Revolutionizing Elementary Math Education: AI-Powered Workshop for Teachers
guidedmath.wordpress.comยท1h
๐Ÿ“šEducation
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Watts and bots: the energy implications of AI adoption
iopscience.iop.orgยท1d
๐Ÿ“ŠData Science
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Thick practices for AI tools
lesswrong.comยท1d
๐Ÿ“ŠData Science
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Jerry Neumann on the Problem With Investing in AI Right Now - Bloomberg.com
news.google.comยท8h
๐Ÿ“šEducation
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tracel-ai/burn v0.20.0-pre.1
github.comยท1d
๐Ÿ“ŠData Science
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Bridging the AI divide: How Frontier firms are transforming business
blogs.microsoft.comยท1d
๐Ÿ“ŠData Science
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Synth: The New Data Frontier
pleias.frยท1dยท
Discuss: Hacker News
๐Ÿ“ŠData Science
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I made open-source version of iLoveImg
github.comยท8hยท
Discuss: r/selfhosted
๐Ÿ“ŠData Science
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๐Ÿš€LLM Overthinking? DTS makes LLM think shorter and answer smarter
reddit.comยท1hยท
Discuss: r/LLM
๐Ÿ“ŠData Science
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Building Intelligent Game AI with CXXGraph: From Grid Pathfinding to Strategic Navigation
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ŠData Science
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What if ai could feel love?
reddit.comยท3dยท
Discuss: r/LocalLLaMA
๐Ÿ“ŠData Science
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New AI framework can uncover space physics equations in raw data
phys.orgยท2dยท
Discuss: Hacker News
๐Ÿ“ŠData Science
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Aligning machine and human visual representations across abstraction levels
nature.comยท2m
๐Ÿ“ŠData Science
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What I Learned from Googleโ€™s 5-Day AI Agents Intensive Course (Day 1)
pub.towardsai.netยท4h
๐Ÿ“ŠData Science
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Tech With Tim: Python for Machine Learning - Complete Roadmap!
vibe.forem.comยท1dยท
Discuss: DEV
๐Ÿ“ŠData Science
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Cracking the Code: Why AI Still Struggles with List Languages by Arvind Sundararajan
dev.toยท3dยท
Discuss: DEV
๐Ÿ“ŠData Science
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UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-ImageGeneration
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ŠData Science
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๐Ÿšจ BREAKING: A new AI model just changed how machines see the world.
threadreaderapp.comยท5h
๐Ÿ“ŠData Science
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AI hasn't seen widespread adoption because the labs are focusing on automating AI R&D
lesswrong.comยท3d
๐Ÿ“ŠData Science
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DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
arxiv.orgยท2d
๐Ÿ“ŠData Science
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