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Meta Develops Non-Invasive Neural Interface for Next-Generation Interaction Meta Reality Labs is advancing wrist-based neural interface technology designed to enable more natural and intuitive interaction with future computing platforms. The non-invasive device leverages finger-tracking to interpret user intent. Meta’s CEO has indicated that the technology could reach commercialization within... show more

Wevolver

64,584 subscribers

333,314 views • 7 months ago •via X (Twitter)

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32 Comments

David Heaney7 months ago

This video and information are ancient. Since then, Meta has shipped this in an actual consumer product with a much sleeker design!

Leshy 📹7 months ago

But can i do this with them

Cuzie7 months ago

"non-invasive" had to make that really clear huh.

Priyesh Gandhi7 months ago

This is the real unlock for robotics. Forget joysticks — EMG from the wrist captures human intent with zero latency. We're building wearable sensors for robot data collection @peaborobotics. Signal fidelity from wrist-based neural input is massively underrated. Meta knows.

MAZZIX787 months ago

This bracelet is already available with the Meta Ray Ban Display it works very well

Fuck You All!!7 months ago

for this device (and everyone else) to be practical, there are two issues that need to be addressed. 1. incredibly affordable and wearable 2. Easy adoption and open source (for various operating systems and embedded devices). Without that, it will be easily forgettable...

matt roberts7 months ago

Thalmic Labs kids.

Discordia🍻🎖7 months ago

How can I interface this with Warudo? 🤔

岡田泰彦｜光邦｜AI×印刷エヴァンジェリスト7 months ago

This feels like a real glimpse into the future of human-computer interaction. これはまさに、人とコンピューターの関わり方の未来を見せてくれる技術ですね。

Drôle d'oiseau7 months ago

Another 3 or 4 years to wait. The future heralds our salvation and emancipation from this biological enslavement. It is surely sad, but were we ever given a choice ? Glory to progress.

Ecosage7 months ago

Yeah we can scroll the endless pile of shit that is Facebook just by waving our hands about. How about meta do some good for society

صلوا على النبي/solaire/tixy7 months ago

ok that actually is kinda cool just wishing it won t steal my arms hair data

Atlas Verdret Ashen Morcego7 months ago

I have a question: will it be possible to use this bracelet together with the virtual reality headset?

NathyhVR7 months ago

@crixlaxvt préstame sus manitas! Preste preste jsjsjsjsj

itsFrozenWaffle7 months ago

This looks neat even though we all know that whatever is released will be buggy shit. That said, this is an old video.

legalprimes7 months ago

I need this so I can use Claude Code at the same time as I workout

El Manuel7 months ago

Pip boy alpha edition

Bob7 months ago

They’ll most certainly pull a Niantic with all the data gathered from this.

Are_In_Vr7 months ago

This is pretty close to my dream VR controller setup. Not as a replacement to controller for gaming, but to make the controllers optional when you just want to sit down to watch a movie, or standing around socializing. Just needs a fully configurable button interface on top.

Energy Juice7 months ago

I had the same idea fifteen years ago using flex sensors

PJW - 🎮Wishlist L.E.A.S.H. VR on Steam🔫7 months ago

Meta is kinda like valve in this regard. They develop a lot of stuff. Only difference (besides the obvious avoidance of consumer friendliness by zucc) is meta shows the projects they very rarely release

robotdrop7 months ago

yeah but i still don't want the glasses

Niraj Dilshan7 months ago

Curious how much training data it needs to accurately map individual intent vs generic patterns. Has anyone seen real latency numbers?

nolex.bsky.social7 months ago

What kinda Black Mirror technology bs is this?!?!? Nah, fr, this looks interesting

Siegus Friedus7 months ago

that's about time what took you so long...

Jimmy Ashcot7 months ago

wrist interfaces still feel more plausible than glasses first

Energy Juice6 months ago

I had the same idea fifteen years ago using flex sensors.

Lidoor L. Joseph7 months ago

@Meta shipped the greatest controller or enabler or input device in human history.

the realest five pebbles ever out there7 months ago

this would go INSANE with vr

🔥🏴‍☠️CyberTechWolf🏴‍☠️🔥7 months ago

I will wait for something not owned by Meta to be developed....

H4sh37 months ago

They could even simulte resistnce when grabbing things by applying a small current at the forearm muscles

Azeem7 months ago

This is exciting but the wristband is a temporary step. The real endgame is full neural integration without any wearable at all – think electric field detection from a distance. Meta knows this.

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1,092,735 views • 2 years ago

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236,034 views • 1 month ago

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Zuckerberg, just admit you took the wrong bet. Meta spent years building for a metaverse that Zuckerberg believed would arrive before advanced AI. Instead, advanced AI became commercially viable while affordable holographic glasses remained years away. Zuckerberg now acknowledges that Meta misread the order in which these technologies would develop and believes AI will ultimately become a much larger opportunity. That mistake was incredibly expensive, Reality Labs has accumulated more than $80 billion in operating losses since late 2020, including another $4.62 billion loss in the second quarter of 2026. Meta has since cut more than 1,000 Reality Labs jobs, closed several VR studios, and redirected resources from virtual reality toward AI powered glasses and wearables. Zuckerberg is not completely abandoning the metaverse but he is putting the most ambitious version of it on the shelf until the hardware becomes affordable enough for mass adoption. Meta is now treating glasses as a delivery system for AI rather than a portal into virtual worlds. That is a fundamentally different strategy because the original plan was to convince people to enter Meta’s digital world through a headset. The new plan is to bring Meta’s AI into the world people already inhabit through lightweight glasses that can see, hear, and interact with their surroundings. This strategy has a much clearer path to adoption because users do not need to change their behavior or isolate themselves inside a virtual environment. Meta can also connect those glasses with Muse, giving its personal AI agent access to what users see and hear throughout the day.

