~hackernoon | Bookmarks (2008)

Using Low-Code Development to Streamline Internal Business Processes

hackernoon.com

Low code is an application development approach that speeds up software delivery by minimizing manual coding...
Low code is an application development approach that speeds up software delivery by minimizing manual coding to the largest extent possible. It leverages visual development tools and pre-built templates to help business owners, process owners, and low-coding professionals develop and deploy applications with minimal time. Low-code platforms allow businesses to experiment with new ideas and strategies without significant investment.

business-agility business-strategy low-code low-code-development process-automation
1
30-Day .NET Challenge - Day 26: Loop Unrolling

hackernoon.com

The article explores the benefits of loop unrolling in C# programming, showcasing how it reduces loop...
The article explores the benefits of loop unrolling in C# programming, showcasing how it reduces loop overheads and improves execution speed compared to traditional loops. It provides a step-by-step guide and code examples for developers to enhance their code efficiency.

asp.net-core code-optimization csharp-programming dotnet loop-unrolling
1
Analysis of Network Graphs: Visualizing Hamilton Characters as a Social Network

hackernoon.com

The article delves into using graph theory to visualize complex character networks in literature, using examples...
The article delves into using graph theory to visualize complex character networks in literature, using examples from Game of Thrones and Hamilton. It covers basics like vertices and edges, explores data preparation, adjacency matrices, network plot visualization, centrality measures, and practical applications of network graphs in various fields.

data-analytics data-visualization graph-analysis graph-theory machine-learning
1
Revolutionize Automotive Software Development with RemotiveBroker's gRPC API

hackernoon.com

The RemotiveBroker gRPC API enables developers to build and test automotive software efficiently. It supports multiple...
The RemotiveBroker gRPC API enables developers to build and test automotive software efficiently. It supports multiple programming languages and provides a simple Python wrapper and gRPC stubs via a public GitHub repository. This API allows for reading and writing vehicle signal data, applicable to both live and recorded data settings. The process starts with just three lines of code for setting up a RemotiveBroker...

automotive-software automotive-software-dev grpc-stubs remotivebroker remotivebroker-grpc-api
1
POWER LEADER: Anvl's Zach Taylor on the Connected Worker Platform for Safety and Productivity

hackernoon.com

Anvl’s AI Connected Worker Platform is the sole digital layer for industrial enterprises to digitally transform...
Anvl’s AI Connected Worker Platform is the sole digital layer for industrial enterprises to digitally transform to enhance frontline work experiences, making work safer, improving quality, and delivering trustworthy data in real-time to leadership for continuous improvement.

connected-worker-solution latest-tech-stories mobile-first-strategy saas safety
1
HackerNoon's Emoji Credibility Indicators are Live on GitHub and Figma!

hackernoon.com

Emoji Credibility Indicators by HackerNoon are now live on GitHub and Figma!!! Our open-source pixelated emoji...
Emoji Credibility Indicators by HackerNoon are now live on GitHub and Figma!!! Our open-source pixelated emoji pack was designed to communicate context about a story's content on HackerNoon and you can be amongst the first to try them! Read on to learn more.

emoji emoji-credibility emoji-indicators hackernoon hackernoon-top-story
1
The Rise of NFTs: The Future of Digital Ownership

hackernoon.com

NFTs are unique digital assets that gained popularity in 2021. They offer proof of ownership for...
NFTs are unique digital assets that gained popularity in 2021. They offer proof of ownership for digital assets, revolutionizing the concept of ownership in the digital world. NFTs have diverse applications across various industries like art, gaming, real estate, and more. They utilize blockchain technology to ensure security and transparency in transactions. While they pose challenges like market volatility and environmental concerns, they also...

blockchain-technology digital-asset digital-ownership future-of-nfts nfts
1
The React AI Library Upgrade You May Have Been Looking For

hackernoon.com

Gitroom is an open-sourced tool that lets you schedule posts on multiple social media platforms and...
Gitroom is an open-sourced tool that lets you schedule posts on multiple social media platforms and cross-post them to publishing platforms such as DEV, Medium, and Hashnode. You can also use Gitroom to add AI to your application. The most open-source chatbot is a chatbot that interact with your data for the user.

