Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Right now, there’s a lot of buzz around Anthropic’s Multi Agent Context Protocols (MCP). Often described as the “USB-C of AI agents,” MCP promises to standardize how agents talk to each other. The idea is straightforward: connect different AI agents and tools through a common interface, let them share memory, and reuse functionality across tasks. … Read more
Doing search engine optimization (SEO) in small and medium enterprises (SMEs) can often feel like we have a never-ending list of tasks that need to be completed. In fact, it is just like that. SEO is a constant process of improving and adapting to the changing environment. From keyword research to content creation, link building … Read more
:::info Authors: (1) Corby Rosset, Microsoft Research and Correspondence to corbyrosset@microsoft.com; (2) Ching-An Cheng, Microsoft Research; (3) Arindam Mitra, Microsoft Research; (4) Michael Santacroce, Microsoft Research; (5) Ahmed Awadallah, Microsoft Research and Correspondence to hassanam@microsoft.com; (6) Tengyang Xie, Microsoft Research and Correspondence to tengyangxie@microsoft.com. ::: Table of Links Abstract and 1 Introduction 2 Preliminaries 2.1 … Read more
:::info Authors: (1) Corby Rosset, Microsoft Research and Correspondence to corbyrosset@microsoft.com; (2) Ching-An Cheng, Microsoft Research; (3) Arindam Mitra, Microsoft Research; (4) Michael Santacroce, Microsoft Research; (5) Ahmed Awadallah, Microsoft Research and Correspondence to hassanam@microsoft.com; (6) Tengyang Xie, Microsoft Research and Correspondence to tengyangxie@microsoft.com. ::: Table of Links Abstract and 1 Introduction 2 Preliminaries 2.1 … Read more
So, you want to build a Web3 AI incubator, one that will stand out, but not sure where to start? This template breaks it down into all the bits. Here’s what this process entails: Your incubator’s branding GTM template Co-marketing strategy Types of content you should post 1. Your Branding Create a one-liner tagline – … Read more
Cybersecurity is vast and exciting, and bug bounty hunting is one of its most rewarding paths. Imagine being paid to find security flaws in websites and apps—yes, that’s what bug bounty hunters do! If you’re curious about how to get started in this field, this guide is just for you. Prefer watching instead of reading? … Read more
Let’s raise a glass to Cloudflare, the digital overlord that just turned the AI arms race on its head. Introducing AI Labyrinth — a gloriously devious, beautifully engineered trap that’s bankrupting data scrapers faster than you can say “machine learning.” 💥 One major scraping company lost $2.3 million in the first week. That’s not a … Read more
HONG KONG, Hong Kong, April 15th, 2025/Chainwire/–TermMax is excited to announce the official mainnet launch on Ethereum and Arbitrum, going live on April 15, 2024. TermMax is set to redefine decentralized finance (DeFi) by offering the most efficient leverage solution – fixed-rates borrowing and lending with a single click. The extended features include one-click looping … Read more
How are you, hacker? 🪐 What’s happening in tech today, April 15, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, RMS Titanic sinks in 1912, Notre-Dame cathedral on fire in 2019, and we present you with these top quality stories. From Styled Components to Tailwind CSS: A HackerNoon … Read more
Table of Links Abstract and 1. Introduction Key Concepts 2.1 Append-Only Log and 2.2 Virtual Machine State 2.3 Transactions As Curried Functions 2.4 Natural Names of State 2.5 Ground Truth 2.6 Efficient Representations of State 2.7 Checkpoints 2.8 Execution Parameters: callData 2.9 Execution Ordering 2.10 Deciding on the Correct State Ideal Layer 2 Design 3.1 … Read more
Can you introduce yourself and tell us about LATOKEN? I’m Valentin Preobrazhenskiy, CEO and founder of LATOKEN, one of the leading cryptocurrency exchanges focused on altcoins. Previously, I managed a hedge fund where I developed a passion for discovering promising investments and now help traders find hidden crypto gems while empowering founders to successfully launch … Read more
