Learning Pool

Discover how Flare and Google Cloud are testing offchain compute methods to enhance blockchain verification at UC Berkeley.

How Flare is Unlocking Offchain AI: Flare and Google Cloud at UC Berkeley for Web3 & AI Hackathon

Explore a groundbreaking framework that fuses agent-based modeling and reinforcement learning for intelligent liquidity provisioning in Uniswap V3.

A Detailed Framework for Intelligent Liquidity Provisioning in Uniswap V3 

The Web3 News interviewed HackerNoon Creator and CEO David Smooke to discussion the history and future of the internet 

Digital Discourse and The Future of HackerNoon with Creator and CEO David Smooke

Rich Harang explains why you should use deep learning.

Why You Should Use Deep Learning - A Thread

Running on the AMM model, liquidity pools have proved to be a secure and efficient income source. What is a liquidity pool? How does a liquidity pool work? 

DeFi Learning: What Is a Liquidity Pool?

I worked on optimizing object detection for autonomous vehicles using Atrous Spatial Pyramid Pooling (ASPP) and Transfer Learning. 

How I Made Object Detection Smarter for Self-Driving Cars With Transfer Learning & ASPP

Learn everything you need to know about Yield Farming via these 77 free HackerNoon stories.

77 Stories To Learn About Yield Farming

Learn everything you need to know about Defi Solutions via these 68 free HackerNoon stories.

68 Stories To Learn About Defi Solutions

Machine learning is a field within computer science. However, it is fundamentally different from traditional computational fields. In traditional fields, algorithms are explicit sets of instructions to be executed by computers. The algorithms instructions will not change over time unless a developer re-writes them. Machine learning algorithms however, are designed to change overtime based on the inputs, weights, and outputs.

Machine Learning for Grandmothers

Blocksquare has announced the launch of its new Marketplace Pool funding round.

Blocksquare Brings Tokenized Hotel Ownership to Retail; Launches Pooling Marketplace

AI-driven marketing has been rising over recent years due to its ability to help businesses scale their operations without adding additional staffing.

Growth Hacking With AI

Using machine learning to analyze blockchain datasets is a fascinating challenge. Beyond the incredible potential of uncovering unknown insights that help us understand the behavior of crypto-assets, blockchain datasets presents very unique challenges to a machine learning practitioner. Many of these challenges translate into major roadblocks for most traditional machine learning techniques. However, the rapid evolution of machine intelligence technologies has enabled the creation of novel machine learning methods that result very applicable to the analysis of blockchain datasets. At IntoTheBlock, we regularly experiment with these new methods to improve the efficiency of our market intelligence signals. Today, I would like to provide a brief overview of some novel ideas in the machine learning space that can yield interesting results in the analysis of blockchain data.

Four Novel Machine Learning Methods for Analyzing Blockchain Datasets

Explore how proxies power AI—from web scraping to automation—helping bots gather data, avoid bans, and operate smarter, faster, and globally.

AI and Proxies: Are They Connected?

This article explains how Machine Learning and Artificial Intelligence have been pushing remote work forward through technological advancements in core tasks.

Are Artificial Intelligence and Machine Learning reshaping Remote Work?

Interview with the CEO of Rocket Vault, where we discuss use of artificial intelligence in building smart trading systems. 

Building AI-Based Trading Algorithms - An Interview with Kiran Mannam, CEO at Rocket Vault Finance

BSGAL adapts to batched training and near-infinite generated data by deciding online whether to include data in the current model update.

BSGAL: Batched Streaming Active Learning for Generated Data

Guide explaining how to use Netron, visualkeras, and TensorBoard to visualize Keras machine learning models.

3 Ways to Easily Visualize Keras Machine Learning Models

From July 4-6 in Cannes, the hackathon nurtured a global pool of web3 developer talent, and 0G Labs supported the $275K prize pool.

0G Labs Sponsors ETHGlobal Cannes Hackathon And Supports $275K Prize Pool

 From leaderboard battles to referral contests and daily reward events, the campaign aims to bring together a combination of skill, strategy, and summer fun for

Deribit And SignalPlus Launch “The Summer Chase” Trading Competition With a $300,000 USDC Prize Pool

Explore how common data pruning techniques can introduce or worsen classification bias in deep learning models, leading to unfair performance across classes.

Data Pruning and Classification Bias in Deep Learning

Researchers have developed a solution that emphasizes three pivotal techniques to augment problem-solving in data science.

AI Crushes the Competition in Math, Machine Learning, and Open-Ended Tasks—Here’s How It Did It

Step-by-step guide to building a practical home lab with Docker, Grafana, Cloudflare, and backup solutions for tech learning and AI research.

Let's Build a Practical Home Lab for Learning and Experimentation

This report presents a novel approach to cryptocurrency trading using a Transformer-based Deep Reinforcement Learning (DRL) agent. 

This Deep-learning Approach Can Help Double Your Gains in Crypto Investments

Researchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.

Deep Lake, a Lakehouse for Deep Learning: Deep Lake System Overview

We’re proven pioneers of L\u0026D innovation with a strong track record in bringing new solutions to market that help organizations achieve their performance goals

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Learning Pool's stories on HackerNoon

How Flare is Unlocking Offchain AI: Flare and Google Cloud at UC Berkeley for Web3 & AI Hackathon

A Detailed Framework for Intelligent Liquidity Provisioning in Uniswap V3

Digital Discourse and The Future of HackerNoon with Creator and CEO David Smooke

Why You Should Use Deep Learning - A Thread

DeFi Learning: What Is a Liquidity Pool?

How I Made Object Detection Smarter for Self-Driving Cars With Transfer Learning & ASPP

77 Stories To Learn About Yield Farming

68 Stories To Learn About Defi Solutions

Machine Learning for Grandmothers

Blocksquare Brings Tokenized Hotel Ownership to Retail; Launches Pooling Marketplace

Growth Hacking With AI

Four Novel Machine Learning Methods for Analyzing Blockchain Datasets

AI and Proxies: Are They Connected?

Are Artificial Intelligence and Machine Learning reshaping Remote Work?

Building AI-Based Trading Algorithms - An Interview with Kiran Mannam, CEO at Rocket Vault Finance

BSGAL: Batched Streaming Active Learning for Generated Data

3 Ways to Easily Visualize Keras Machine Learning Models

0G Labs Sponsors ETHGlobal Cannes Hackathon And Supports $275K Prize Pool

Deribit And SignalPlus Launch “The Summer Chase” Trading Competition With a $300,000 USDC Prize Pool

Data Pruning and Classification Bias in Deep Learning

AI Crushes the Competition in Math, Machine Learning, and Open-Ended Tasks—Here’s How It Did It

Let's Build a Practical Home Lab for Learning and Experimentation

This Deep-learning Approach Can Help Double Your Gains in Crypto Investments

Deep Lake, a Lakehouse for Deep Learning: Deep Lake System Overview

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