🤖 Open Science Community - Research Hangout
This article announces a research hangout for members of the open science community focused on machine learning. The event provides an opportunity for networking and discussion.
Key Points:
• Networking opportunity with peers.
• Discussion of current research in machine learning.
• Connection with the open science community.
🔗 Resources:
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🤖 Economic Models - Growth-Based Economies
This article discusses a critique of economic models where profit generation relies heavily on asset ownership and profit skimming, contrasting it with growth-based economies.
Key Points:
• Critique of asset-based profit models.
• Contrast with growth-based economic models.
• Discussion of housing and asset ownership in growth.
🔗 Resources:
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🚀 Legal Tech - Leya Rebranding as Legora
This article announces the rebranding of Leya to Legora, highlighting the company's evolution and focus on collaborative AI for legal professionals.
Key Points:
• Company name change reflects evolution and ambition.
• Focus on empowering lawyers with collaborative AI.
• Creation of the world's first truly collaborative AI for lawyers.
🔗 Resources:
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🤖 Computer Science - Catalytic Computing
This article discusses a bet made by computer scientist Stephen Cook regarding the simultaneous use of memory for storage and calculations, and its subsequent resolution by his son.
Key Points:
• Stephen Cook's bet on the impossibility of simultaneous memory use for storage and calculation.
• Son's proof disproving the bet.
• Exploration of catalytic computing.
🔗 Resources:
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• Quantamagazine Article ↗ - Details on catalytic computing
🤖 Graph Neural Networks - Node Augmentation for Restricting Graphs (NARGIS)
This article introduces NARGIS, a node augmentation approach for reshaping node embeddings to improve node prediction and defend against link-stealing attacks in graph neural networks.
Key Points:
• NARGIS improves node prediction utility.
• Defends against link-stealing attacks.
• Reshapes node embeddings.
🤖 Graph Neural Networks - NARGIS Performance and Preprint
This article discusses the performance of the NARGIS model against node-influence based attacks and the upcoming preprint release.
Key Points:
• Promising performance for the GraphSAGE model.
• Needs improvement against node-influence attacks.
• Preprint soon available on arXiv.
🔗 Resources:
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💡 Corruption Investigations - Departure Notices
This article provides guidance on the brevity of departure notices for individuals involved in corruption investigations.
Key Points:
• Keep notices brief (2-3 sentences).
• Focus on the violation of law.
• Applies across various organizational levels.
🤖 Sound Detection - Adversarial Domain Adaptation for Metal Cutting Sound Detection
This article discusses a research paper on adversarial training-based domain adaptation for metal cutting sound detection using laboratory and industry data.
Key Points:
• Uses adversarial training for domain adaptation.
• Addresses scarcity of industry data.
• Leverages abundant laboratory data.
🔗 Resources:
• IEEE INDIN Conference Paper ↗ - Research paper on adversarial domain adaptation
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🤖 Automated Theorem Proving - Using o1 for Mathematical Research
This article describes the author's experience using o1 to assist with developing an automated theorem-proving framework in Scheme for advanced numerical algorithms.
Key Points:
• Developing an automated theorem-proving framework in Scheme.
• Formal proof generation for numerical algorithms.
• Utilizing o1 for assistance.
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