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NEW! The Edge browser now has a "Learning Toolkit" mode 🎓 Make it easy to find #EdgeEDU features! Just type "edge://learning" ➗ Math Solver 📌 Citations 📃 PDF reader 📖 Immersive Reader 🔊 Read Aloud More details: #edtech #MIEExpert #MicrosoftEDU

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Mike Tholfsen

65,719 subscribers

18,721 görüntüleme • 3 yıl önce •via X (Twitter)

Eğitim#EdgeEDU#edtech#MIEExpert#MicrosoftEDU
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TricksyBell❣ profil fotoğrafı
TricksyBell❣3 yıl önce

Nearly as good as edge://surf 🏄‍♀️ 🤣

Javier Boncompte G. profil fotoğrafı
Javier Boncompte G.3 yıl önce

Are there any coming improvements for ink in PDFs? Like multiple pens, styles, better settings like office, etc?

Ajay profil fotoğrafı
Ajay3 yıl önce

@MicrosoftEdge

Mike Tholfsen profil fotoğrafı
Mike Tholfsen3 yıl önce

@MrKavanagh Yup. Not sure if it has rolled to main or still in beta builds there

Benzer Videolar

Copilot can now control your browser 🔥 Microsoft has just updated Edge to make it fully agentic - Enable Copilot Mode - Turn on Actions in Edge Preview - Give the AI any goal to achieve You can either let it work in the background or watch it perform actions. And there are 3 modes available to make it more or less autonomous (light, balanced, and strict).
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Copilot can now control your browser 🔥 Microsoft has just updated Edge to make it fully agentic - Enable Copilot Mode - Turn on Actions in Edge Preview - Give the AI any goal to achieve You can either let it work in the background or watch it perform actions. And there are 3 modes available to make it more or less autonomous (light, balanced, and strict).

Paul Couvert

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Want your own custom AI helper? With upcoming updates from OptimAI, it's super simple! 🤖✨ Just type one sentence and the network does all the smart work behind the scenes: - Super-fast edge computing + private learning - Secure global storage - Real human feedback to make it better In 3 easy steps: ✅ Drop your prompt ✅ OptimAI finds/refines/trains everything ✅ Get your personal AI agent, ready to work & keep improving! Anyone can build powerful AI now The future of AI is here, and it's for everyone. 🚀
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Want your own custom AI helper? With upcoming updates from OptimAI, it's super simple! 🤖✨ Just type one sentence and the network does all the smart work behind the scenes: - Super-fast edge computing + private learning - Secure global storage - Real human feedback to make it better In 3 easy steps: ✅ Drop your prompt ✅ OptimAI finds/refines/trains everything ✅ Get your personal AI agent, ready to work & keep improving! Anyone can build powerful AI now The future of AI is here, and it's for everyone. 🚀

