Why AI Content All Sounds the Same & How SEO Pros Can Fix It via @sejournal, @mktbrew
searchenginejournal.com·5h
🔀Transformers
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We're Counting Birbs Today
💾Database
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
🔧Feature Engineering
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Humans and neural networks show similar patterns of transfer and interference
🔀Transformers
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PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-CompactVision-Language Model
🔧Feature Engineering
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Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation
arxiv.org·6h
🌐Distributed Systems
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Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
arxiv.org·6h
🤖AI
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MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
arxiv.org·1d
🤖AI
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OSMGen: Highly Controllable Satellite Image Synthesis using OpenStreetMap Data
arxiv.org·2d
🤖AI
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·2d
🔀Transformers
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Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
arxiv.org·6h
🤖AI
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Human-centric photo dataset aims to help spot AI biases responsibly
techxplore.com·14h
🤖AI
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·1d
🤖AI
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CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic
arxiv.org·6h
🔧Feature Engineering
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·1d
🎮Reinforcement Learning
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List Decoding and New Bicycle Code Constructions for Quantum LDPC Codes
arxiv.org·6h
💾Database
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