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[ | ||
{ | ||
"title": "Algorithms Repository", | ||
"description": "Source code of the algorithms developed by CORA.", | ||
"link": "https://github.com/cora-project/algorithms" | ||
}, | ||
{ | ||
"title": "User Interface", | ||
"description": "Source code of the user interface for the CORA project.", | ||
"link": "https://github.com/cora-project/ui" | ||
} | ||
] |
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[ | ||
{ | ||
"id": "1", | ||
"title": "New Research Paper Published", | ||
"subtitle": "Our latest research paper on geometric deep learning has been published.", | ||
"date": "June 19, 2024", | ||
"content": "Our latest research paper on geometric deep learning has been published in the Journal of AI Research. This paper explores..." | ||
}, | ||
{ | ||
"id": "2", | ||
"title": "CORA Project Receives Funding", | ||
"subtitle": "The CORA project has received new funding from the National Science Foundation.", | ||
"date": "May 30, 2024", | ||
"content": "The CORA project has received new funding from the National Science Foundation to continue our groundbreaking work in geometric deep learning..." | ||
} | ||
|
||
] |
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{ | ||
"summary": "The Cora project proposes an innovative approach to solving complex problems by using debates between artificial intelligence agents (LLMs). This interactive environment allows LLMs to debate and refine their ideas, overcoming the limitations of individual approaches. By generating new perspectives on reasoning and decision-making, Cora promises significant advances in strategic planning and scientific problem-solving.", | ||
"objectives": [ | ||
"Develop an interactive environment for debates between multiple LLM agents to solve complex problems.", | ||
"Investigate debate and interaction strategies among LLMs, such as argumentation, negotiation, and cooperation.", | ||
"Evaluate the effectiveness of the environment in solving complex problems compared to individual LLM approaches.", | ||
"Explore the potential of the environment for applications in areas such as strategic planning, decision-making, and solution design." | ||
], | ||
"methodology": [ | ||
"Selection of LLMs: Choose language models to participate in the debates.", | ||
"Environment development: Create an interactive environment for the debates.", | ||
"Definition of complex problems: Select problems that require reasoning, planning, and decision-making.", | ||
"Implementation of debate strategies: Apply different debate strategies among LLMs.", | ||
"Evaluation and analysis: Assess the effectiveness of the environment in solving complex problems." | ||
], | ||
"applications": [ | ||
"Theorem proving in formal language: Integrate with tools like LeanDojo.", | ||
"Theorem proving in natural language: Integrate with the NaturalProver system.", | ||
"Analysis of financial asset price series: Integrate with Expert Advisors.", | ||
"Development of multidisciplinary educational material: Create high-quality educational content." | ||
], | ||
"alignment": "The Cora project is committed to the ethical development and use of AI, seeking solutions that respect human rights and diversity. Additionally, it contributes to the structuring of AI governance ecosystems, promoting best practices and codes of conduct." | ||
} |
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[ | ||
{ | ||
"title": "Deep Learning for Geometry Processing", | ||
"authors": "John Doe, Jane Smith", | ||
"journal": "Journal of Computational Geometry", | ||
"year": 2023, | ||
"doi": "https://doi.org/10.1000/jcg.2023.123456" | ||
}, | ||
{ | ||
"title": "Advanced Neural Networks", | ||
"authors": "Alice Johnson, Robert Brown", | ||
"journal": "Neural Processing Letters", | ||
"year": 2022, | ||
"doi": "https://doi.org/10.1000/npl.2022.654321" | ||
}, | ||
{ | ||
"title": "Machine Learning Applications in Robotics", | ||
"authors": "Emily Davis, Michael Wilson", | ||
"journal": "Robotics and Automation Journal", | ||
"year": 2021, | ||
"doi": "https://doi.org/10.1000/raj.2021.987654" | ||
}, | ||
{ | ||
"title": "Artificial Intelligence in Healthcare", | ||
"authors": "William Martinez, Olivia Harris", | ||
"journal": "Healthcare Informatics", | ||
"year": 2020, | ||
"doi": "https://doi.org/10.1000/hi.2020.321098" | ||
}, | ||
{ | ||
"title": "Big Data Analytics", | ||
"authors": "David Lee, Emma Moore", | ||
"journal": "Data Science Journal", | ||
"year": 2019, | ||
"doi": "https://doi.org/10.1000/dsj.2019.654987" | ||
} | ||
] |
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[ | ||
{ | ||
"name": "TechCorp", | ||
"description": "A leading tech company providing cutting-edge solutions.", | ||
"logo": "assets/images/techcorp.svg" | ||
}, | ||
{ | ||
"name": "HealthPlus", | ||
"description": "Innovative healthcare services and solutions.", | ||
"logo": "assets/images/healthplus.svg" | ||
}, | ||
{ | ||
"name": "EduTech", | ||
"description": "Empowering education through technology.", | ||
"logo": "assets/images/edutech.svg" | ||
} | ||
] |
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[ | ||
{ | ||
"id": "1", | ||
"name": "Antonio Murilo", | ||
"role": "Research Diretor", | ||
"photo": "assets/images/antonio.jpg", | ||
"summary": "PhD, Neuroscience, Albert Einstein College of Medicine 2019", | ||
"details": "Nachi received his BS and MS from the University of Notre Dame." | ||
}, | ||
{ | ||
"id": "2", | ||
"name": "Wilson Rosa", | ||
"role": "Research Scientist", | ||
"photo": "assets/images/wilson.jpg", | ||
"summary": "PhD, Biomedical Engineering, MIT 2020", | ||