Table of Links Abstract and 1. Introduction Key Concepts 2.1 Append-Only Log and 2.2 Virtual Machine State 2.3 Transactions As Curried Functions 2.4 Natural Names of State 2.5 Ground Truth 2.6 Efficient Representations of State 2.7 Checkpoints 2.8 Execution Parameters: callData 2.9 Execution Ordering 2.10 Deciding on the Correct State Ideal Layer 2 Design 3.1 … Read more
Table of Links Abstract and 1. Introduction Background 2.1 Layer-2 Blockchains 2.2 Project Mariana Related Work and Contribution System Architecture Model 5.1 Automated Market Makers 5.2 Price Impact Simulation 6.1 Data and Parameters 6.2 Results Discussion Conclusions, Acknowledgements, and References Graphs and Tables 7 Discussion The primary consideration when establishing cross-border CBDCs exchange is the … Read more
Table of Links Abstract and 1. Introduction Background 2.1 Layer-2 Blockchains 2.2 Project Mariana Related Work and Contribution System Architecture Model 5.1 Automated Market Makers 5.2 Price Impact Simulation 6.1 Data and Parameters 6.2 Results Discussion Conclusions, Acknowledgements, and References Graphs and Tables 6.2 Results The simulation outcomes are depicted in Figs. 4, 5 and … Read more
Table of Links Abstract and 1. Introduction Key Concepts 2.1 Append-Only Log and 2.2 Virtual Machine State 2.3 Transactions As Curried Functions 2.4 Natural Names of State 2.5 Ground Truth 2.6 Efficient Representations of State 2.7 Checkpoints 2.8 Execution Parameters: callData 2.9 Execution Ordering 2.10 Deciding on the Correct State Ideal Layer 2 Design 3.1 … Read more
Can Real-Time Cybersecurity Work in Web3? The blockchain ecosystem has been defined by its ability to decentralize power. But in doing so, it’s also opened itself to a growing volume of exploits, smart contract bugs, and wallet-level attacks. This raises a central question: Can real-time cybersecurity protocols, like those used in Web2 infrastructure, be implemented … Read more
Table of Links Abstract and 1. Introduction Background 2.1 Layer-2 Blockchains 2.2 Project Mariana Related Work and Contribution System Architecture Model 5.1 Automated Market Makers 5.2 Price Impact Simulation 6.1 Data and Parameters 6.2 Results Discussion Conclusions, Acknowledgements, and References Graphs and Tables 6 Simulation To ensure comparability with L1-Mariana , we consider three CBDCs: … Read more
Every so often, a tech stack decision that once felt right starts to show its limits—like realizing just how inefficient a screwdriver is after using a power drill. That’s been the case with HackerNoon’s use of Styled Components. For years, it served us well—offering scoped styles, dynamic theming, and full control within our React components. … Read more
Table of Links Abstract and 1. Introduction Background 2.1 Layer-2 Blockchains 2.2 Project Mariana Related Work and Contribution System Architecture Model 5.1 Automated Market Makers 5.2 Price Impact Simulation 6.1 Data and Parameters 6.2 Results Discussion Conclusions, Acknowledgements, and References Graphs and Tables 5 Model The major metric to consider for evaluation of the cross-border … Read more
Let’s be real, tech moves fast. New frameworks, tools, and best practices seem to pop up every other week. It’s exciting, but also a bit overwhelming. If you’re trying to build and ship projects while keeping up with everything, it can feel like a lot. That’s where CI/CD, short for Continuous Integration and Continuous Deployment, … Read more
How are you, hacker? 🪐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. ## Claude Desktop + MCP Quietly Transformed my Product Thinking By @asitsahoo [ 3 Min read ] Discover how Claude Desktop with … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more
Reimagining Drug Discovery With Autonomous Intelligence In early 2020, Pfizer and BioNTech delivered what many thought was impossible: a viable COVID-19 vaccine developed and distributed in record time. It was a monumental achievement in modern medicine. But as someone working closely with AI agents in complex, high-stakes systems, I often wonder if that process could’ve … Read more
Table of Links Abstract and 1 Introduction 2 MindEye2 and 2.1 Shared-Subject Functional Alignment 2.2 Backbone, Diffusion Prior, & Submodules 2.3 Image Captioning and 2.4 Fine-tuning Stable Diffusion XL for unCLIP 2.5 Model Inference 3 Results and 3.1 fMRI-to-Image Reconstruction 3.2 Image Captioning 3.3 Image/Brain Retrieval and 3.4 Brain Correlation 3.5 Ablations 4 Related Work … Read more