An Interview With Khori Whittaker: On ENS, Decentralized Identity & Socials, and the Next Billion

Recently, I had the opportunity to connect with Khori Whittaker, the Executive Director at ENS Labs, creators of the Ethereum Name Service (ENS). Our conversation came at a particularly exciting time for web3—possibly on the cusp of a bull market—and for ENS, which is seeing important milestones like its recent partnership with GoDaddy. Khori shared … Read more

Bitcoin Ordinals Explained: A Comprehensive Guide

Bitcoin Ordinals is a concept that plays a crucial role in the Bitcoin ecosystem, particularly in the context of blockchain technology and the operation of the Bitcoin network. They are not a feature of the Bitcoin protocol itself but rather a conceptual framework used to understand and describe the order and sequence of events within … Read more

RootStock L2 : Pioneering Dapps on Bitcoin

In this article, we will be covering the Rootstock Layer 2 network that has the goal of creating and enabling both developers and the Bitcoin network as a whole to be able to create fully secure and functional Dapp applications on the Bitcoin blockchain and how it is exactly enabling them to do so. Rootstock … Read more

Decentralizing the Future: Insights From Wilson Duarte of Hercules

I recently spoke with Wilson Duarte, the Founder of Hercules, a DEX on the Metis network. Wilson has a background in computational applied mathematics and a master’s in numerical simulation in applied Geophysics. During our discussion, we touched on the Metis blockchain, the increasing traction of decentralized exchanges, and the essential security steps these exchanges … Read more

YakDAO Debuts $YAKS Token On Arbitrum, Innovating DeFi Real Estate

**BREVARD, NC, April 2nd, 2024/Chainwire/–**In a significant move within the decentralized finance (DeFi) real estate landscape, YakDAO is set to revolutionize the ecosystem with the launch of its native token, $YAKS, on the Arbitrum network, available for trading on Uniswap starting April 2, 2024. This launch is not just a testament to YakDAO’s innovative approach … Read more

NAVI Protocol Introduces NAVI X Ecosystem Fund To Support Sui Blockchain Development

NEW YORK, United States, April 2nd, 2024/Chainwire/–NAVI Protocol has announced the creation of the NAVI X Ecosystem Fund, committing 10M NAVX tokens to support the growth and innovation of the Sui blockchain’s DeFi and Move-based ecosystem. This initiative aims to provide vital resources for projects at different stages of development, with a focus on enhancing … Read more

Analyzing the Pros, Cons, and Risks of LLMs

Much has been said lately about the wonders of Large Language Models (LLMs). Most of these accolades are deserved. Ask ChatGPT to describe the General Theory of Relativity and you will get a very good (and accurate) answer. However, at the end of the day ChatGPT is still a computer program (as are all other … Read more

C# Collection Expressions and Collection Initializers

I was recently inspired by some interesting performance characteristics for collection initializers and collection expressions in C#, and I wanted to put together an introductory article. This article will be part of a small series where I first introduce you to the syntax we have to work with for both collection expressions and collection initializers … Read more

State of the Noonion 2024: HackerNoon Keeps on Blogging

This is a redacted version of the HackerNoon shareholders’ newsletter by CEO David Smooke and COO Linh Smooke sent to 1.3k shareholders. Picture: HackerNoon Team in an All-Hands Meeting. TL;DR Revenue is slightly down, traffic is slightly up, rate of product development is up, expenses are down, and AI is assisting us but is not replacing us anytime soon 🙂 … Read more

The 30-Day .NET Challenge Day 14: Limit Concurrent Async Operations

Introduction The article highlights the importance of limiting the concurrent asynchronous operations which in turn improves performance. Learning Objectives The common mistake all developers do How to use limit concurrent async operations Best Practices Prerequisites for Developers Basic understanding of C# programming language Basic understanding of asynchronous programming using async await Getting Started The common … Read more

Crypto Market Recap: XRP Feels the Heat

Crypto Market Recap: 04/02 Buckle up because the crypto market this week was a wild ride, even for seasoned investors. Bitcoin (BTC), fresh off its best monthly close ever, took a surprising 4% tumble, failing to recapture the glory of that milestone. This price swing highlights the ever-present tension in the crypto sphere: fear of … Read more

Outdoor Tech That Works: Stay Warm and Dry in the Harshest Conditions

Following its breakout year in 2023, generative AI (genAI) is finding increasing applications across various industries, including fashion. However, while this is a significant technology, it’s only one aspect of the changes happening in the field. Some innovations may not appear on the catwalks or make headlines but could be essential during mountain expeditions or … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Experimental Results

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Opportunities

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Motivation

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Experiments

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Conclusion & References

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Arithmetic Intensity

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Hardware Details

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

Modeling Workload Interference

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

Proble Formulation: Two-Phase Tuning

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Predictor Analysis

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more

PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices: Abstract & Introduction

:::info This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Minghao Yan, University of Wisconsin-Madison; (2) Hongyi Wang, Carnegie Mellon University; (3) Shivaram Venkataraman, myan@cs.wisc.edu. ::: Table of Links Abstract & Introduction Motivation Opportunities Architecture Overview Proble Formulation: Two-Phase Tuning Modeling Workload Interference Experiments Conclusion & References A. Hardware Details … Read more