The Characteristics of Price Inflation

:::info Author: (1) Laurence Francis Lacey, Lacey Solutions Ltd, Skerries, County Dublin, Ireland. ::: :::tip Editor’s Note: This is Part 4 of 7 of a study on how changes in the money supply, economic growth, and savings levels affect inflation. Read the rest below. ::: Table of Links Abstract and 1 Introduction 2. Methods 2.1 … Read more

The Mathematical Formula to Hyperinflation

:::info Author: (1) Laurence Francis Lacey, Lacey Solutions Ltd, Skerries, County Dublin, Ireland. ::: :::tip Editor’s Note: This is Part 4 of 7 of a study on how changes in the money supply, economic growth, and savings levels affect inflation. Read the rest below. ::: Table of Links Abstract and 1 Introduction 2. Methods 2.1 … Read more

The TechBeat: The Crypto Industry is Overlooking a Critical Factor in Ensuring Its Success (1/2/2025)

How are you, hacker? đŸȘWant to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The Crypto Industry is Overlooking a Critical Factor in Ensuring Its Success By @kategrizik [ 4 Min read ] To turn … Read more

Researcher Tracks US Inflation Trends to Uncover Links with Money Supply and Economic Growth

:::info Author: (1) Laurence Francis Lacey, Lacey Solutions Ltd, Skerries, County Dublin, Ireland. ::: :::tip Editor’s Note: This is Part 3 of 7 of a study on how changes in the money supply, economic growth, and savings levels affect inflation. Read the rest below. ::: Table of Links Abstract and 1 Introduction 2. Methods 2.1 … Read more

Covid RNA Analyzed With Tee On OVM: Open (Incl. RSS3) Supercharges DeSci

SAN FRANCISCO, California, December 31st, 2024/Chainwire/–Open (also known as webisOpen on X, collective includes RSS3) is transforming virological research and decentralized science (DeSci) through its innovative Open Virtual Machine (OVM). This technology, integrated with the Compute Wormhole, facilitates the on-chain analysis of genetic similarities between two viruses: SARS-CoV-2 (sequenced in Wuhan, 2019) and SARS-CoV (sequenced … Read more

FLOKI DAO Unanimously Votes To Provide Liquidity For Floki ETP Launch

MIAMI, Florida, December 31st, 2024/Chainwire/–The Floki DAO has voted decisively in favor of allocating liquidity to facilitate the creation of a Floki Exchange-Traded Product (ETP). The proposal passed on Dec. 27 without a single opposing vote – a first for the Floki DAO – highlighting the community’s overwhelming support for expanding Floki’s presence in traditional … Read more

Wonder3D: What Is Cross-Domain Diffusion?

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

Wonder3D: A Look At Our Method and Consistent Multi-view Generation

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

Wonder3D: How We Distributed the 3D Assets

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

Wonder3D: Learn More About Diffusion Models

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

Wonder3D: 3D Generative Models and Multi-View Diffusion Models

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

2D Diffusion Models for 3D Generation: How They’re Related to Wonder3D

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

What Is Wonder3D? A Method for Generating High-Fidelity Textured Meshes From Single-View Images

Table of Links Abstract and 1 Introduction 2. Related Works 2.1. 2D Diffusion Models for 3D Generation 2.2. 3D Generative Models and 2.3. Multi-view Diffusion Models 3. Problem Formulation 3.1. Diffusion Models 3.2. The Distribution of 3D Assets 4. Method and 4.1. Consistent Multi-view Generation 4.2. Cross-Domain Diffusion 4.3. Textured Mesh Extraction 5. Experiments 5.1. … Read more

Continual Learning in Reinforcement Learning Agents with Pre-trained, Testing, and Untrained Groups

:::tip This is Part 6 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

Reinforcement Learning Simulation Metrics: QQ plots, ACF graphs, and Volatility Analysis

:::tip This is Part 10 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

RL Agents Show Superior Realism and Adaptability Over Zero-Intelligence Agents

:::tip This is Part 7 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

Configuring Reinforcement Learning Simulation: Agent Settings, Hyper-Parameters, & Market Insights

:::tip This is the last part of the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description Part 4: Agents & … Read more

Realistic Market Simulations Are Essential for Testing Reinforcement Learning Behavior

:::tip This is Part 5 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

Continual Learning RL Agents Set New Standard for Realistic Market Simulations

:::tip This is Part 9 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

Market-Making & Liquidity-Taking Agents Leverages Independent Policies & Reward-driven Strategies

:::tip This is Part 4 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

RL Agents Adapt to Flash Sale Events & Imbalanced Limit Order Books (LOBs)

:::tip This is Part 8 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

Reinforcement Learning Revolutionizes Market Insights with Adaptive Simulations

:::tip This is Part 1 of a 11-part series based on the research paper “Reinforcement Learning In Agent-based Market Simulation: Unveiling Realistic Stylized Facts And Behavior”. Use the table of links below to navigate to the next part. ::: Table of Links Part 1: Abstract & Introduction Part 2: Important Concepts Part 3: System Description … Read more

ZeroShape: A Comparison to SOTA Methods

Table of Links Abstract and 1 Introduction 2. Related Work 3. Method and 3.1. Architecture 3.2. Loss and 3.3. Implementation Details 4. Data Curation 4.1. Training Dataset 4.2. Evaluation Benchmark 5. Experiments and 5.1. Metrics 5.2. Baselines 5.3. Comparison to SOTA Methods 5.4. Qualitative Results and 5.5. Ablation Study 6. Limitations and Discussion 7. Conclusion … Read more

Introducing ZeroShape’s Baselines: The 5 State-of-the-Art Baselines We Considered

Table of Links Abstract and 1 Introduction 2. Related Work 3. Method and 3.1. Architecture 3.2. Loss and 3.3. Implementation Details 4. Data Curation 4.1. Training Dataset 4.2. Evaluation Benchmark 5. Experiments and 5.1. Metrics 5.2. Baselines 5.3. Comparison to SOTA Methods 5.4. Qualitative Results and 5.5. Ablation Study 6. Limitations and Discussion 7. Conclusion … Read more