Are Digital Avatars The Next Phase of Human Evolution?

Digital avatars continue to be a significant element in shaping our online personas. With a valuation of USD 19.7 Billion in 2023, the digital avatar market is growing rapidly and is projected to reach USD 533.8 Billion by 2032. At Social Discovery Group, we actively create products that contribute to Social Life 3.0, making us … Read more

Mahesh Kambalan on Next-Gen Healthcare Analytics

How Did Mahesh Kambala Contribute to the Fight Against COVID-19? During the global COVID-19 pandemic, the healthcare industry faced unprecedented challenges that highlighted the importance of healthcare analytics in addressing data gaps and managing resources. Prioritizing and integrating analytics with healthcare objectives was crucial for saving lives, addressing weaknesses, and improving preparedness for future disruptions. … Read more

The Noonification: HackerNoons Emoji Credibility Indicators are Live on GitHub and Figma! (4/16/2024)

How are you, hacker? 🪐What’s happening in tech this week: The Noonification by HackerNoon has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference here. ## Analysis of Network Graphs: Visualizing Hamilton Characters as a Social Network By @iswaryam [ … Read more

Using Low-Code Development to Streamline Internal Business Processes

Today’s business world has become very appreciative of agility and efficiency. Companies keep searching for new ways to optimize working processes and intensify the productivity of said processes. One of these ways is low-code development. This article dives into how low-code development can be helpful in business process automation and the upsurge of process transparency, … Read more

30-Day .NET Challenge – Day 26: Loop Unrolling

The article demonstrates the advantages of loop unrolling by iterating over multiple items per cycle while adjusting the loop counter accordingly. Learning Objectives The problem with iterating using traditional loops Advantages with loop unrolling Prerequisites for Developers Basic understanding of C# programming language. Familiar with for loops Getting Started The problem with iterating using traditional … Read more

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

Welcome to “Power Leader,” an exploration of leadership and innovative technologies reshaping various industries. This series is designed to bring to light the pivotal roles that leaders play in driving their organizations towards groundbreaking achievements, especially through the lens of technological advancements and strategic foresight. The leaders featured in “Power Leader” are selected because they … Read more

The Rise of NFTs: The Future of Digital Ownership

Do you remember seeing an image of an egg receiving millions of likes on Instagram, unlike any other post? If you have, you would know that there wasn’t anything extraordinary about that simple, plain picture of an egg. Likewise, you cannot even fathom how a digital image of a particular subject matter, such as a … Read more

The React AI Library Upgrade You May Have Been Looking For

I have been building tons of applications. My latest one is Gitroom. It helps you to: Schedule your posts on multiple social media platforms and cross-post them to publishing platforms such as DEV, Medium, and Hashnode. Track your GitHub repository metrics. Monitor GitHub trendings (it’s open-sourced 🙏🏻)That’s nice and all, but here is the real … Read more

Code Smell 247 – Javascript Function Naming

TL;DR: Bad function names will lead you to defects Problems Misleading Names The least surprise principle violation Solutions Avoid ambiguous or bad names Wrap with your functions Use mature languages Context Some names in immature languages break the bijection principle. When you use them, you agree on some semantics that are not the actual behavior. … Read more

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

Recently, the dynamics of Shiba Inu (SHIB), Ethereum (ETH), and Furrever Token (FURR) exemplify the diverse strategies and outcomes unfolding in the market. Shiba Inu, often swayed by market sentiments, is currently experiencing a downturn, with its price dipping below $0.000019 earlier in the day before coming to its current level. Despite this, the team … Read more

Meet Neurahub – The Perfect Coding Buddy to Help You Learn and Create

Coding has just become simpler, thanks to Neurahub. This all-in-one generative AI platform provides easy-to-use tools for beginner and expert developers. 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 … Read more

Nimiq Pay: Connecting Cryptocurrency with Daily Payments

Nimiq, the blockchain payments ecosystem, has introduced Nimiq Pay, a revolutionary step towards enabling cryptocurrency to be accessible to everyone. This took place in Dubai during the Token2049 Week this year. This cutting-edge self-custodial crypto payments app is the first step towards Nimiq’s goal of becoming the most widely used digital asset for payments globally. … Read more

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

The Internet Computer Protocol (ICP) team, a decentralised blockchain network noted for increasing Web3 capabilities, announced the addition of threshold-Schnorr signatures to the ICP framework. This major enhancement is anticipated to transform ICP into what many see as the Bitcoin layer zero. By incorporating these new cryptographic signatures, ICP smart contracts will be able to … Read more

HyperTransformer: G Additional Tables and Figures

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: F Visualization of The Generated CNN Weights

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: C Additional Supervised Experiments

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: D Dependence On Parameters and Ablation Studies

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

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

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: Conclusion and References

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

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

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: B Model Parameters

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: Problem Setup and Related Work

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

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

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

HyperTransformer: Abstract and Introduction

:::info This paper is available on arxiv under CC 4.0 license. Authors: (1) Andrey Zhmoginov, Google Research & {azhmogin,sandler,mxv}@google.com; (2) Mark Sandler, Google Research & {azhmogin,sandler,mxv}@google.com; (3) Max Vladymyrov, Google Research & {azhmogin,sandler,mxv}@google.com. ::: Table of Links Abstract and Introduction Problem Setup and Related Work HyperTransformer Experiments Conclusion and References A Example of a Self-Attention … Read more

How to Correctly Plan and Implement A GRC Strategy in Your Digital Business

Governance, Risk, and Compliance (GRC) policies in digital business encompass integrated practices that ensure that your processes align with regulations, industry standards, and internal policies. Most commonly it refers to governance structures, risk management, and compliance measures. The regulatory part of the digital landscape evolves dynamically and leans towards tightening measures, at the same time, … Read more

LLMs vs Leetcode (Part 1 & 2): Understanding Transformers’ Solutions to Algorithmic Problems

In the spirit of the Mechanistic interpretability agenda for neural networks, this post (and perhaps others to follow in a series) investigates the “algorithms” learned by a transformer model for tackling a narrow technical task —a modified version of the “Valid Parentheses” Leetcode problem. While the utility of the task is much more modest in … Read more