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A common problem faced by researchers is finding and using information from scientific papers. 🔍 Gemini's capabilities mean it can accurately uncover knowledge within thousands of files including dense text & complex images. How could this help deliver breakthroughs faster? ↓

Google DeepMind

1,498,569 subscribers

248,619 просмотров • 2 лет назад •via X (Twitter)

Наука и технологии

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Teslanomous

Teslanomous2 лет назад

did it read the paper or just the abstracts - like most review article authors😒🥸

Фото профиля JBJ

JBJ2 лет назад

Can Gemini remove vocal fry? 🤞

Фото профиля Niall Treanor

Niall Treanor2 лет назад

That robot voice is very lifelike.

Фото профиля Christopher Berry

Christopher Berry2 лет назад

Can it read and digest old English common law case archives?

Фото профиля UNRAVEL FUTURE

UNRAVEL FUTURE2 лет назад

Beyond amazing !

Фото профиля reader jia

reader jia2 лет назад

In another year or two, Gemini will be able to write an entire metaanalysis paper all on its own. And it’ll be better than those written by humans.

Фото профиля AK

AK2 лет назад

This great and Impressive. Can't wait to try myself...

Фото профиля Abel TM

Abel TM2 лет назад

how come it makes some basic mistakes?

Фото профиля . RaMoNs .

. RaMoNs .2 лет назад

it's jupyter

Фото профиля Esdidimus

Esdidimus2 лет назад

Can't wait to actually use it for psychologycal research papers

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Brother Akash 🥷

15,654 просмотров • 5 месяцев назад

Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher accuracy than NotebookLM since it’s using LlamaCloud under the hood for high-quality parsing/extraction over complex docs. ✅ Generate summaries and knowledge graph mind-maps 🤯 ✅ Generate podcasts thanks to ElevenLabs 🗣️ ✅ Agentic chat with docs and view metrics with OpenTelemetry This all lives within an open-source repo so you can clone/modify at will to swap in your own components! Huge shoutout to Clelia Bertelli (🦙/acc) for leading this. Repo: LlamaCloud helps power the parsing/ingestion. You can always use your own stuff too, but in the meantime you can check out LlamaCloud here:

Introducing NotebookLlama - an open-source version of NotebookLM! 📓🦙 NotebookLlama is a full implementation of NotebookLM that includes all the capabilities that makes it so great for researchers+business users: ✅ Create a knowledge repository of documents. Has likely higher accuracy than NotebookLM since it’s using LlamaCloud under the hood for high-quality parsing/extraction over complex docs. ✅ Generate summaries and knowledge graph mind-maps 🤯 ✅ Generate podcasts thanks to ElevenLabs 🗣️ ✅ Agentic chat with docs and view metrics with OpenTelemetry This all lives within an open-source repo so you can clone/modify at will to swap in your own components! Huge shoutout to Clelia Bertelli (🦙/acc) for leading this. Repo: LlamaCloud helps power the parsing/ingestion. You can always use your own stuff too, but in the meantime you can check out LlamaCloud here:

Jerry Liu

137,793 просмотров • 1 год назад

🚨 SCIENTISTS FOUND THOUSANDS OF MYSTERIOUS VIRUSES FALLING FROM THE SKY - AND CAN’T TRACE THEIR ORIGIN An anatomy instructor at Penn State describes research documented in scientific literature. Researchers placed sterile collection containers on remote mountaintops and left them overnight. By morning, the containers contained thousands of viral particles. According to the research: • They weren’t linked to people, animals, or local ecosystems • They were carried by high altitude air currents traveling across continents • Some didn’t closely match known viruses cataloged on Earth This phenomenon has been discussed in atmospheric biology and astrobiology research, including debates about whether microbes or viruses can enter Earth’s atmosphere from space. This is not evidence of aliens, but it is evidence that biological material falls from the sky in ways science is still studying. If this is real science, why isn’t it talked about more?

🚨 SCIENTISTS FOUND THOUSANDS OF MYSTERIOUS VIRUSES FALLING FROM THE SKY - AND CAN’T TRACE THEIR ORIGIN An anatomy instructor at Penn State describes research documented in scientific literature. Researchers placed sterile collection containers on remote mountaintops and left them overnight. By morning, the containers contained thousands of viral particles. According to the research: • They weren’t linked to people, animals, or local ecosystems • They were carried by high altitude air currents traveling across continents • Some didn’t closely match known viruses cataloged on Earth This phenomenon has been discussed in atmospheric biology and astrobiology research, including debates about whether microbes or viruses can enter Earth’s atmosphere from space. This is not evidence of aliens, but it is evidence that biological material falls from the sky in ways science is still studying. If this is real science, why isn’t it talked about more?

HustleBitch

48,792 просмотров • 5 месяцев назад

New course: Document AI: From OCR to Agentic Doc Extraction, built with LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp. Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic workflows that process documents accurately: breaking them into parts, examining each piece carefully, and extracting information through multiple iterations. Traditional Optical Character Recognition (OCR) captures text but loses context from table headers, chart captions, or reading order of columns. After exploring OCR's limitations, you’ll use LandingAI's Agentic Document Extraction (ADE) framework to process documents. ADE treats pages as visually -- as images -- to parse information and extract fields. Skills you'll gain: - Build agents to convert unstructured files into structured Markdown/HTML and JSON - Use ADE to parse complex data like forms, handwriting, or equations - Map extracted information to named fields using a specified schema, with bounding boxes for grounding and validation - Deploy RAG applications with event-driven document processing Come learn about the best tools for processing documents like financial invoices, medical records, or academic papers intelligently:

New course: Document AI: From OCR to Agentic Doc Extraction, built with LandingAI, where I'm executive chairman, and taught by David Park and Andrea Kropp. Much of the world's data is locked in PDFs, JPEGs, and other documents. This short course shows you how to build agentic workflows that process documents accurately: breaking them into parts, examining each piece carefully, and extracting information through multiple iterations. Traditional Optical Character Recognition (OCR) captures text but loses context from table headers, chart captions, or reading order of columns. After exploring OCR's limitations, you’ll use LandingAI's Agentic Document Extraction (ADE) framework to process documents. ADE treats pages as visually -- as images -- to parse information and extract fields. Skills you'll gain: - Build agents to convert unstructured files into structured Markdown/HTML and JSON - Use ADE to parse complex data like forms, handwriting, or equations - Map extracted information to named fields using a specified schema, with bounding boxes for grounding and validation - Deploy RAG applications with event-driven document processing Come learn about the best tools for processing documents like financial invoices, medical records, or academic papers intelligently:

Andrew Ng

200,575 просмотров • 7 месяцев назад