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New scan sample, old wooden container scanned using our advanced robotic scanner developed at INVOLV3D and inciprocal software for PBR material processing. You can literally smell this wood! #3dscanning #pbr #b3d

McGavish

3,377 subscribers

12,902 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Образование Искусство #3dscanning #pbr #b3d

Anya Rossi• Live Now

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We can 3D scan even the hardest objects - dark, low-contrast, and nearly featureless surfaces are no longer a challenge - all with full PBR material stack. Need this level of precision for your production? Let me know! #photogrammetry #photometry

We can 3D scan even the hardest objects - dark, low-contrast, and nearly featureless surfaces are no longer a challenge - all with full PBR material stack. Need this level of precision for your production? Let me know! #photogrammetry #photometry

McGavish

45,121 просмотров • 1 год назад

Another challenging hard surface scan completed! Photogrammetry often struggles with pixel-perfect alignment on these kinds of objects, but we’ve developed methods to make it work. Still, always room for improvement! #photogrammetry #b3d #3dscanning

Another challenging hard surface scan completed! Photogrammetry often struggles with pixel-perfect alignment on these kinds of objects, but we’ve developed methods to make it work. Still, always room for improvement! #photogrammetry #b3d #3dscanning

McGavish

49,940 просмотров • 1 год назад

👀 A sneak peek into our latest research Automatic #PBR texturing using: Image-To-Material An AI model coming soon📅 Full PBR predictions from any uploaded photogrammetry scan in ~10 seconds🚀 This research will enable accurate PBR textures for generated meshes in the near future 👋Find us at #SIGGRAPH2025 to learn more! Thanks to Wallace Wainhouse for the scan RealityScan 🧵Follow this thread for more results, over the next few days

👀 A sneak peek into our latest research Automatic #PBR texturing using: Image-To-Material An AI model coming soon📅 Full PBR predictions from any uploaded photogrammetry scan in ~10 seconds🚀 This research will enable accurate PBR textures for generated meshes in the near future 👋Find us at #SIGGRAPH2025 to learn more! Thanks to Wallace Wainhouse for the scan RealityScan 🧵Follow this thread for more results, over the next few days

M-XR

20,304 просмотров • 1 год назад

Scanning large surface with PBR maps? No problem! Still polishing the methodologies and approach but initial tests are very promising. Here is a 130 x 50 cm tabletop, tricky reflective surface especially if we are aiming for smooth reconstruction.

Scanning large surface with PBR maps? No problem! Still polishing the methodologies and approach but initial tests are very promising. Here is a 130 x 50 cm tabletop, tricky reflective surface especially if we are aiming for smooth reconstruction.

McGavish

18,326 просмотров • 1 год назад

That's a hammer time again - just another prop from recent random scans - full PBR stack, automated capture, zero manual cleanup - just plug & play in your engine. We provide top quality 3D scanning services for games, film, fashion, and e-commerce.

That's a hammer time again - just another prop from recent random scans - full PBR stack, automated capture, zero manual cleanup - just plug & play in your engine. We provide top quality 3D scanning services for games, film, fashion, and e-commerce.

McGavish

19,057 просмотров • 1 год назад

ASIC Mining Container Delivery 🚚 💰Valued at over $40,000 ⚡️Capacity: 150 BITMAIN L9s 🇬🇧 We’re excited to announce that the first of many new ASIC mining containers has arrived at our UK facility! This container is fully equipped with PDUs, advanced networking infrastructure, and optimised air cooling technology. 🦾 This strengthens our existing infrastructure even further, boosting our hosting capacity, increasing scalability for future growth and providing greater mining power to fortify $HASHAI. 👀 We will be sharing more updates with you soon, as we begin filling this container full of ASIC miners in preparation for our tokenised #RWAs.

