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Introducing LinkedIn for researchers 🚀 LinkedIn optimizes for engagement bait. What about actual research? We aggregated papers, affiliations, experiences, and coauthors to create the most comprehensive profile for every AI researcher You can now ask questions like “Who’s working on automated math discovery at DeepMind?” or "Which researchers are... show more

alphaXiv

57,364 subscribers

36,396 görüntüleme • 2 ay önce •via X (Twitter)

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alphaXiv profil fotoğrafı

alphaXiv2 ay önce

Claim yours at

Yuvraj Singh profil fotoğrafı

Yuvraj Singh2 ay önce

Great for students who are looking for collaborations with profs !

John F. Wu profil fotoğrafı

John F. Wu2 ay önce

Love to see that you've got (astro)physicists too! Thanks for making it easy claim my profile.

Sai profil fotoğrafı

Sai2 ay önce

No way — this was a much-needed effort in this space.

Inflectiv AI ⧉ profil fotoğrafı

Inflectiv AI ⧉2 ay önce

Good job, team

JJ profil fotoğrafı

JJ2 ay önce

@JayAlammar 😬 This will be gamed intensely.

ReLUminati profil fotoğrafı

ReLUminati2 ay önce

Really needed for freshers to connect with professors.

AI Apps API profil fotoğrafı

AI Apps API2 ay önce

The coauthor graph is what makes this work. Name disambiguation breaks every researcher directory, and coauthorship is about the only signal that reliably separates two people with the same name in the same field. Curious how you handle affiliation drift, that data goes stale faster than the papers do.

Ali Hashemian profil fotoğrafı

Ali Hashemian2 ay önce

But ResearchGate already exists

Noam profil fotoğrafı

Noam2 ay önce

Mines not there yet 🥲

Adel Bucetta profil fotoğrafı

Adel Bucetta2 ay önce

linkedin's problem isn't that it's social media, it's that it doesn't help researchers work together on actual projects yet

The World Model Report profil fotoğrafı

The World Model Report1 ay önce

The coauthor graph is the real asset here. Talent flow between video-gen and robotics labs is the best leading indicator of where world models are headed, and nobody tracks it well. Search is the demo; the graph is the product.

安叫兽|Bird🕊️ 🔶 BNB profil fotoğrafı

安叫兽|Bird🕊️ 🔶 BNB2 ay önce

这下查研究方向和找合作者都省事多了

Abhinav Joshi profil fotoğrafı

Abhinav Joshi2 ay önce

This is much needed. Search feature is fabulous.

Scott H. Hawley profil fotoğrafı

Scott H. Hawley2 ay önce

Missing: "Sign in with ORCID", "Sign in with GitHub".

Chakradhari shiva profil fotoğrafı

Chakradhari shiva2 ay önce

This is amazing!

Mustavi Khan profil fotoğrafı

Mustavi Khan2 ay önce

Will this be available via mcp?

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PhD Students – How to identify top researchers in your research area? First, why it is important to know top researchers in your research area. 1️⃣ Help you identify top papers 2️⃣ Help you to collaborate with top researchers 3️⃣ Help you to learn from their work 4️⃣ Help you find your research ideals 🎯 Use Bohrium to identify the top researchers. 👉 Here is how it works? 1. Go to and log in. 2. From the left side menu, click Scholars. 3. In the search box, enter your research area. 4. For example, I entered cloud computing. 5. Bohrium will display the ranked list of top researchers. 6. This list is based on the number of citations for the researcher. 7. Then, click on the researcher’s name. 8. It will display the entire profile of the researcher. 9. This profile contains the work history of the researcher. 10. It contains the research areas of the researcher. 11. You will see the number of papers and citations. 12. You can sort the papers based on the latest/most cited. 13. You will also see the co-authors of the researcher. Once explored, you can go back and explore another researcher. This way you will know the top researchers in your research area. Bohrium has a large database of 20 million active scholars 🎗️Try Bohrium to find top researchers Bohrium Link: ❄️ Anything you'd like to add?