OptimAI Network

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TradingView to Screener & Marketsmith Extension ⚠️Please before asking in comment or DM, how to install, please read the full post, i have given the instructions also, and if you still cant follow it, You will find plenty of video on youtube on how to install the plugin, or ask AI⚠️ 🙏This was a killer timesaver tool for me, Hope it helps all, please share your feedbacks or gratitude in comments, will be sharing more plugin like this in future as well ☑️Overview This Chrome Extension natively integrates with TradingView, adding quick-access buttons to your top chart header. These buttons allow you to instantly view fundamental financial data for the currently active stock symbol on or evaluate it on MarketSmith India. > Features : > Screener New Tab: Opens the consolidated financials page for the current active TradingView symbol in a new browser tab. > Screener Splitscreen: Toggles a bottom-half split screen (iframe) inside the TradingView tab to load the page directly over your charts, letting you perform fundamental and technical analysis synchronously. > Marketsmith New Tab: Opens the stock evaluation page on MarketSmith India for the active symbol in a new tab. > This extension utilizes the Manifest V3 standard APIs and works smoothly across all modern Chromium-based browsers, including: Google Chrome Microsoft Edge Brave Browser Vivaldi Opera Arc Browser ⭐ Installation Instructions (Local/Unpacked) -> 1)Download or keep this entire extension folder on your computer. 1) Download or keep this entire extension folder on your computer: For Google Chrome: type chrome://extensions/ in the address bar. For Microsoft Edge: type edge://extensions/ in the address bar. For Brave: type brave://extensions/ in the address bar. Enable Developer mode using the toggle switch (usually located in the top-right corner). 3) Click the Load unpacked button that appears. 4) In the file explorer popup, choose this exact directory (the folder containing the manifest.json file). 5) The extension is now successfully installed! Open up TradingView to play around with the newly injected buttons in the top header. Github Repo ->
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TradingView to Screener & Marketsmith Extension ⚠️Please before asking in comment or DM, how to install, please read the full post, i have given the instructions also, and if you still cant follow it, You will find plenty of video on youtube on how to install the plugin, or ask AI⚠️ 🙏This was a killer timesaver tool for me, Hope it helps all, please share your feedbacks or gratitude in comments, will be sharing more plugin like this in future as well ☑️Overview This Chrome Extension natively integrates with TradingView, adding quick-access buttons to your top chart header. These buttons allow you to instantly view fundamental financial data for the currently active stock symbol on or evaluate it on MarketSmith India. > Features : > Screener New Tab: Opens the consolidated financials page for the current active TradingView symbol in a new browser tab. > Screener Splitscreen: Toggles a bottom-half split screen (iframe) inside the TradingView tab to load the page directly over your charts, letting you perform fundamental and technical analysis synchronously. > Marketsmith New Tab: Opens the stock evaluation page on MarketSmith India for the active symbol in a new tab. > This extension utilizes the Manifest V3 standard APIs and works smoothly across all modern Chromium-based browsers, including: Google Chrome Microsoft Edge Brave Browser Vivaldi Opera Arc Browser ⭐ Installation Instructions (Local/Unpacked) -> 1)Download or keep this entire extension folder on your computer. 1) Download or keep this entire extension folder on your computer: For Google Chrome: type chrome://extensions/ in the address bar. For Microsoft Edge: type edge://extensions/ in the address bar. For Brave: type brave://extensions/ in the address bar. Enable Developer mode using the toggle switch (usually located in the top-right corner). 3) Click the Load unpacked button that appears. 4) In the file explorer popup, choose this exact directory (the folder containing the manifest.json file). 5) The extension is now successfully installed! Open up TradingView to play around with the newly injected buttons in the top header. Github Repo ->

Roshan Kumar

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We are thrilled to introduce to you the latest version of the #SAFEMOONWALLET! Built to keep your experience on the cutting edge! 🙌 HIGHLIGHTS 🔵 dApp Browser Integration In our efforts to enhance your decentralized experience, users now have the option to utilize our dApp Browser! Seamlessly search and connect to decentralized applications without ever leaving the app. 🔵 Enhanced Navigation & Tools With streamlined access to key application features, enjoy swift navigation when searching for essential tools like the calculator, customer support, security features and more! 🔵 Built-in Web Browser Take advantage of surfing the web within the wallet and use the bookmark feature to ensure you’re always going to the right page! 🔵 Advanced Darker Mode To those who desire a more subdued interface, our new mode provides users the option to make dark mode, darker! 🔵 WalletConnect 2.0 Alignment Continued upgrades to keep pace with WalletConnect’s ever evolving tech. 🔵 Optimized Collection Viewing This performance improvement ensures you navigate your collectibles with ease and speed. 🔵 Application Refinements With our commitment to continual progression, we have implemented various other bug fixes and improvements. We hope you enjoy this update to the SafeMoon Wallet as much as we do! 🎉 INVENT | EXCITE | UNITE #SAFEMOON
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We are thrilled to introduce to you the latest version of the #SAFEMOONWALLET! Built to keep your experience on the cutting edge! 🙌 HIGHLIGHTS 🔵 dApp Browser Integration In our efforts to enhance your decentralized experience, users now have the option to utilize our dApp Browser! Seamlessly search and connect to decentralized applications without ever leaving the app. 🔵 Enhanced Navigation & Tools With streamlined access to key application features, enjoy swift navigation when searching for essential tools like the calculator, customer support, security features and more! 🔵 Built-in Web Browser Take advantage of surfing the web within the wallet and use the bookmark feature to ensure you’re always going to the right page! 🔵 Advanced Darker Mode To those who desire a more subdued interface, our new mode provides users the option to make dark mode, darker! 🔵 WalletConnect 2.0 Alignment Continued upgrades to keep pace with WalletConnect’s ever evolving tech. 🔵 Optimized Collection Viewing This performance improvement ensures you navigate your collectibles with ease and speed. 🔵 Application Refinements With our commitment to continual progression, we have implemented various other bug fixes and improvements. We hope you enjoy this update to the SafeMoon Wallet as much as we do! 🎉 INVENT | EXCITE | UNITE #SAFEMOON