ai-integration app-development chatbot-solutions gitroom open-source
1
Code Smell 247 - Javascript Function Naming

hackernoon.com

Some names in immature languages break the [bijection] principle. Avoid ambiguous or bad names. Wrap with...
Some names in immature languages break the [bijection] principle. Avoid ambiguous or bad names. Wrap with your functions. Use mature languages. Don't use *replace()* instead of *replaceAll()* in your code. Use *replaceFirst()* if you need to change only the first occurrence.

javascript programming software-development software-engineering technology
1
Recent Market Dynamics in Crypto: ETH Whales, SHIB's Downturn, and Furrever Token's Presale Surge

hackernoon.com

bitcoin-halving crypto-market crypto-news ethereum furrever
1
Meet Neurahub - The Perfect Coding Buddy to Help You Learn and Create

hackernoon.com

Neurahub is an up-and-coming platform allowing users to harness the limitless power of artificial intelligence to...
Neurahub is an up-and-coming platform allowing users to harness the limitless power of artificial intelligence to learn, create, and earn. Among its numerous AI tools is an AI code generator that can save you time and resources, helping your project get off the ground successfully. The platform requires minimal user input to produce compelling images within seconds.

ai-platforms code-generation generative-ai neurahub programming-tools
1
Nimiq Pay: Connecting Cryptocurrency with Daily Payments

hackernoon.com

Nimiq Pay is a self-custodial crypto payments app that doesn't require installation. Nimiq's main objective is...
Nimiq Pay is a self-custodial crypto payments app that doesn't require installation. Nimiq's main objective is to make NIM, its native payment coin, the most widely used cryptocurrency for daily transactions globally. The app uses fingerprint scanners and face recognition in order to safeguard the assets of its users.

blockchain-payments cypherpunk-principles defi nimiq nimiq-pay
1
ICP Unveils Game-Changing Integration to Transform Bitcoin into Layer Zero

hackernoon.com

The Internet Computer Protocol (ICP) has introduced threshold-Schnorr signatures, a significant update poised to position ICP...
The Internet Computer Protocol (ICP) has introduced threshold-Schnorr signatures, a significant update poised to position ICP as the foundational layer zero for Bitcoin. This development enhances ICP's smart contracts, enabling functionalities like etching Runes and transferring BRC-20 tokens, thereby enriching the Bitcoin-based DeFi and Web3 landscape. Expected to be fully operational this summer, this advancement could redefine how smart contracts interact with the Bitcoin...

bitcoin-layer-zero decentralized-blockchain etching-runes good-company hackernoon-es
1
HyperTransformer: G Additional Tables and Figures

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: F Visualization of The Generated CNN Weights

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: C Additional Supervised Experiments

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: A Example of a Self-Attention Mechanism For Supervised Learning

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: Conclusion and References

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: B Model Parameters

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning: Experiments

hackernoon.com

In this paper we propose a new few-shot learning approach that allows us to decouple the...
In this paper we propose a new few-shot learning approach that allows us to decouple the complexity of the task space from the complexity of individual tasks.

few-shot-learning hypertransformer parametric-model
1
Efficient Neural Network Approaches for Conditional Optimal Transport: Discussion and Reference

hackernoon.com

This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional...
This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional optimal transport problems, respectively.

cot-maps cot-problems dynamic-cot efficient-neural-network neural-network-approaches
1
Efficient Neural Network Approaches for Conditional Optimal Transport: Numerical Experiments

hackernoon.com

This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional...
This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional optimal transport problems, respectively.

cot-maps cot-problems dynamic-cot efficient-neural-network neural-network-approaches
1
Efficient Neural Network Approaches: Implementation and Experimental Setup

hackernoon.com

This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional...
This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional optimal transport problems, respectively.

cot-maps cot-problems dynamic-cot efficient-neural-network neural-network-approaches
1
Efficient Neural Network Approaches for Conditional Optimal Transport:Conditional OT flow (COT-Flow)

hackernoon.com

This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional...
This paper presents two neural network approaches that approximate the solutions of static and dynamic conditional optimal transport problems, respectively.

cot-maps cot-problems dynamic-cot efficient-neural-network neural-network-approaches
1