"details": "Jane has a background in biomedical engineering and focuses on developing innovative approaches to understanding brain function using neural imaging techniques. Her current research interests include the application of machine learning to neuroimaging data. Jane enjoys hiking, painting, and volunteering in her community." | ||
}, | ||
{ | ||
"id": "3", | ||
"name": "Leon Silva", | ||
"role": "Research Scientist", | ||
"photo": "assets/images/leon.jpg", | ||
"summary": "PhD, Computer Science, Stanford University 2021", | ||
"details": "John is a graduate student specializing in artificial intelligence and its applications in neuroscience. His research focuses on the development of algorithms for analyzing neural data. John is passionate about technology, music, and playing soccer." | ||
}, | ||
|
||
{ | ||
"id": "4", | ||
"name": "Ivan René Roa González", | ||
"role": "Research Scientist", | ||
"photo": "assets/images/ivan.jpg", | ||
"summary": "PhD, Physics, Stanford University 2021", | ||
"details": "John is a graduate student specializing in artificial intelligence and its applications in neuroscience. His research focuses on the development of algorithms for analyzing neural data. John is passionate about technology, music, and playing soccer." | ||
} | ||
] |
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<!DOCTYPE html> | ||
<html lang="pt"> | ||
<head> | ||
<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<title>CORA Project</title> | ||
<link rel="stylesheet" href="styles.css"> | ||
</head> | ||
<body> | ||
<header id="header"> | ||
<div class="header-container"> | ||
<div class="logo"> | ||
<a href="#home"><img src="assets/images/logo.png" alt="CORA Project Logo"></a> | ||
</div> | ||
<nav> | ||
<ul> | ||
<li><a href="#home">Home</a></li> | ||
<li><a href="#news">News</a></li> | ||
<li><a href="#team">Team</a></li> | ||
<li><a href="#publications">Publications</a></li> | ||
<li><a href="#code">Code</a></li> | ||
<li><a href="#sponsors">Sponsors</a></li> | ||
<li><a href="#contact" class="contact-button">Contact</a></li> <!-- Novo botão de contato --> | ||
</ul> | ||
</nav> | ||
<div class="github-link"> | ||
<a href="https://github.com/cora-project" target="_blank" title="GitHub Repository"> | ||
<svg height="32" viewBox="0 0 16 16" version="1.1" width="32" aria-hidden="true"> | ||
<path fill-rule="evenodd" fill="#333" d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.54 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.01.08-2.1 0 0 .67-.21 2.2.82a7.545 7.545 0 012 0c1.53-1.03 2.2-.82 2.2-.82.44 1.09.16 1.9.08 2.1.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.64 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path> | ||
</svg> | ||
</a> | ||
</div> | ||
</div> | ||
</header> | ||
|
||
<main> | ||
<section id="home"> | ||
<div id="slideshow-container"></div> | ||
<br> | ||
<div style="text-align:center"> | ||
<span class="dot" onclick="currentSlide(1)"></span> | ||
<span class="dot" onclick="currentSlide(2)"></span> | ||
<span class="dot" onclick="currentSlide(3)"></span> | ||
<span class="dot" onclick="currentSlide(4)"></span> | ||
<!-- <span class="dot" onclick="currentSlide(5)"></span>--> | ||
</div> | ||
</section> | ||
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||
<section id="news"> | ||
<h2>News</h2> | ||
<div id="news-container"></div> | ||
</section> | ||
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||
<section id="team"> | ||
<h2>Team</h2> | ||
<div id="team-container"></div> | ||
</section> | ||
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||
<section id="publications"> | ||
<h2>Publications</h2> | ||
<div id="publications-container"></div> | ||
</section> | ||
|
||
<section id="code"> | ||
<h2>Code</h2> | ||
<div id="code-container"></div> | ||
</section> | ||
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||
<section id="sponsors"> | ||
<h2>Sponsors</h2> | ||
<div id="sponsors-container"></div> | ||
</section> | ||
<section id="contact"> | ||
|
||
<h2>Contact</h2> | ||
<div id="contact-container"> | ||
<p>If you have any questions or need further information, please contact us at: <a href="mailto:[email protected]">[email protected]</a></p> | ||
</div> | ||
</section> | ||
</main> | ||
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<footer> | ||
<p>© 2024 CORA Project</p> | ||
</footer> | ||
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<script src="../script.js"></script> | ||
</body> | ||
</html> |
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<!DOCTYPE html> | ||
<html lang="pt"> | ||
<head> | ||
<meta charset="UTF-8"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | ||
<title>News Details</title> | ||
<link rel="stylesheet" href="styles.css"> | ||
</head> | ||
<body> | ||
<header id="header"> | ||
<div class="header-container"> | ||
<div class="logo"> | ||
<a href="index.html"><img src="assets/images/logo.png" alt="CORA Project Logo"></a> | ||
</div> | ||
<nav> | ||
<ul> | ||
<li><a href="index.html#home">Home</a></li> | ||
<li><a href="index.html#news">News</a></li> | ||
<li><a href="index.html#team">Team</a></li> | ||
<li><a href="index.html#publications">Publications</a></li> | ||
<li><a href="index.html#code">Code</a></li> | ||
<li><a href="index.html#sponsors">Sponsors</a></li> | ||
</ul> | ||
</nav> | ||
</div> | ||
</header> | ||
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<main> | ||
<article id="news-article"> | ||
<!-- O conteúdo da notícia será carregado dinamicamente aqui --> | ||
</article> | ||
</main> | ||
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<footer> | ||
<p>© 2024 CORA Project</p> | ||
</footer> | ||
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<script src="../script.js"></script> | ||
</body> | ||
</html> |
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