Submissions from research.google

		Google Gemini Interactive Sampler (research.google)
		1 point by AristidisG 1 day ago \| past \| discuss
		Gemini provides automated feedback for theoretical computer scientists (research.google)
		2 points by reqo 15 days ago \| past
		Why Google Stores Billions of Lines of Code in a Single Repository (research.google)
		3 points by handfuloflight 19 days ago \| past
		A differentially private framework for gaining insights into AI chatbot use (research.google)
		1 point by tzury 20 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		152 points by themgt 23 days ago \| past \| 10 comments
		Google Titans architecture, helping AI have long-term memory (research.google)
		587 points by Alifatisk 23 days ago \| past \| 186 comments
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		3 points by bilsbie 24 days ago \| past
		Google research: Titans and MIRAS: Helping AI have long-term memory (research.google)
		2 points by l3x4ur1n 25 days ago \| past
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		3 points by tamnd 25 days ago \| past
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		4 points by xnx 26 days ago \| past \| 1 comment
		Generative UI: A rich, custom, visual interactive user experience for any prompt (research.google)
		1 point by pramodbiligiri 33 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		1 point by wslh 36 days ago \| past
		Generative UI (research.google)
		3 points by panarky 42 days ago \| past \| 1 comment
		DS-STAR: a versatile data science agent (research.google)
		3 points by jonbaer 43 days ago \| past
		A new quantum toolkit for optimization (research.google)
		3 points by simonpure 47 days ago \| past \| 1 comment
		Nested Learning: A new ML paradigm for continual learning (research.google)
		5 points by danielmorozoff 49 days ago \| past
		DS-STAR: a versatile data science agent (Nov-2025) (research.google)
		1 point by engine_y 51 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		4 points by gmays 51 days ago \| past \| 1 comment
		Nested Learning: A new ML paradigm for continual learning (research.google)
		4 points by SweetSoftPillow 52 days ago \| past
		Nested Learning – A new ML paradigm for continual learning (research.google)
		7 points by badmonster 52 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		7 points by pr337h4m 53 days ago \| past \| 1 comment
		DS-STAR: a versatile data science agent (research.google)
		1 point by simonpure 53 days ago \| past
		Exploring a space-based, scalable AI infrastructure system design (research.google)
		44 points by meetpateltech 56 days ago \| past \| 73 comments
		Toward provably private insights into AI use (research.google)
		2 points by ignoramous 60 days ago \| past \| 1 comment
		Scalable In-Context Ranking with Generative Models (research.google)
		2 points by robtherobber 61 days ago \| past
		How we are building the Fitbit personal health coach (research.google)
		3 points by ChrisArchitect 63 days ago \| past
		Google: A Verifiable Quantum Advantage (research.google)
		2 points by mgh2 67 days ago \| past \| 1 comment
		(2018) The Google Brain Team – Looking Back on 2017 (research.google)
		1 point by vinhnx 67 days ago \| past
		Google's new AI scheduler optimizes resource usage in large cloud data centers (research.google)
		2 points by rochoa 71 days ago \| past
		Using AI to identify genetic variants in tumors with DeepSomatic (research.google)
		1 point by mfld 71 days ago \| past
		More