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MACHINE LEARNING
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SAS Viya: Advanced Analytics Platform for Enterprise Teams
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Snorkel CEO Discusses High-Quality Labeled Data Value
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Snorkel CEO @ajratner spoke at the 22nd @MontySummit on the value of high-quality labeled data and evaluation. Great to be part of this insightful event! #MontySummit #SnorkelAI
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AI Achieves Nearly Perfect Cancer Detection Rate Surpassing Doctors
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Nearly 100% of cancer identified by new #AI, easily outperforming doctors
#RiseoftheRobots https://
newatlas.com/cancer/ai-canc
er-diagnostic/
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SQL Pipe Syntax for Modern Database Management
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[SQL Death] Pipe Syntax in SQL: SQL for the 21st Century – Carnegie Mellon Database Group https://
buff.ly/WSliP9v
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Code Fundamentals: Why AI Development Relies on Programming
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Agreed. And even if it mainly applies to coding, that's pretty important. AI is made of code.
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COBOL Unlearning and AI Model Training Implications
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“How could unlearning COBOL lead to this?” I’m crying
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GridMix: Novel Machine Learning Approach with Open Source Code
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Paper: https://
openreview.net/forum?id=Fur0D
tynPX
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Code: https://
github.com/LeapLabTHU/Gri
dMix
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CORAL Approach: Multi-Resolution Feature Grids for Spatial Modulation
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It leverages the CORAL approach, encoding each INR with a multi-resolution feature grid for spatial modulation and integrating a novel spatial domain augmentation strategy to improve generalization across spatial domains.
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GridMix Enhances Implicit Neural Representations for PDE Solving
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This ICLR 2025 Oral paper from Tsinghua University presents GridMix, which enhances implicit neural representations (INRs) for solving PDEs.
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FlashMLA: Cutting KV Cache Memory in LLMs
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This week, we explore what FlashMLA is, why it matters, and how it builds on key innovations like Mixture of Experts, infinite context attention, and context caching! https://
louisbouchard.substack.com/p/how-flashmla
-cuts-kv-cache-memory
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