Semios

In this study, we analyze the top-circulated Facebook memes relating to critical race theory (CRT) to investigate their visual and textual appeals.

Online Knowledge Production in Polarized Political Memes: Methods

I think the best way to understand all the things that AI is missing is to describe a single example situation that folds together a variety of cognitive <strong>abilities that humans typically take for granted</strong>. Contemporary AI and machine learning (ML) methods can address each ability in isolation (to varying degrees of quality), but <em>integrating</em> these abilities is still an elusive goal.

AI’s Biggest Unresolved Issue: Linking Patterns in a Bidirectional Way with Symbolic…

A systematic review of AI models for detecting depression on social media reveals key biases that limit accuracy, generalizability, and ethical application. 

Bias in Machine Learning Models for Depression Detection

An in-depth analysis of 1,355 GitHub Copilot issues reveals key problems, causes, and solutions—and what Copilot’s team should improve next.

Common Problems with GitHub Copilot (And How to Solve Them)

Challenges classical evolution by highlighting epigenetics and gene networks, showing evolution is faster, layered, and less random than once believed. 

Can We Intentionally Direct Evolution?

Generative AI systems reinforce bias and stereotypes, harming minoritized users through omission, subordination, and stereotyping in everyday interactions.

AI Bias Isn't Always Loud—Sometimes Its Laissez-Faire

Rodrigo Coelho, CEO of Edge & Node, shares his journey from startups to leading The Graph and shaping the future of Web3.

How Edge & Node’s Rodrigo Coelho Is Reimagining the Web with The Graph

Sam Green of Cambrian Network on powering AI-driven DeFi with verifiable blockchain data for real-time, agentic financial systems.

How Cambrian Network Is Powering the Future of AI-Driven DeFi

Explore a novel AI framework for concept interoperability, using self-supervised learning and prototypes to ensure concept stability across domains.

Why Our Prototype-based AI Beats Traditional Concept Learning Approaches

A new partnership between Addressable and Sevio will enable programmatic display ads on major crypto platforms, making web3 target more efficient. 

Is Web3 Advertising Finally Solving Its Targeting Problem? Addressable & Sevio Expand Web3 Ads Reach

The world is data-driven, and it has become a necessity to extract meaningful insights from unstructured data.

9 Big Takeaways From Data Analytics This Year 

Geo Genesis is a platform designed to organize and manage knowledge within decentralized networks as a web3 knowledge management platform. 

The Graph Launches Geo Genesis to Transform Web3 Knowledge Management

Researchers in Poland have developed an open-source tool that improves the evaluation and comparison of AI used in natural language preprocessing.

New Open-Source Platform Is Letting AI Researchers Crack Tough Languages

This conclusion summarizes insights on how topology awareness affects GNN generalization performance. 

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions

Explore the influence of topology awareness on the generalization performance of Graph Neural Networks (GNNs) in this comprehensive study. 

Understanding Topology Awareness in Graph Neural Networks

Enter the #OptOut Writing Contest by Āut Labs and win up to $6000! Write about coordination, governance, or systems in the decentralized web.

Write About Coordination, Governance, or System in the Opt Out Contest, Win up to $6000 in Prizes

Do you want to see self-driving trucks on the road, or do you prefer human drivers? Here are the pros and cons of autonomous trucks in the supply chain.

7 Consequences of Autonomous Trucks in the Supply Chain

“Data Rules” is a book about the relationship of data with economic institutions and society, but also about the interplay with data technologies

Data Rules: Exploring the Interplay Between Data, Economy, and Society in the Digital Age

This study proposes a set of carefully curated linguistic features for shallow machine learning methods and compares their performance with deep language models

Comparison of Machine Learning Methods: Conclusions and Future Work, and References

This paper improves methods for degenerating "Hilbert schemes" (geometric objects) on surfaces, exploring stability and connections to other constructions. 

Expansions for Hilbert Schemes: Stack Perspective

Expansions for Hilbert Schemes: GIT Stability

Expansions for Hilbert Schemes: Abstract and Intro

Expansions for Hilbert Schemes: References

Discover how advances in Novel Class Discovery (NCD) algorithms are unlocking new possibilities in solving NCD problems even in realistic scenarios. 

Unlocking Novel Class Discovery: Advances in NCD Algorithms and Hyperparameter Tuning

Semiosis in the Robotic Process Automation Industry

SEMIOS

semios.ai

184-300 emps

Since 2010

Worth 790M

Semios's stories on HackerNoon

Online Knowledge Production in Polarized Political Memes: Methods

AI’s Biggest Unresolved Issue: Linking Patterns in a Bidirectional Way with Symbolic…

Bias in Machine Learning Models for Depression Detection

Common Problems with GitHub Copilot (And How to Solve Them)

Can We Intentionally Direct Evolution?

AI Bias Isn't Always Loud—Sometimes Its Laissez-Faire

How Edge & Node’s Rodrigo Coelho Is Reimagining the Web with The Graph

How Cambrian Network Is Powering the Future of AI-Driven DeFi

Why Our Prototype-based AI Beats Traditional Concept Learning Approaches

Is Web3 Advertising Finally Solving Its Targeting Problem? Addressable & Sevio Expand Web3 Ads Reach

9 Big Takeaways From Data Analytics This Year

The Graph Launches Geo Genesis to Transform Web3 Knowledge Management

New Open-Source Platform Is Letting AI Researchers Crack Tough Languages

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions

Understanding Topology Awareness in Graph Neural Networks

Write About Coordination, Governance, or System in the Opt Out Contest, Win up to $6000 in Prizes

7 Consequences of Autonomous Trucks in the Supply Chain

Data Rules: Exploring the Interplay Between Data, Economy, and Society in the Digital Age

Comparison of Machine Learning Methods: Conclusions and Future Work, and References

Expansions for Hilbert Schemes: Stack Perspective

Expansions for Hilbert Schemes: GIT Stability

Expansions for Hilbert Schemes: Abstract and Intro

Expansions for Hilbert Schemes: References

Unlocking Novel Class Discovery: Advances in NCD Algorithms and Hyperparameter Tuning

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