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Most researchers waste 70% of time on these 3 things ➝ Identifying the right set of research papers ➝ Extracting relevant data from those papers ➝ Comparing those research papers Now you can do all these things in seconds. 1. Go to 2. Click on 𝐺𝑒𝑡 𝑆𝑡𝑎𝑟𝑡𝑒𝑑 and then on 𝑁𝑒𝑤 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 3. Now click on 𝐴𝐼 𝑆𝑒𝑎𝑟𝑐ℎ 4. Enter your research topic or question 5. moara will identify the papers for you. 6. Add relevant papers to the library 7. Now to extract from these papers, click 𝐸𝑛𝑟𝑖𝑐ℎ𝑚𝑒𝑛𝑡𝑠 8. Then click on 𝐶𝑢𝑠𝑡𝑜𝑚 𝐸𝑛𝑟𝑖𝑐ℎ𝑚𝑒𝑛𝑡𝑠 9. Describe what you want to extract e.g., datasets 10. 𝐦𝐨𝐚𝐫𝐚 will extract and add this as new column 11. Finally, to compare papers, click on 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 𝐶ℎ𝑎𝑡 12. Enter what you want to compare e.g., datasets 13. moara will compare papers with respect to dataset With these features, you can 10x your research experience. Try 𝐦𝐨𝐚𝐫𝐚 today

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Researchers spend 2 hours daily just scanning papers. What if you can directly find the exact papers you need? Imagine you are working on a research project. ↳ You can go Google Scholar ↳ You hit a search query ↳ Google Scholar return 2000+ papers ↳ You keep opening new papers in new tabs ↳ The scanning process goes on ↳ After an hour, you are still not sure ➤ Which papers are relevant? This is the problem faced by almost all researchers. 🎁 The good news? Meet WisPaper - the perfect paper finder. This tool deploys AI agents to find the exact papers, 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 𝐰𝐨𝐫𝐤𝐬 1. Go to 2. Enter your search query 3. For example, I entered the following 𝐹𝑖𝑛𝑑 𝑝𝑎𝑝𝑒𝑟𝑠 𝑜𝑛 𝑣𝑢𝑙𝑛𝑒𝑟𝑎𝑏𝑖𝑙𝑖𝑡𝑖𝑒𝑠 𝑖𝑛 𝑏𝑖𝑔 𝑑𝑎𝑡𝑎 𝑠𝑦𝑠𝑡𝑒𝑚𝑠 4. 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 will start the search process. 5. The search process is broken down into 3 steps. ✓ Analysing questions ✓ Validating criteria ✓ Searching and validating 6. After completion, you will see a list of papers. 7. You can add papers to your library 8. If you need specific search, you can add criteria. In addition to searching, 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 also helps in: ➝ Organizing papers in the form of a library ➝ Send you alerts about papers relevant to you 🎗️ Try 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 today for free:

Researchers spend 2 hours daily just scanning papers. What if you can directly find the exact papers you need? Imagine you are working on a research project. ↳ You can go Google Scholar ↳ You hit a search query ↳ Google Scholar return 2000+ papers ↳ You keep opening new papers in new tabs ↳ The scanning process goes on ↳ After an hour, you are still not sure ➤ Which papers are relevant? This is the problem faced by almost all researchers. 🎁 The good news? Meet WisPaper - the perfect paper finder. This tool deploys AI agents to find the exact papers, 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 𝐰𝐨𝐫𝐤𝐬 1. Go to 2. Enter your search query 3. For example, I entered the following 𝐹𝑖𝑛𝑑 𝑝𝑎𝑝𝑒𝑟𝑠 𝑜𝑛 𝑣𝑢𝑙𝑛𝑒𝑟𝑎𝑏𝑖𝑙𝑖𝑡𝑖𝑒𝑠 𝑖𝑛 𝑏𝑖𝑔 𝑑𝑎𝑡𝑎 𝑠𝑦𝑠𝑡𝑒𝑚𝑠 4. 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 will start the search process. 5. The search process is broken down into 3 steps. ✓ Analysing questions ✓ Validating criteria ✓ Searching and validating 6. After completion, you will see a list of papers. 7. You can add papers to your library 8. If you need specific search, you can add criteria. In addition to searching, 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 also helps in: ➝ Organizing papers in the form of a library ➝ Send you alerts about papers relevant to you 🎗️ Try 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 today for free:

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Introducing Silvia, your new personal CFO. We built this product for me and now we are opening it up for everyone else. The product uses AI models to track your net worth, analyze your portfolio, answer any questions you have about your finances, and make suggestions on how you can improve. You can text, email, or call the CFO too which is really cool. The video below has a live demo of the product. Silvia currently has more than $1.1 billion of assets connected to the platform from every major financial institution. Sign up now:

Anthony Pompliano 🌪

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PhD Students – How to easily understand a complex research topic? Meet Ponder – a tool for understanding complex research. 𝐇𝐨𝐰 𝐏𝐨𝐧𝐝𝐞𝐫 𝐰𝐨𝐫𝐤𝐬? 1. Go to and log in 2. Enter your research topic or research question 3. Ponder will start building a knowledge map 4. This knowledge map breaks down complex ideas into structured cards 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐝𝐨 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐜𝐚𝐫𝐝𝐬? → You can add your own thoughts, questions, and insights. → Ask follow-up questions and deepen your exploration. → You can color the cards for better understanding → You can drag & organize them freely across the infinite canvas. 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐝𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐚𝐫𝐝𝐬? — You can search for relevant papers with built-in discovery. — Ponder will identify all relevant papers — You can then add or upload research papers — You can also attach papers to specific cards. 𝐀𝐟𝐭𝐞𝐫 𝐲𝐨𝐮𝐫 𝐩𝐨𝐧𝐝𝐞𝐫𝐢𝐧𝐠 𝐢𝐬 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝: ➟ You can change the view to document, browser, or full screen. ➟ You can also download your knowledge map as a PDF ➟ You can ask further questions and refine with Ponder’s Agent. 𝐖𝐡𝐚𝐭 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐡𝐢𝐬 𝐰𝐚𝐲 𝐢𝐬 𝟏𝟎𝐱 𝐛𝐞𝐭𝐭𝐞𝐫? ↳ It brings discovery and analysis of research into one workspace ↳ It makes ideas branch and evolve naturally, just like your brain ↳ It helps you to easily identify research gaps ↳ It connects knowledge from all sources such as papers and web ↳ It enables you to export knowledge as maps, reports, or data. ↳ Designed for PhD students & researchers, who think deeply. Try Ponder here: Anything you'd like to add?

PhD Students – How to easily understand a complex research topic? Meet Ponder – a tool for understanding complex research. 𝐇𝐨𝐰 𝐏𝐨𝐧𝐝𝐞𝐫 𝐰𝐨𝐫𝐤𝐬? 1. Go to and log in 2. Enter your research topic or research question 3. Ponder will start building a knowledge map 4. This knowledge map breaks down complex ideas into structured cards 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐝𝐨 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐜𝐚𝐫𝐝𝐬? → You can add your own thoughts, questions, and insights. → Ask follow-up questions and deepen your exploration. → You can color the cards for better understanding → You can drag & organize them freely across the infinite canvas. 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐝𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐚𝐩𝐞𝐫𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐚𝐫𝐝𝐬? — You can search for relevant papers with built-in discovery. — Ponder will identify all relevant papers — You can then add or upload research papers — You can also attach papers to specific cards. 𝐀𝐟𝐭𝐞𝐫 𝐲𝐨𝐮𝐫 𝐩𝐨𝐧𝐝𝐞𝐫𝐢𝐧𝐠 𝐢𝐬 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝: ➟ You can change the view to document, browser, or full screen. ➟ You can also download your knowledge map as a PDF ➟ You can ask further questions and refine with Ponder’s Agent. 𝐖𝐡𝐚𝐭 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐡𝐢𝐬 𝐰𝐚𝐲 𝐢𝐬 𝟏𝟎𝐱 𝐛𝐞𝐭𝐭𝐞𝐫? ↳ It brings discovery and analysis of research into one workspace ↳ It makes ideas branch and evolve naturally, just like your brain ↳ It helps you to easily identify research gaps ↳ It connects knowledge from all sources such as papers and web ↳ It enables you to export knowledge as maps, reports, or data. ↳ Designed for PhD students & researchers, who think deeply. Try Ponder here: Anything you'd like to add?

Faheem Ullah

12,212 görüntüleme • 1 yıl önce

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Your AI can now publish all your social media posts. Introducing the Social0 MCP Server. Connect Claude, Cursor, OpenClaw, Hermes, or any MCP - compatible AI assistant and simply ask: Would love your feedback ❤️ Resources down below👇 Example usecases : • "Publish this post to LinkedIn." • "Schedule this thread for tomorrow at 9 AM." • "Show my scheduled posts." No dashboard required. Just natural language.

