkpool I learned a lot of financial knowledge, and also taught myself the technology related to cutting-edge such as deep learning and quantitative…

Crypto Forecasting 1

G-Research Crypto Forecasting - use your ML expertise to predict real crypto market data

1-Minute Read

Predicting high volatility digital currency market prices is difficult, G-Research has launched a contest project on kaggle.com about predicting digital cryptocurrency returns using machine learning, I am going to join the contest, later references and model building about the contest will be updated in that blog board.

Interlay Btc Bridge - 2

Understanding interlay BTC cross-chain bridges

3-Minute Read

Having previously written a blog about the overall architecture of PolkaBTC, in this blog we will understand specifically how PolkaBTC works. PolkaBTC has been renamed Interlay BTC Bridge, where the previously running Staked Relayer has been merged into the Valut module. Interlay uses the XCLAIM protocol framework, where BitCoin assets are locked in the Bitcoin chain, which then generates a 1:1 corresponding InterBTC token on the Interlay chain, and InterBTC Token can be used on parallel…

Proof of Deep Learning BlockChain

Blockchain based on deep learning proofs

1-Minute Read

The last two days the company planned a hackathon competition, they simply signed up to participate, thinking that they are currently researching the topic of deep learning, on the Google search blockchain deep learning, and finally found this paper Energy-recycling Blockchain with Proof-of-Deep-Learning, and then developed a PoDL chain for storing deep models along the lines of the paper, which is presented below, followed by Mathematica and Python implementations. Program Code.

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不断的学习思考, 保持好奇心
Keep thinking, Stay curious
始终保持对于新事物的敏感
Always be sensitive to new things