ASIC Mining Container Delivery 🚚 💰Valued at over $40,000 ⚡️Capacity: 150 BITMAIN L9s 🇬🇧 We’re excited to announce that the first of many new ASIC mining containers has arrived at our UK facility! This container is fully equipped with PDUs, advanced networking infrastructure, and optimised air cooling technology. 🦾 This strengthens our existing infrastructure even further, boosting our hosting capacity, increasing scalability for future growth and providing greater mining power to fortify $HASHAI. 👀 We will be sharing more updates with you soon, as we begin filling this container full of ASIC miners in preparation for our tokenised #RWAs.

Hash AI

37,153 просмотров • 1 год назад

How to generate 3D miniature city models and animate them using Kling AI? This visual effect can be created with Kling O1, and then rotated in 3D using Image to Video. The image prompt used for generation is as follows: Present a clear, 45° top-down isometric miniature 3D cartoon scene of New York featuring its most iconic landmarks and architectural elements. Use soft, refined textures with realistic PBR materials and gentle, lifelike lighting and shadows. Integrate the current weather conditions directly into the city environment to create an immersive atmospheric mood.Use a clean, minimalistic composition with a soft, solid-colored background. At the top-center, place the title "New York" in large bold text in white. You can create different effects by changing the city name according to your needs.

How to generate 3D miniature city models and animate them using Kling AI? This visual effect can be created with Kling O1, and then rotated in 3D using Image to Video. The image prompt used for generation is as follows: Present a clear, 45° top-down isometric miniature 3D cartoon scene of New York featuring its most iconic landmarks and architectural elements. Use soft, refined textures with realistic PBR materials and gentle, lifelike lighting and shadows. Integrate the current weather conditions directly into the city environment to create an immersive atmospheric mood.Use a clean, minimalistic composition with a soft, solid-colored background. At the top-center, place the title "New York" in large bold text in white. You can create different effects by changing the city name according to your needs.

Kling AI

34,303 просмотров • 8 месяцев назад

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works: 1. AI Threat Defense uses our cybersecurity platform Wiz to scan and prioritize what applications and systems have the highest security risk. 2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities. 3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities. 4. And our Wiz autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked. While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.

Thomas Kurian

197,941 просмотров • 2 месяцев назад

Transport for London has just announced a trial for advanced, high-tech “stealth” speed cameras across the capital, and several West London boroughs are officially on the list. Unlike the old yellow boxes, these new cameras do NOT flash and do not require white lines painted on the road. Using advanced 4D imaging radar, a single camera can monitor speed, distance, elevation, and direction across five lanes of bi-directional traffic all at once. The trial is specifically targeting 20mph and 30mph zones across nine London boroughs: 📍 Ealing 📍 Brent 📍 Hammersmith & Fulham 📍 Haringey 📍 Tower Hamlets 📍 Havering 📍 Croydon 📍 Hackney 📍 Sutton TfL states this upgrade is “vital” for consistent enforcement and reducing road casualties. However, the Institute of Advanced Motorists (IAM) pointed out that since average speeds in London are already below 20mph, the focus should instead be on catching drivers illegally using their mobile phones at the wheel #UB1UB2 #London #Ealing

Transport for London has just announced a trial for advanced, high-tech “stealth” speed cameras across the capital, and several West London boroughs are officially on the list. Unlike the old yellow boxes, these new cameras do NOT flash and do not require white lines painted on the road. Using advanced 4D imaging radar, a single camera can monitor speed, distance, elevation, and direction across five lanes of bi-directional traffic all at once. The trial is specifically targeting 20mph and 30mph zones across nine London boroughs: 📍 Ealing 📍 Brent 📍 Hammersmith & Fulham 📍 Haringey 📍 Tower Hamlets 📍 Havering 📍 Croydon 📍 Hackney 📍 Sutton TfL states this upgrade is “vital” for consistent enforcement and reducing road casualties. However, the Institute of Advanced Motorists (IAM) pointed out that since average speeds in London are already below 20mph, the focus should instead be on catching drivers illegally using their mobile phones at the wheel #UB1UB2 #London #Ealing