SafeMoon

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Geoffrey Hinton explains the coyote test for medical AI: radiology is already over the cliff, it just has not looked down yet "If you work as a radiologist, you're like the coyote that's already over the edge of the cliff, but hasn't yet looked down" "People should stop training radiologists now. It's just completely obvious that within 5 years deep learning is going to do better than radiologists" "It might be 10 years, but we got plenty of radiologists already" "There's going to be thousands of applications of the deep learning technology we currently have, especially stuff using fast chips" "Thousands of applications and hundreds of them are going to work, and those are the ones you're going to hear about" Most healthcare AI conversations still price the bottleneck as adoption. Hinton was pointing at a different bottleneck: medicine has specialties where the machine gets more examples than any human can. The brutal part is the error bar. If it is 5 years, training pipelines are already late. If it is 10, hospitals still have to redesign the workflow before the models arrive. - Geoffrey Hinton, Nobel laureate and pioneer of deep learning, at Creative Destruction Lab
0:50

Geoffrey Hinton explains the coyote test for medical AI: radiology is already over the cliff, it just has not looked down yet "If you work as a radiologist, you're like the coyote that's already over the edge of the cliff, but hasn't yet looked down" "People should stop training radiologists now. It's just completely obvious that within 5 years deep learning is going to do better than radiologists" "It might be 10 years, but we got plenty of radiologists already" "There's going to be thousands of applications of the deep learning technology we currently have, especially stuff using fast chips" "Thousands of applications and hundreds of them are going to work, and those are the ones you're going to hear about" Most healthcare AI conversations still price the bottleneck as adoption. Hinton was pointing at a different bottleneck: medicine has specialties where the machine gets more examples than any human can. The brutal part is the error bar. If it is 5 years, training pipelines are already late. If it is 10, hospitals still have to redesign the workflow before the models arrive. - Geoffrey Hinton, Nobel laureate and pioneer of deep learning, at Creative Destruction Lab

Karl Mehta

54,575 görüntüleme • 10 gün önce

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.
1:05

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Khurram Javed

52,110 görüntüleme • 7 ay önce

Just when I thought I couldn’t hate Monarch more. Guy announces a “Zero Edge” slot on Duel and a “Zero Edge” live blackjack game. You can’t just slap zero edge on something and call it revolutionary. It’s the same type of marketing buzzword as “provably fair,” which is already a running joke in this industry. Slapping ‘zero edge’ on a game doesn’t magically make it innovative. Without real transparency around in house server seeds that can be manipulated in the house’s favor, it’s hard for players to know what they’re actually getting. Nobody should touch them with a 10 foot pole. Probably fair is mostly a scam. There are some exceptions that actually implement true provably fair but most casinos slap the label on and have no idea what it means. I can’t believe this guy used to be one of my heroes. He’s blatantly launching garbage and he knows it. His team behind the scenes is trash and he admits it, and Duel has only gone downhill ever since Ossi got perma banned on Twitter. He was the only one carrying marketing and all things Duel on his back. Right now there’s no truly superior product in this space except Stake and honestly, that’s pretty disappointing.
0:29

Just when I thought I couldn’t hate Monarch more. Guy announces a “Zero Edge” slot on Duel and a “Zero Edge” live blackjack game. You can’t just slap zero edge on something and call it revolutionary. It’s the same type of marketing buzzword as “provably fair,” which is already a running joke in this industry. Slapping ‘zero edge’ on a game doesn’t magically make it innovative. Without real transparency around in house server seeds that can be manipulated in the house’s favor, it’s hard for players to know what they’re actually getting. Nobody should touch them with a 10 foot pole. Probably fair is mostly a scam. There are some exceptions that actually implement true provably fair but most casinos slap the label on and have no idea what it means. I can’t believe this guy used to be one of my heroes. He’s blatantly launching garbage and he knows it. His team behind the scenes is trash and he admits it, and Duel has only gone downhill ever since Ossi got perma banned on Twitter. He was the only one carrying marketing and all things Duel on his back. Right now there’s no truly superior product in this space except Stake and honestly, that’s pretty disappointing.

