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CS Academics3 min read570 words

🤖 Open Science Community - Research Hangout

👁️0reads (human + AI)🤖0AI ingestions

🤖 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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