Abhishek

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After 2.5 months in beta, and over 1000 organic users, and a small discord community, I am finally annoucing the launch of The Open Binary Project The Free and Opensource collaborative security research and reverse engineering platform. Weather you're into malware analysis, or vulnerability research, you can now create and access your projects anywhere completely for free, share projects with friends and fellow researchers, and publish your analysis reports or vulnerability research publicly with the community! You can also peer review publicly posted research, fork and make your own revisions, and build your public profile, all with fully build in LLM access to get AI assistance with your work in openbin. This platform was build to address the gap in the security research community where we did not have a collaborative space to work on things together like how developers have github, and github would probably ban you anyways, we don't! Join us today, a growing ecosystem of enthusiastic, passionate, and collaborative security researchers, completely for free!

BytecodeAssassin (Husam)

27,975 görüntüleme • 1 ay önce

Senior Researcher Google DeepMind and Co-Author of Europe 2031 Michiel Bakker on Europe's next steps in the AI Race: "Ursula von der Leyen should be on the phone with the ASML CEO every week and just ask, "What can we do for you? Like, how can we help you?". "We should do the basics... making sure we have more energy and compute available." "We have, for example, a very strong semiconductor ecosystem in Europe. How can we build that out?".

Senior Researcher Google DeepMind and Co-Author of Europe 2031 Michiel Bakker on Europe's next steps in the AI Race: "Ursula von der Leyen should be on the phone with the ASML CEO every week and just ask, "What can we do for you? Like, how can we help you?". "We should do the basics... making sure we have more energy and compute available." "We have, for example, a very strong semiconductor ecosystem in Europe. How can we build that out?".

etn.

19,505 görüntüleme • 3 ay önce

I built a tool to imagine how AI can help us create better, more transparent research. Instead of only seeing the tiny number of analyses the author chooses to ossify in a static pdf, imagine being able to talk to the papers you read and ask for different analyses. That's what I built. This early prototype uses our vote-by-mail extension. You get to see the initial analyses we thought made sense, but you can ask the LLM to show you way more! e.g., "what would the results look like if we excluded Utah" or "what would the results look like if we excluded Washington and used linear trends" etc. With research agents like Claude code, researchers are going to be able to automatically search across millions of potential analyses. Our current paradigm is not equipped to transmit this complexity effectively or make sure we don't end up with all p-hacked results. My lab and I are thinking about how we can transform the way we do and disseminate research to adjust for this new world. This visualizer is the first of what will hopefully be a wide range of ideas. Big props to Janet Malzahn for suggesting this one. Check out the tool at the link below.

I built a tool to imagine how AI can help us create better, more transparent research. Instead of only seeing the tiny number of analyses the author chooses to ossify in a static pdf, imagine being able to talk to the papers you read and ask for different analyses. That's what I built. This early prototype uses our vote-by-mail extension. You get to see the initial analyses we thought made sense, but you can ask the LLM to show you way more! e.g., "what would the results look like if we excluded Utah" or "what would the results look like if we excluded Washington and used linear trends" etc. With research agents like Claude code, researchers are going to be able to automatically search across millions of potential analyses. Our current paradigm is not equipped to transmit this complexity effectively or make sure we don't end up with all p-hacked results. My lab and I are thinking about how we can transform the way we do and disseminate research to adjust for this new world. This visualizer is the first of what will hopefully be a wide range of ideas. Big props to Janet Malzahn for suggesting this one. Check out the tool at the link below.

Andy Hall

70,844 görüntüleme • 8 ay önce

PhD Students – How about Google Maps but for researchers? Meet 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩 – Google Maps for researchers 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩 𝐰𝐨𝐫𝐤𝐬. 1. Go to 2. Enter your research topic e.g., AI for healthcare 3. Oall will generate a map of sub-topics 4. Click on any sub-topic, it will open sub-sub-topics 5. Click on a sub-sub-topic to see a list of papers 6. The papers are divided into New and All Time 7. You will see a description & ranking of the papers 8. You can also request for a paper evaluation 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐚𝐛𝐨𝐮𝐭 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩? ↳ It organizes research into a browsable map of science ↳ On this map, research areas unfold like regions. ↳ Results are positioned according to evidence ↳ You explore a field much like navigating a map 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐚𝐢𝐧 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 𝐨𝐟 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩? What I find most useful about this perspective is simple: Before starting experiments, you can first see the structure of the field. In some sense, it feels a bit like: Google Maps for science. This “map view” offers a clearer way to see how knowledge fits together Try O-DataMap today for FREE:

PhD Students – How about Google Maps but for researchers? Meet 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩 – Google Maps for researchers 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩 𝐰𝐨𝐫𝐤𝐬. 1. Go to 2. Enter your research topic e.g., AI for healthcare 3. Oall will generate a map of sub-topics 4. Click on any sub-topic, it will open sub-sub-topics 5. Click on a sub-sub-topic to see a list of papers 6. The papers are divided into New and All Time 7. You will see a description & ranking of the papers 8. You can also request for a paper evaluation 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐚𝐛𝐨𝐮𝐭 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩? ↳ It organizes research into a browsable map of science ↳ On this map, research areas unfold like regions. ↳ Results are positioned according to evidence ↳ You explore a field much like navigating a map 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐚𝐢𝐧 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 𝐨𝐟 𝐎-𝐃𝐚𝐭𝐚𝐌𝐚𝐩? What I find most useful about this perspective is simple: Before starting experiments, you can first see the structure of the field. In some sense, it feels a bit like: Google Maps for science. This “map view” offers a clearer way to see how knowledge fits together Try O-DataMap today for FREE:

Faheem Ullah

15,508 görüntüleme • 7 ay önce

Nimit Sohoni ( Nimit Sohoni ) is an ex-Citadel quant and AI researcher at Cartesia with a PhD from Stanford. I interviewed him to break down what both those careers paths are like. We discussed: • How SWEs can transition into AI research or quant roles • Comparing and contrasting tech vs finance experiences • What his current AI research work at Cartesia is like • If a PhD is necessary for either of these career paths • How to learn more about AI research and find papers • Developing good research taste • Finance work culture, NDAs, what the work is like Where to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Nimit Sohoni ( Nimit Sohoni ) is an ex-Citadel quant and AI researcher at Cartesia with a PhD from Stanford. I interviewed him to break down what both those careers paths are like. We discussed: • How SWEs can transition into AI research or quant roles • Comparing and contrasting tech vs finance experiences • What his current AI research work at Cartesia is like • If a PhD is necessary for either of these career paths • How to learn more about AI research and find papers • Developing good research taste • Finance work culture, NDAs, what the work is like Where to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

125,734 görüntüleme • 8 ay önce

HHS Sec. Robert F. Kennedy Jr Urges Mothers to Do Their Own Research on 💉 “For somebody to tell you you should not ask questions about a major medical intervention that is designed to permanently alter your immune system for the rest of your life, and for which there's no safety testing effectively, and for which there's been no testing at all to look at the vaccines in combination — those are things that I advise everybody to do their own research on.”

HHS Sec. Robert F. Kennedy Jr Urges Mothers to Do Their Own Research on 💉 “For somebody to tell you you should not ask questions about a major medical intervention that is designed to permanently alter your immune system for the rest of your life, and for which there's no safety testing effectively, and for which there's been no testing at all to look at the vaccines in combination — those are things that I advise everybody to do their own research on.”

Chief Nerd

45,224 görüntüleme • 9 ay önce

Manish Gupta, Senior Director at Google DeepMind India, sits down with Aakrit Vaish and Pratyush Choudhury at Mumbai Tech Week for a rare on-record conversation about the frontier AI research happening out of Bangalore. Gupta makes a pointed case against the narrative that India lacks AI research talent: a team of roughly 75 researchers, a third of them fresh out of college, producing work on par with the best in the world and feeding directly into Gemini. The conversation goes deep on what DeepMind India actually builds, why Gemini is considered the most efficient model on the planet, and what India needs to become a research leader rather than a fast follower. In this conversation, they go deep on: 0:00 Intro: Manish Gupta of DeepMind India at Mumbai Tech Week 1:23 What DeepMind India does, and why it's a "mystery" 1:59 The three roles: languages, efficiency, continual learning 2:19 The Haryanvi demo at Google I/O and the cultural playbook 2:38 Making models efficient: from mobile to servers 3:25 Matryoshka transformers and why nested models win 4:20 Why Gemini is the most efficient model on the planet 5:11 Continual learning: using Gemini to improve Gemini 5:50 Google's India plans: consumers, agents, enterprise, government 7:44 Government officials live-coding with AI Studio and NotebookLM 8:30 The India AI talent debate and how the team is structured 10:25 Why India lacks courage and R&D investment, not talent 11:16 DeepMind's global labs and India's outsized impact 13:15 On-device AI: Gemma 3n and 4n 14:08 The headline: 75 world-class researchers in Bangalore 14:58 25 of the 75 are fresh out of college If you're a founder, builder or researcher thinking about AI, frontier models, or India's place in global AI research, this one's for you. Aakrit Vaish Pratyush Choudhury (PC) Google DeepMind Google India Manish Gupta