Yogi

30,968 görüntüleme • 4 ay önce

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras
2:52

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras

IIT Madras

22,421 görüntüleme • 3 ay önce

Why You Should Write 1) Putting words on paper freezes your thoughts, which gives your mind space to think deeper about a problem. 2) Writing lets you see if the epiphany you just had is brilliant or total bogus. 3) You want to attract smart people — because smart people read, and smart & successful people read the most. 4) For whatever field you're interested in, if you write about it well, the world's experts will reach out to you. 5) The higher you climb, the more likely you are to write frequently. Every serious executive I know is a voracious reader. Or, as former American president Harry Truman once said: “Not all readers are leaders but all leaders are readers.” 6) Writing accelerates your learning. If you want to understand a topic better, start teaching it. The act of putting ideas into your own words tattoos them into your mind. James Clear once wrote: "If you think you can learn a lot by reading a book, try writing one." 7) The investor Howard Marks once said to me: "In writing, as opposed to speaking, you can't BS. You can't BS in writing because the reader can easily go back and check your work. The logic has to be established. The explanation needs to be clear." 8) It frees up processing space: Mathematicians put their ideas on the whiteboard because jotting down their ideas lets them tackle harder problems. Writing is the same. By putting ideas onto the page, you can transcend the limits of scattered thinking and tackle more challenging problems.
0:40

Why You Should Write 1) Putting words on paper freezes your thoughts, which gives your mind space to think deeper about a problem. 2) Writing lets you see if the epiphany you just had is brilliant or total bogus. 3) You want to attract smart people — because smart people read, and smart & successful people read the most. 4) For whatever field you're interested in, if you write about it well, the world's experts will reach out to you. 5) The higher you climb, the more likely you are to write frequently. Every serious executive I know is a voracious reader. Or, as former American president Harry Truman once said: “Not all readers are leaders but all leaders are readers.” 6) Writing accelerates your learning. If you want to understand a topic better, start teaching it. The act of putting ideas into your own words tattoos them into your mind. James Clear once wrote: "If you think you can learn a lot by reading a book, try writing one." 7) The investor Howard Marks once said to me: "In writing, as opposed to speaking, you can't BS. You can't BS in writing because the reader can easily go back and check your work. The logic has to be established. The explanation needs to be clear." 8) It frees up processing space: Mathematicians put their ideas on the whiteboard because jotting down their ideas lets them tackle harder problems. Writing is the same. By putting ideas onto the page, you can transcend the limits of scattered thinking and tackle more challenging problems.

David Perell

99,861 görüntüleme • 2 yıl önce

Dan Lanning shares why the best teams never stop growing. "You can't just grow in one area. It doesn't matter if you're a senior or a freshman or a coach that's been coaching 20 years - there's more to learn." "The game of football keeps changing. There's always people that are innovative. There's new adaptations. And it's the same thing in the game of life." Growth never stops. You have to make it a daily habit. The moment you think you've arrived - you've already fallen behind. "We wanna be a team that's seeking out information. Looking for opportunities to grow." "It's not growth in one field. It's growth in every field." The best teams are always learning. Always adapting. Always looking for an edge. You don't get to choose when the game changes. You only get to choose if you're ready when it does. (🎥George Wrighster Podcast )
0:49

Dan Lanning shares why the best teams never stop growing. "You can't just grow in one area. It doesn't matter if you're a senior or a freshman or a coach that's been coaching 20 years - there's more to learn." "The game of football keeps changing. There's always people that are innovative. There's new adaptations. And it's the same thing in the game of life." Growth never stops. You have to make it a daily habit. The moment you think you've arrived - you've already fallen behind. "We wanna be a team that's seeking out information. Looking for opportunities to grow." "It's not growth in one field. It's growth in every field." The best teams are always learning. Always adapting. Always looking for an edge. You don't get to choose when the game changes. You only get to choose if you're ready when it does. (🎥George Wrighster Podcast )

Coach AJ 🎯 Mental Fitness

13,174 görüntüleme • 18 gün önce

I’m really proud of the results Wayve released today. 📊 For the first time we share quantitative results of our global generalisation journey. What did we learn? 💡 Over our first 8-weeks training in the US, our AI has rapidly adapted to its unique driving environment with just 500 hours worth of incremental US-specific training data, on top of our large scale foundation model's learning. What’s more, we just launched in Germany and first results are already 3x better — generalisation just keeps improving with new data. It is clear to me the future of autonomy will be unlocked by Embodied AI capable of generalising to new countries, vehicles and able to safely navigate challenging edge cases it has never seen before during training. Now we’re excited to kick things up a gear and work with the world’s leading automotive manufacturers to collect the data necessary to validate this technology and deploy it in consumer vehicles worldwide. Embodied AI is a generational opportunity and the pace of progress I'm seeing is incredible. We're building the strongest team in AI for automated driving. If you're excited about this mission, join us!
1:10

