Submissions from research.google

		Towards a science of scaling agent systems: When and why agent systems work (research.google)
		104 points by gmays 3 days ago \| past \| 36 comments
		When and why agent systems work (research.google)
		1 point by The_Gray 6 days ago \| past \| discuss
		Atlas: Practical scaling laws for multilingual models (research.google)
		1 point by tzury 7 days ago \| past \| discuss
		Google shows small models analyze smartphone screens to predict what users want (research.google)
		2 points by rexbee 12 days ago \| past \| discuss
		The original Google white paper (1998) (research.google)
		1 point by Hyeonjong 13 days ago \| past \| discuss
		Generative UI: A rich, custom, visual interactive user experience for any prompt (research.google)
		2 points by brandonb 14 days ago \| past
		SensorLM: Learning the Language of Wearable Sensors (research.google)
		1 point by brandonb 18 days ago \| past \| 1 comment
		Next generation medical image interpretation with MedGemma 1.5 (research.google)
		2 points by jmngomes 20 days ago \| past \| 1 comment
		Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google (research.google)
		1 point by tosh 20 days ago \| past
		Dremel: Interactive Analysis of Web-Scale Datasets (2010) (research.google)
		2 points by tosh 21 days ago \| past
		Google releases MedGemma 1.5 4B with medical image interpretation (research.google)
		4 points by MysticOracle 22 days ago \| past
		Dapper, a Large-Scale Distributed Systems Tracing Infrastructure (2010) (research.google)
		1 point by tosh 26 days ago \| past
		Google Gemini Interactive Sampler (research.google)
		1 point by AristidisG 37 days ago \| past
		Gemini provides automated feedback for theoretical computer scientists (research.google)
		2 points by reqo 51 days ago \| past
		Why Google Stores Billions of Lines of Code in a Single Repository (research.google)
		3 points by handfuloflight 55 days ago \| past
		A differentially private framework for gaining insights into AI chatbot use (research.google)
		1 point by tzury 56 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		152 points by themgt 59 days ago \| past \| 10 comments
		Google Titans architecture, helping AI have long-term memory (research.google)
		587 points by Alifatisk 59 days ago \| past \| 186 comments
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		3 points by bilsbie 60 days ago \| past
		Google research: Titans and MIRAS: Helping AI have long-term memory (research.google)
		2 points by l3x4ur1n 60 days ago \| past
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		3 points by tamnd 61 days ago \| past
		Titans and MIRAS: Helping AI have long-term memory (research.google)
		4 points by xnx 62 days ago \| past \| 1 comment
		Generative UI: A rich, custom, visual interactive user experience for any prompt (research.google)
		1 point by pramodbiligiri 69 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		1 point by wslh 72 days ago \| past
		Generative UI (research.google)
		3 points by panarky 77 days ago \| past \| 1 comment
		DS-STAR: a versatile data science agent (research.google)
		3 points by jonbaer 79 days ago \| past
		A new quantum toolkit for optimization (research.google)
		3 points by simonpure 83 days ago \| past \| 1 comment
		Nested Learning: A new ML paradigm for continual learning (research.google)
		5 points by danielmorozoff 84 days ago \| past
		DS-STAR: a versatile data science agent (Nov-2025) (research.google)
		1 point by engine_y 87 days ago \| past
		Nested Learning: A new ML paradigm for continual learning (research.google)
		4 points by gmays 87 days ago \| past \| 1 comment
		More