UB1UB2 West London (Southall)

112,552 просмотров • 4 месяцев назад

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Using this new agent in ClickUp you can totally leapfrog the IDE, Cursor, Claude Code... Codegen is now available in ClickUp. "Hey Codegen, fix this bug" - me "PR submitted & ready for review!" - Codegen "Sweet, ship it" - me We've always believed that the future of AI value will be realized in horizontal software - today is a huge realization of this vision. Real example: This week our customer support reps started fixing features in real time. Product managers are now prototyping features themselves. You can mention Codegen or assign a task, and all of the optimized context is passed to the Agent to solve bugs and ship improvements with one shot. Available for everyone today.

Zeb Evans

11,636 просмотров • 10 месяцев назад

the end of traditional UGC? AI is now officially beating UGC creators at their own game. I just generated a high-converting ad in under 5 minutes. My new realism framework is so advanced that "authentic" creators can’t even compete. seniors on FB are absolutely cooked... they can't tell the difference anymore. this system is a cheat code—you can literally spin up a viral video like this for ANY product imaginable. comment + RT “UGC” and I’ll DM you the blueprint. (must be following)

the end of traditional UGC? AI is now officially beating UGC creators at their own game. I just generated a high-converting ad in under 5 minutes. My new realism framework is so advanced that "authentic" creators can’t even compete. seniors on FB are absolutely cooked... they can't tell the difference anymore. this system is a cheat code—you can literally spin up a viral video like this for ANY product imaginable. comment + RT “UGC” and I’ll DM you the blueprint. (must be following)

George Stock

10,429 просмотров • 3 месяцев назад

We've just wrapped our annual Delivering the Future event — showcasing our latest and greatest innovations in robotics, AI, and delivery technology. Here are the key updates: 🌟 We're using the latest in AI and robotics to get packages to you faster using tech pioneered for our next generation fulfillment center in Shreveport, LA — speeding up same-day deliveries by processing your orders 25% faster. 🌟 We're making deliveries for drivers easier with AI — using our Vision-Assisted Package Retrieval (VAPR). This in-van AI guidance system shows drivers exactly which packages need to be delivered at their current delivery spot — saving them ~30 mins per route and reducing their perceived physical and cognitive effort by 67% during their shifts. 🌟 We're enhancing our delivery services and shopping experience with AI — for example, you can now generate grocery lists directly from your meal plans. 🌟 We've removed all plastic air pillows from our delivery packaging, replacing them with paper filler made from recycled content. With this shift, we'll avoid nearly 15 BILLION plastic air pillows every year. 🌟 We've expanded our Amazon Pharmacy delivery services. We're more than doubling the number of Amazon Pharmacy locations at Same-Day delivery sites across the United States in 2025, which will mean more convenient access to medications, and upfront pricing.

We've just wrapped our annual Delivering the Future event — showcasing our latest and greatest innovations in robotics, AI, and delivery technology. Here are the key updates: 🌟 We're using the latest in AI and robotics to get packages to you faster using tech pioneered for our next generation fulfillment center in Shreveport, LA — speeding up same-day deliveries by processing your orders 25% faster. 🌟 We're making deliveries for drivers easier with AI — using our Vision-Assisted Package Retrieval (VAPR). This in-van AI guidance system shows drivers exactly which packages need to be delivered at their current delivery spot — saving them ~30 mins per route and reducing their perceived physical and cognitive effort by 67% during their shifts. 🌟 We're enhancing our delivery services and shopping experience with AI — for example, you can now generate grocery lists directly from your meal plans. 🌟 We've removed all plastic air pillows from our delivery packaging, replacing them with paper filler made from recycled content. With this shift, we'll avoid nearly 15 BILLION plastic air pillows every year. 🌟 We've expanded our Amazon Pharmacy delivery services. We're more than doubling the number of Amazon Pharmacy locations at Same-Day delivery sites across the United States in 2025, which will mean more convenient access to medications, and upfront pricing.