I’m really proud of the results Wayve released today. 📊 For the first time we share quantitative results of our global generalisation journey. What did we learn? 💡 Over our first 8-weeks training in the US, our AI has rapidly adapted to its unique driving environment with just 500 hours worth of incremental US-specific training data, on top of our large scale foundation model's learning. What’s more, we just launched in Germany and first results are already 3x better — generalisation just keeps improving with new data. It is clear to me the future of autonomy will be unlocked by Embodied AI capable of generalising to new countries, vehicles and able to safely navigate challenging edge cases it has never seen before during training. Now we’re excited to kick things up a gear and work with the world’s leading automotive manufacturers to collect the data necessary to validate this technology and deploy it in consumer vehicles worldwide. Embodied AI is a generational opportunity and the pace of progress I'm seeing is incredible. We're building the strongest team in AI for automated driving. If you're excited about this mission, join us!

Alex Kendall

21,933 görüntüleme • 1 yıl önce

Excited to release a tool that makes the joy of live music creation more accessible 🎸 “Music FX DJ” is new and improved: Featuring a whole suite of new controls, sharing and remix features, and improved audio quality and diversity of outputs, to let you blend and warp genres and instruments in an ever evolving stream of music. It’s been an absolute pleasure to work with Jacob Collier over the past year on this. It was very affirming to find him pushing for the same things Google Magenta Project has always valued: making tools that intrinsically value creativity and agency over just imitation, embrace the “weird corners” of AI, encouraging veterans to express themselves in new ways, while empowering novices to express themselves musically maybe for the first time. Read details at: And in the 🧵 below…
0:56

Excited to release a tool that makes the joy of live music creation more accessible 🎸 “Music FX DJ” is new and improved: Featuring a whole suite of new controls, sharing and remix features, and improved audio quality and diversity of outputs, to let you blend and warp genres and instruments in an ever evolving stream of music. It’s been an absolute pleasure to work with Jacob Collier over the past year on this. It was very affirming to find him pushing for the same things Google Magenta Project has always valued: making tools that intrinsically value creativity and agency over just imitation, embrace the “weird corners” of AI, encouraging veterans to express themselves in new ways, while empowering novices to express themselves musically maybe for the first time. Read details at: And in the 🧵 below…

Jesse Engel

20,093 görüntüleme • 1 yıl önce

Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work ➡️ 1️⃣ Meta Sparsh is the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks. Trained on 460K+ tactile images using self-supervised learning. 2️⃣ Meta Digit 360 is a breakthrough artificial fingertip-based tactile sensor, equipped with 18+ sensing features to deliver detailed touch data with human-level precision and touch-sensing capabilities. 3️⃣ Meta Digit Plexus is a standardized platform for robotic sensor connections and interactions. It provides a hardware-software solution to integrate tactile sensors on a single robot hand and enables seamless data collection, control and analysis over a single cable. The potential impact of expanding capabilities and components like these for the open source community ranges from medical research to supply chain, manufacturing and much more. We’re excited to continue this work with the broader community.
2:35

Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work ➡️ 1️⃣ Meta Sparsh is the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors and many tasks. Trained on 460K+ tactile images using self-supervised learning. 2️⃣ Meta Digit 360 is a breakthrough artificial fingertip-based tactile sensor, equipped with 18+ sensing features to deliver detailed touch data with human-level precision and touch-sensing capabilities. 3️⃣ Meta Digit Plexus is a standardized platform for robotic sensor connections and interactions. It provides a hardware-software solution to integrate tactile sensors on a single robot hand and enables seamless data collection, control and analysis over a single cable. The potential impact of expanding capabilities and components like these for the open source community ranges from medical research to supply chain, manufacturing and much more. We’re excited to continue this work with the broader community.

AI at Meta

453,218 görüntüleme • 1 yıl önce

Our fourth free DLC for Tainted Grail: The Fall of Avalon is out now! Featuring the Challenge Mode, a brand-new way to play for those who crave an extra dose of challenge and unpredictability. As you develop your character via various gameplay systems, you also have to choose harsh debuffs that make the game a ton harder. 💪💀 If you're playing on Steam, just add the DLC to your library for free. On all other platforms, it has been introduced as a part of the base game. Alongside, patch 1.22 is live, with various fixes and all-around improvements! Watch the trailer and see our recent Steam post for more details: #taintedgrail #rpg #dlc #freedlc #update
1:36

