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POWER LEADER: Anvl's Zach Taylor on the Connected Worker Platform for Safety and Productivity

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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
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HackerNoon's Emoji Credibility Indicators are Live on GitHub and Figma!

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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
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The Rise of NFTs: The Future of Digital Ownership

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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
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The React AI Library Upgrade You May Have Been Looking For

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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
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Code Smell 247 - Javascript Function Naming

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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
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Recent Market Dynamics in Crypto: ETH Whales, SHIB's Downturn, and Furrever Token's Presale Surge

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

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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
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Nimiq Pay: Connecting Cryptocurrency with Daily Payments

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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
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ICP Unveils Game-Changing Integration to Transform Bitcoin into Layer Zero

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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
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HyperTransformer: G Additional Tables and Figures

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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
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HyperTransformer: F Visualization of The Generated CNN Weights

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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
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HyperTransformer: C Additional Supervised Experiments

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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
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HyperTransformer: A Example of a Self-Attention Mechanism For Supervised Learning

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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
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HyperTransformer: Conclusion and References

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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
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HyperTransformer: B Model Parameters

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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
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HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning: Experiments

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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

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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
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Efficient Neural Network Approaches for Conditional Optimal Transport: Numerical Experiments

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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
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Efficient Neural Network Approaches: Implementation and Experimental Setup

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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
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Efficient Neural Network Approaches: Partially Convex Potential Maps (PCP-Map) for Conditional OT

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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
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Efficient Neural Network Approaches for Conditional Optimal Transport:Conditional OT flow (COT-Flow)

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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: Background and Related Work

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: Abstract & Introduction

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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
Using Autodiff to Estimate Posterior Moments, Marginals and Samples: Experimental Datasets and Model

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Importance weighting allows us to reweight samples drawn from a proposal in order to compute expectations...
Importance weighting allows us to reweight samples drawn from a proposal in order to compute expectations of a different distribution.

autodiff backward-traversals bayesian-posterior importance-sampling importance-weighting
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