Amazon

52,491 просмотров • 1 год назад

Making a camera was way harder than I thought. Here's what I learned: If you want smart phone level camera, you can't just buy a smartphone camera component That's because cameras talk to a special chip (ISP) that does all kinds of magic There's special image software too, and you can't do it yourself, so it's gonna cost you $100-250k for that software that does tuning, HDR, MFNR, etc. Takes months to implement properly Then it's even worse if you want to livestream. Since you can't do the processing after the fact, you've gotta make all that special software run realtime on a resource constrained processor You also gotta realize our hands and heads aren't stable at all. The video is shaky until you do electronic image stabilization (EIS) If you don't do every single one of these right, then you'll have potato-quality video After all this work, we've now got something really good, and I'm amped to ship Mentra Live smart glasses because it's a smart phone quality camera that sees what you see, live streams anywhere, and has an open-source SDK you can build apps with.

Making a camera was way harder than I thought. Here's what I learned: If you want smart phone level camera, you can't just buy a smartphone camera component That's because cameras talk to a special chip (ISP) that does all kinds of magic There's special image software too, and you can't do it yourself, so it's gonna cost you $100-250k for that software that does tuning, HDR, MFNR, etc. Takes months to implement properly Then it's even worse if you want to livestream. Since you can't do the processing after the fact, you've gotta make all that special software run realtime on a resource constrained processor You also gotta realize our hands and heads aren't stable at all. The video is shaky until you do electronic image stabilization (EIS) If you don't do every single one of these right, then you'll have potato-quality video After all this work, we've now got something really good, and I'm amped to ship Mentra Live smart glasses because it's a smart phone quality camera that sees what you see, live streams anywhere, and has an open-source SDK you can build apps with.

cayden 凯登

131,147 просмотров • 9 месяцев назад

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,090 просмотров • 29 дней назад

over the weekend, i built an app that i sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:

over the weekend, i built an app that i sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:

Siqi Chen

208,975 просмотров • 6 месяцев назад

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 просмотров • 1 год назад

🚨 SCIENTISTS JUST SHOWED THAT LIGHT CAN TWIST MATTER USING ITS MAGNETIC FIELD. For a long time, physicists assumed the magnetic component of light was far too weak to have any meaningful effect on matter compared to its electric field. New experiments are challenging that view. Researchers have demonstrated that intense, properly structured light can induce magnetization and even mechanical twisting in materials through its magnetic field alone. This is an extension of the inverse Faraday effect, but observed with greater strength and control than many expected. Why this matters: • It opens new ways to control magnetism and material properties using only light • Could lead to faster, more energy-efficient magnetic memory and spintronic devices • Offers a new tool for manipulating matter at the nanoscale without physical contact • Bridges optics and magnetism in ways that were previously difficult to achieve The deeper implication: Light is not just an information carrier under the right conditions, its magnetic field can directly reshape the magnetic and mechanical state of matter. This blurs the line between electromagnetic waves and material control. If these effects can be scaled and made practical, we may eventually use light itself as a precise tool to write magnetic information or mechanically actuate tiny structures, rather than relying solely on electric currents or physical forces. We’re discovering that light still has hidden capabilities we haven’t fully exploited. How do you think being able to control matter with light’s magnetic field could change technology in the next decade? Follow for more frontier optics, quantum materials, and light-matter physics.