Manish Gupta, Senior Director at Google DeepMind India, sits down with Aakrit Vaish and Pratyush Choudhury at Mumbai Tech Week for a rare on-record conversation about the frontier AI research happening out of Bangalore. Gupta makes a pointed case against the narrative that India lacks AI research talent: a team of roughly 75 researchers, a third of them fresh out of college, producing work on par with the best in the world and feeding directly into Gemini. The conversation goes deep on what DeepMind India actually builds, why Gemini is considered the most efficient model on the planet, and what India needs to become a research leader rather than a fast follower. In this conversation, they go deep on: 0:00 Intro: Manish Gupta of DeepMind India at Mumbai Tech Week 1:23 What DeepMind India does, and why it's a "mystery" 1:59 The three roles: languages, efficiency, continual learning 2:19 The Haryanvi demo at Google I/O and the cultural playbook 2:38 Making models efficient: from mobile to servers 3:25 Matryoshka transformers and why nested models win 4:20 Why Gemini is the most efficient model on the planet 5:11 Continual learning: using Gemini to improve Gemini 5:50 Google's India plans: consumers, agents, enterprise, government 7:44 Government officials live-coding with AI Studio and NotebookLM 8:30 The India AI talent debate and how the team is structured 10:25 Why India lacks courage and R&D investment, not talent 11:16 DeepMind's global labs and India's outsized impact 13:15 On-device AI: Gemma 3n and 4n 14:08 The headline: 75 world-class researchers in Bangalore 14:58 25 of the 75 are fresh out of college If you're a founder, builder or researcher thinking about AI, frontier models, or India's place in global AI research, this one's for you. Aakrit Vaish Pratyush Choudhury (PC) Google DeepMind Google India Manish Gupta

Activate

14,371 görüntüleme • 4 ay önce

BREAKING: Palo Alto Networks CEO Nikesh Arora (Nikesh Arora) says there’s massive alpha on LinkedIn & nobody else is paying attention to it: "Our general counsel I hired off of LinkedIn. I had a dinner last night with somebody who I found on LinkedIn because I think he'd be great for our company." "It's a great place to find people. You get to look at everything they say and see if they're intelligent or not." "They're not interviewing when they're posting on LinkedIn. So if I can read what people have written over the last 40 years on LinkedIn, I can tell you who they are without having to ask them." "I bring them in the room for half an hour.. if you can't fool me for half an hour, then you shouldn't come work here anyway."

BREAKING: Palo Alto Networks CEO Nikesh Arora (Nikesh Arora) says there’s massive alpha on LinkedIn & nobody else is paying attention to it: "Our general counsel I hired off of LinkedIn. I had a dinner last night with somebody who I found on LinkedIn because I think he'd be great for our company." "It's a great place to find people. You get to look at everything they say and see if they're intelligent or not." "They're not interviewing when they're posting on LinkedIn. So if I can read what people have written over the last 40 years on LinkedIn, I can tell you who they are without having to ask them." "I bring them in the room for half an hour.. if you can't fool me for half an hour, then you shouldn't come work here anyway."

Molly O’Shea

375,724 görüntüleme • 1 ay önce

What happens when researchers and AI builders come together? Last week, in collaboration with the UM6P Chair of Transitions, 1337 welcomed Pr. Sacha Raoult for two sessions at our Rabat and Ben Guerir campuses, bringing together students, PhD candidates, researchers, and faculty from across UM6P - University Mohammed VI Polytechnic . Together, we explored how AI is reshaping scientific research and discovered innovative platforms driving this transformation. These sessions are part of a broader collaboration, with 1337 and Sacha’s team working together on several AI and research projects. In this video, Sacha shares his experience collaborating with 1337. #1337School #UM6P #AI #Research #Innovation #FutureScience

What happens when researchers and AI builders come together? Last week, in collaboration with the UM6P Chair of Transitions, 1337 welcomed Pr. Sacha Raoult for two sessions at our Rabat and Ben Guerir campuses, bringing together students, PhD candidates, researchers, and faculty from across UM6P - University Mohammed VI Polytechnic . Together, we explored how AI is reshaping scientific research and discovered innovative platforms driving this transformation. These sessions are part of a broader collaboration, with 1337 and Sacha’s team working together on several AI and research projects. In this video, Sacha shares his experience collaborating with 1337. #1337School #UM6P #AI #Research #Innovation #FutureScience

1337 School

19,110 görüntüleme • 3 ay önce