Nov 26 | Women, Technology, and Peacemaking Webinar: 25 Years After UNSCR 1325
citizenlab.ca·20h
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DAILY CALLER EXCLUSIVE : US Nuclear Bomber Fleet Shares Fence With Trailer Park Linked To Chinese Intel - Tied Fraudster
themainewire.com·1d
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Memory in AI Companions: Implementing Vector-Based Long-Term User State
nsfwcoders.com·1d·
Discuss: DEV
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UK suspends some intelligence sharing with US over boat strike concerns in major break
thehill.com·14h
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How Multi-Agent AI Systems Are Powering On-Demand Apps
peppyocean.com·1d
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Teachers fear AI could weaken critical thinking — Mark Cuban says it can do the opposite and build better leaders
businessinsider.com·1d
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Chronosphere takes on Datadog with AI that explains itself, not just outages
venturebeat.com·1d
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Cybersecurity Snapshot: AI Will Take Center Stage in Cyber in 2026, Google Says, as MITRE Revamps ATT&CK Framework
tenable.com·4d
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Rusty-R2: Open source AI you can actually train yourself on consumer hardware
github.com·8h·
Discuss: r/LocalLLaMA
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Google Is Introducing Its Own Version of Apple's Private AI Cloud Compute
tech.slashdot.org·12h
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The State of AI: here comes the energy crunch - Financial Times
news.google.com·1d
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Evolution's Alignment Solution: Why Burnout Prevents Monsters
lesswrong.com·1d
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RAG vs CAG vs MCP: The Next Evolution in Machine Learning-Powered AI Systems
dev.to·1d·
Discuss: DEV
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Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
arxiv.org·8h
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I'm Going All-In on AI for Developers.
dev.to·1d·
Discuss: DEV
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Educational Byte: How to Find and Install a Fully Decentralized Node on Obyte
hackernoon.com·1d
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Comparing Reconstruction Attacks on Pretrained Versus Full Fine-tuned Large Language Model Embeddings on Homo Sapiens Splice Sites Genomic Data
arxiv.org·8h
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TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
arxiv.org·1d
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SERL: Self-Examining Reinforcement Learning on Open-Domain
arxiv.org·8h
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Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
arxiv.org·1d
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