🚨 SCIENTISTS JUST SHOWED THAT LIGHT CAN TWIST MATTER USING ITS MAGNETIC FIELD. For a long time, physicists assumed the magnetic component of light was far too weak to have any meaningful effect on matter compared to its electric field. New experiments are challenging that view. Researchers have demonstrated that intense, properly structured light can induce magnetization and even mechanical twisting in materials through its magnetic field alone. This is an extension of the inverse Faraday effect, but observed with greater strength and control than many expected. Why this matters: • It opens new ways to control magnetism and material properties using only light • Could lead to faster, more energy-efficient magnetic memory and spintronic devices • Offers a new tool for manipulating matter at the nanoscale without physical contact • Bridges optics and magnetism in ways that were previously difficult to achieve The deeper implication: Light is not just an information carrier under the right conditions, its magnetic field can directly reshape the magnetic and mechanical state of matter. This blurs the line between electromagnetic waves and material control. If these effects can be scaled and made practical, we may eventually use light itself as a precise tool to write magnetic information or mechanically actuate tiny structures, rather than relying solely on electric currents or physical forces. We’re discovering that light still has hidden capabilities we haven’t fully exploited. How do you think being able to control matter with light’s magnetic field could change technology in the next decade? Follow for more frontier optics, quantum materials, and light-matter physics.

TheNewPhysics

34,654 просмотров • 1 месяц назад

Force feedback demo Force feedback is when joystick is pushing on your hand when something is pushing on the robot arm. Feeling the force - so much helpful to control the robot, that done well it allows you to do tasks even without visual feed. You can make an experiment: close your eyes - you can easily get the headphones out of the case. Also, visual information is often not enough. For example, you're trying to pull out a usb connector, but you pull it at the wrong angle, causing it to get stuck. Visually, nothing changes, but the pressure is intense and you can break the connector. Surgical robots have been using force feedback for years, and there are also 3D styluses which use this feature, proving that the technology works and is useful. But in modern robots with AI, it's hardly ever implemented. Although it's useful for both teleoperation and AI model. That's one of the reasons why we are building our robotic arms starting with off the shelf motors rather than taking the whole off the shelf arm. There are still a range of easy wins that can be made iterating robot hardware.

Force feedback demo Force feedback is when joystick is pushing on your hand when something is pushing on the robot arm. Feeling the force - so much helpful to control the robot, that done well it allows you to do tasks even without visual feed. You can make an experiment: close your eyes - you can easily get the headphones out of the case. Also, visual information is often not enough. For example, you're trying to pull out a usb connector, but you pull it at the wrong angle, causing it to get stuck. Visually, nothing changes, but the pressure is intense and you can break the connector. Surgical robots have been using force feedback for years, and there are also 3D styluses which use this feature, proving that the technology works and is useful. But in modern robots with AI, it's hardly ever implemented. Although it's useful for both teleoperation and AI model. That's one of the reasons why we are building our robotic arms starting with off the shelf motors rather than taking the whole off the shelf arm. There are still a range of easy wins that can be made iterating robot hardware.

Igor Kulakov

18,773 просмотров • 1 год назад

It’s more than a little daunting to set out to expand and improve the identity system for a company and brand like Stripe. But we knew we had to — the existing one had served us well, but wasn’t up to the task anymore. Our brand system required new and improved tools to scale with our ever growing audiences, new products, global footprint, and more. This update introduces material improvements to infographics, advertising, type styles, and more. While the wordmark remains unchanged, we’re using the dot of the ‘i’ (called the “tittle”), a parallelogram pointing up and to the right, to serve as our identifying symbol. We’re also using it as an ever evolving storytelling device to use when talking about our many great users (you can see the latest brand campaign in SF and NYC doing just that). Anyone who has ever worked on the refresh and expansion of an existing system for a large company knows that it is no small endeavor. Crafting impactful solutions, building alignment, creating extensible guidelines, building toolkits, and orchestrating rollout requires a ton of resilience. Here’s to the team that continually inspires me with their dedication, rigor, taste, and exceptional vibes. Great work and thank you to the Brand Studio folks, and of course our many many amazing and invaluable friends and collaborators across the company who all helped shape the work. And a special thank you to a handful of creative agencies that helped us along the way.

Michael Jeter

11,567 просмотров • 10 месяцев назад