Our fourth free DLC for Tainted Grail: The Fall of Avalon is out now! Featuring the Challenge Mode, a brand-new way to play for those who crave an extra dose of challenge and unpredictability. As you develop your character via various gameplay systems, you also have to choose harsh debuffs that make the game a ton harder. 💪💀 If you're playing on Steam, just add the DLC to your library for free. On all other platforms, it has been introduced as a part of the base game. Alongside, patch 1.22 is live, with various fixes and all-around improvements! Watch the trailer and see our recent Steam post for more details: #taintedgrail #rpg #dlc #freedlc #update

Tainted Grail

34,682 görüntüleme • 2 ay önce

We've all finished a chapter only to realize we can't remember what we just read. This points to something decades of research has confirmed: passive reading is surprisingly ineffective for learning. # The control effect Markant et al. (2014) stripped away different aspects of self-directed learning to find what actually matters. They have found that even just pressing a button when ready to see the next item—with no control over content or duration—significantly enhanced recognition memory. The researchers suggested this works because controlling when you see new information lets you coordinate stimulus presentation with your own attentional state. When you decide when to advance, your brain is better prepared to encode what comes next. # Self-pacing and strategy Tullis and Benjamin (2011) showed that self-paced learners outperformed those who studied for the same total time but couldn't control their pace. The benefit was strongest for learners who spent more time on difficult material—a "discrepancy reduction" strategy. Self-pacing isn't just about having control; it's about using it to allocate attention where it's needed. # Why agency matters DuBrow et al. (2019) found that choice are inherently rewarding. Items learned when participants could make a choice (even an inconsequential one) were remembered better, and there was a correlation between how much someone's preference increased for chosen items and how much their memory improved. Agency engages value-based brain systems that strengthen consolidation. Ding et al. (2021) extended this to incidental memory—showing that even when participants weren't trying to memorize, having control over the task improved later recognition, particularly for items processed quickly. # ChapterPal I programmed ChapterPal to implement these principles: gradual text reveal controlled by the reader, AI-generated comprehension quizzes inserted during reading, regular guess-this-blurred-term puzzles, and contextual Q&A for engaging with difficult passages. The quizzes and puzzles align with research showing that testing and guessing strengthens retention, while the self-paced reveal directly implements the minimal agency sufficient to enhance memory. # References - Tullis & Benjamin (2011). On the effectiveness of self-paced learning. Journal of Memory and Language. - Markant et al. (2014). Deconstructing the effect of self-directed study on episodic memory. Memory & Cognition. - DuBrow et al. (2019). A common mechanism underlying choice's influence on preference and memory. Psychonomic Bulletin & Review. - Ding et al. (2021). The effect of choice on intentional and incidental memory. Learning & Memory. A demo of puzzles and Q&A's on ChapterPal:
2:06

We've all finished a chapter only to realize we can't remember what we just read. This points to something decades of research has confirmed: passive reading is surprisingly ineffective for learning. # The control effect Markant et al. (2014) stripped away different aspects of self-directed learning to find what actually matters. They have found that even just pressing a button when ready to see the next item—with no control over content or duration—significantly enhanced recognition memory. The researchers suggested this works because controlling when you see new information lets you coordinate stimulus presentation with your own attentional state. When you decide when to advance, your brain is better prepared to encode what comes next. # Self-pacing and strategy Tullis and Benjamin (2011) showed that self-paced learners outperformed those who studied for the same total time but couldn't control their pace. The benefit was strongest for learners who spent more time on difficult material—a "discrepancy reduction" strategy. Self-pacing isn't just about having control; it's about using it to allocate attention where it's needed. # Why agency matters DuBrow et al. (2019) found that choice are inherently rewarding. Items learned when participants could make a choice (even an inconsequential one) were remembered better, and there was a correlation between how much someone's preference increased for chosen items and how much their memory improved. Agency engages value-based brain systems that strengthen consolidation. Ding et al. (2021) extended this to incidental memory—showing that even when participants weren't trying to memorize, having control over the task improved later recognition, particularly for items processed quickly. # ChapterPal I programmed ChapterPal to implement these principles: gradual text reveal controlled by the reader, AI-generated comprehension quizzes inserted during reading, regular guess-this-blurred-term puzzles, and contextual Q&A for engaging with difficult passages. The quizzes and puzzles align with research showing that testing and guessing strengthens retention, while the self-paced reveal directly implements the minimal agency sufficient to enhance memory. # References - Tullis & Benjamin (2011). On the effectiveness of self-paced learning. Journal of Memory and Language. - Markant et al. (2014). Deconstructing the effect of self-directed study on episodic memory. Memory & Cognition. - DuBrow et al. (2019). A common mechanism underlying choice's influence on preference and memory. Psychonomic Bulletin & Review. - Ding et al. (2021). The effect of choice on intentional and incidental memory. Learning & Memory. A demo of puzzles and Q&A's on ChapterPal:

BURKOV

39,849 görüntüleme • 6 ay önce

Mark Zuckerberg just argued that AI will force companies to hire more people. Not fewer. Three and a half billion people use Meta every day. Not one of them has a phone number to call. Mark Zuckerberg: “It’s clearly just going to automate jobs and like all these jobs are going to go away… that has not really been how the history of technology has worked.” The entire media cycle runs the same story. AI replaces workers. Industries hollow out. The human becomes unnecessary. History has never once cooperated. Voice support for 3.5 billion daily users costs between ten and twenty billion dollars a year. The math made it untouchable. So Meta never built it. AI changed the math. Zuckerberg: “Let’s say the AI can handle 90 percent of that… you’ve gotten the cost of providing that service down to one 10th.” A service that could not exist becomes standard. Overnight. The moment it goes live, the edge cases arrive. The escalations. The problems no model can close alone. Every one needs a human on the other end. Zuckerberg: “I actually think we’re probably going to go hire more customer support people.” The AI did not kill the jobs. It unlocked a service so vast the company now needs people it never would have hired. When execution costs crater, companies do not pocket the savings. They go after problems they could never afford to touch. New markets. New products. New services that were economically impossible twelve months ago. Every one creates roles that did not exist before the machine arrived. The people terrified of automation are tracking the wrong number. They count the jobs that disappear. They have no framework for the ones that haven’t been invented yet.
1:49

Mark Zuckerberg just argued that AI will force companies to hire more people. Not fewer. Three and a half billion people use Meta every day. Not one of them has a phone number to call. Mark Zuckerberg: “It’s clearly just going to automate jobs and like all these jobs are going to go away… that has not really been how the history of technology has worked.” The entire media cycle runs the same story. AI replaces workers. Industries hollow out. The human becomes unnecessary. History has never once cooperated. Voice support for 3.5 billion daily users costs between ten and twenty billion dollars a year. The math made it untouchable. So Meta never built it. AI changed the math. Zuckerberg: “Let’s say the AI can handle 90 percent of that… you’ve gotten the cost of providing that service down to one 10th.” A service that could not exist becomes standard. Overnight. The moment it goes live, the edge cases arrive. The escalations. The problems no model can close alone. Every one needs a human on the other end. Zuckerberg: “I actually think we’re probably going to go hire more customer support people.” The AI did not kill the jobs. It unlocked a service so vast the company now needs people it never would have hired. When execution costs crater, companies do not pocket the savings. They go after problems they could never afford to touch. New markets. New products. New services that were economically impossible twelve months ago. Every one creates roles that did not exist before the machine arrived. The people terrified of automation are tracking the wrong number. They count the jobs that disappear. They have no framework for the ones that haven’t been invented yet.

Dustin

369,810 görüntüleme • 3 ay önce

We’re thrilled to announce the launch of a brand-new Seven Screen's Cinemas located at Sky Hub, right opposite to Kilambakkam Bus Terminal. After years of crafting engaging, distinctive films, we now take a bold step forward—venturing into the multiplex space to bring audiences a cinema experience crafted by people who truly understand storytelling, sound, and spectacle. This next-generation multiplex brings together cutting-edge technology and immersive design to redefine the movie-going experience: For Pure Cinema Magic 🎥 5 Screens powered by 4K RGB Laser Projection for ultra-sharp visuals, deeper contrasts, and stunning color accuracy 🔊 Q-SYS Dolby Atmos sound delivering breathtaking, 360° audio that surrounds you from every angle First in India All screens are fully integrated with Q-SYS Dolby Atmos technology, enabling high-performance power amplification that delivers a truly seat-shaking, immersive cinematic experience—you don’t just watch the movie, you feel it. 🎟️ Bookings Opening Soon on District/Ticketnew — For Tomorrow! Get ready to experience cinema like never before. 📲 For updates, showtimes, and more information, follow us on: X : Instagram :
1:07

We’re thrilled to announce the launch of a brand-new Seven Screen's Cinemas located at Sky Hub, right opposite to Kilambakkam Bus Terminal. After years of crafting engaging, distinctive films, we now take a bold step forward—venturing into the multiplex space to bring audiences a cinema experience crafted by people who truly understand storytelling, sound, and spectacle. This next-generation multiplex brings together cutting-edge technology and immersive design to redefine the movie-going experience: For Pure Cinema Magic 🎥 5 Screens powered by 4K RGB Laser Projection for ultra-sharp visuals, deeper contrasts, and stunning color accuracy 🔊 Q-SYS Dolby Atmos sound delivering breathtaking, 360° audio that surrounds you from every angle First in India All screens are fully integrated with Q-SYS Dolby Atmos technology, enabling high-performance power amplification that delivers a truly seat-shaking, immersive cinematic experience—you don’t just watch the movie, you feel it. 🎟️ Bookings Opening Soon on District/Ticketnew — For Tomorrow! Get ready to experience cinema like never before. 📲 For updates, showtimes, and more information, follow us on: X : Instagram :

Seven Screen Studio

164,295 görüntüleme • 6 ay önce

⚡️📣👇Tremendously excited to share our new Cell article, where we develop TriPath, a method for analyzing 3D pathology samples using weakly supervised AI. Article: TriPath enables 3D computational pathology via 3D multiple instance learning allowing AI models to capture intricate morphological details from pathology volumes. Code: Blog post: Tested on two different imaging modalities, and patient cohorts from two institutions. Our superstar Andrew H. Song put in a monumental effort of leading the study, in a fantastic collaboration with Jonathan Liu at University of Washington . Interesting aspects: - Utilizing the whole tissue volume and leveraging 3D deep learning enable superior risk prediction performance compared to 2D deep learning baselines based on a few sampled tissue sections that emulate standard clinical practice. This indicates TriPath can harness additional information provided by 3D tissue morphology. - The performance is also superior to clinical baselines from a reader study that involved six expert pathologists. - The morphologically heterogeneous tissue volume could lead to opposing patient-level outcome predictions, dependent on which portion of the tissue volume is used. This concurs with current clinical literature warning that tissue sampling bias can lead to misdiagnosis. Some limitations: - While the 3D pathology cohort size is unprecedented, it is smaller than typical 2D pathology cohorts. Further large-scale studies will be required for validation. Nevertheless, we believe that this study will initiate a positive cycle, encouraging academic institutions and pharmaceutical companies to contribute large banks of human tissue blocks with paired clinical outcomes, thus speeding up advancements in 3D computational pathology. Concluding insights: We believe that 3D pathology is just around the corner - It has the huge potential to not only augment/improve the current clinical practice centered around 2D examination of human tissue, but also help reveal novel biomarkers for prognosis and therapeutic response.. Harvard Medical School Harvard Data Science Initiative Mass General Brigham Broad Institute
4:23

⚡️📣👇Tremendously excited to share our new Cell article, where we develop TriPath, a method for analyzing 3D pathology samples using weakly supervised AI. Article: TriPath enables 3D computational pathology via 3D multiple instance learning allowing AI models to capture intricate morphological details from pathology volumes. Code: Blog post: Tested on two different imaging modalities, and patient cohorts from two institutions. Our superstar Andrew H. Song put in a monumental effort of leading the study, in a fantastic collaboration with Jonathan Liu at University of Washington . Interesting aspects: - Utilizing the whole tissue volume and leveraging 3D deep learning enable superior risk prediction performance compared to 2D deep learning baselines based on a few sampled tissue sections that emulate standard clinical practice. This indicates TriPath can harness additional information provided by 3D tissue morphology. - The performance is also superior to clinical baselines from a reader study that involved six expert pathologists. - The morphologically heterogeneous tissue volume could lead to opposing patient-level outcome predictions, dependent on which portion of the tissue volume is used. This concurs with current clinical literature warning that tissue sampling bias can lead to misdiagnosis. Some limitations: - While the 3D pathology cohort size is unprecedented, it is smaller than typical 2D pathology cohorts. Further large-scale studies will be required for validation. Nevertheless, we believe that this study will initiate a positive cycle, encouraging academic institutions and pharmaceutical companies to contribute large banks of human tissue blocks with paired clinical outcomes, thus speeding up advancements in 3D computational pathology. Concluding insights: We believe that 3D pathology is just around the corner - It has the huge potential to not only augment/improve the current clinical practice centered around 2D examination of human tissue, but also help reveal novel biomarkers for prognosis and therapeutic response.. Harvard Medical School Harvard Data Science Initiative Mass General Brigham Broad Institute

Faisal Mahmood

65,520 görüntüleme • 2 yıl önce

Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)
3:35

Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)

Memex.Garden

19,942 görüntüleme • 2 yıl önce