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31,927 views • 23 days ago

The next computing shift is already underway — and it’s happening faster than even the people building it expected. Meta CTO Boz joins David George to talk about how the team is rooted in solving real-world problems — and how this new wave of AI is unlike any before, ushering us towards a future beyond the smartphone. Boz says AI isn’t just making things faster or cheaper, it’s making everything better. From interfaces to interaction design, AI is transforming how we build — and how we compute. For more on the future of computing, wearables, and AI-native UX, watch the full conversation with Boz and David:

The next computing shift is already underway — and it’s happening faster than even the people building it expected. Meta CTO Boz joins David George to talk about how the team is rooted in solving real-world problems — and how this new wave of AI is unlike any before, ushering us towards a future beyond the smartphone. Boz says AI isn’t just making things faster or cheaper, it’s making everything better. From interfaces to interaction design, AI is transforming how we build — and how we compute. For more on the future of computing, wearables, and AI-native UX, watch the full conversation with Boz and David:

a16z

17,489 views • 1 year ago

Meta paid $14 billion to pry Alex Wang away from Scale AI, the company he co-founded and ran. The hope - Zuck's hope - was that Wang could fix what ailed Meta's AI program. Over the past year, Meta has spent billions more pulling researchers away from other labs and has raced to create it first new model called Muse Spark under a regime led by Wang, Nat Friedman, Daniel Gross and Shengjia Zhao. This interview is the first time Wang has talked about all the drama of the past year and where Meta is heading with AI. The Core Memory podcast is on Apple, Spotify, YouTube and all major platforms. Enjoy! Timestamps 00:00 Intro 02:02 Inside Meta Superintelligence Labs 06:23 The Tahoe Conversation 12:50 How Do You Rebuild a Frontier Lab 24:35 The Soup and Being "Too Young" 32:48 MuseSpark: Appetizer, Not Entrée 48:47 Why Does Everyone Hate AI? 53:50 Open Source and the Manus Question 1:04:59 Robots and Mango 1:11:08 Sci-Fi, BCI, and Do AI Models Deserve Moral Weight?

Meta paid $14 billion to pry Alex Wang away from Scale AI, the company he co-founded and ran. The hope - Zuck's hope - was that Wang could fix what ailed Meta's AI program. Over the past year, Meta has spent billions more pulling researchers away from other labs and has raced to create it first new model called Muse Spark under a regime led by Wang, Nat Friedman, Daniel Gross and Shengjia Zhao. This interview is the first time Wang has talked about all the drama of the past year and where Meta is heading with AI. The Core Memory podcast is on Apple, Spotify, YouTube and all major platforms. Enjoy! Timestamps 00:00 Intro 02:02 Inside Meta Superintelligence Labs 06:23 The Tahoe Conversation 12:50 How Do You Rebuild a Frontier Lab 24:35 The Soup and Being "Too Young" 32:48 MuseSpark: Appetizer, Not Entrée 48:47 Why Does Everyone Hate AI? 53:50 Open Source and the Manus Question 1:04:59 Robots and Mango 1:11:08 Sci-Fi, BCI, and Do AI Models Deserve Moral Weight?

Ashlee Vance

97,018 views • 5 months ago

Investors may be underestimating the optionality of $META AI glasses. In a conversation with Jensen Huang, Mark Zuckerberg laid out the vision — and it’s bigger than most realize. Ray-Ban $META glasses started with a simple constraint: make something that looks great, and fit as much technology as possible within that form factor. Camera, microphone, speakers, live streaming, WhatsApp video calls. But then the unexpected happened — that same sensor package turned out to be exactly what you need to talk to AI. That wasn’t the plan. It happened organically. And it changes the trajectory of the product potential. Zuckerberg’s projection: displayless AI glasses at a ~$300 price point becoming a product that tens — potentially hundreds — of millions of people eventually own. Ambient AI interaction built into something people already wear. Real-time translation. Visual language understanding. Etc. The optionality here is meaningful. $NVDA $EL.PA ___ YouTube: Nvidia | AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg (07/29/2024)

Investors may be underestimating the optionality of $META AI glasses. In a conversation with Jensen Huang, Mark Zuckerberg laid out the vision — and it’s bigger than most realize. Ray-Ban $META glasses started with a simple constraint: make something that looks great, and fit as much technology as possible within that form factor. Camera, microphone, speakers, live streaming, WhatsApp video calls. But then the unexpected happened — that same sensor package turned out to be exactly what you need to talk to AI. That wasn’t the plan. It happened organically. And it changes the trajectory of the product potential. Zuckerberg’s projection: displayless AI glasses at a ~$300 price point becoming a product that tens — potentially hundreds — of millions of people eventually own. Ambient AI interaction built into something people already wear. Real-time translation. Visual language understanding. Etc. The optionality here is meaningful. $NVDA $EL.PA ___ YouTube: Nvidia | AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg (07/29/2024)

Dimitry Nakhla | Babylon Capital®

38,799 views • 6 months ago

Did Meta Make A Big Mistake By Removing PM Modi's Video?? - Amit Dubey Meta did make a major error by temporarily removing Prime Minister Narendra Modi’s Facebook video, a move that sparked intense governmental backlash and severe legal warnings in India. In an interview on the channel of popular digital creator RJRaunac, cyber security expert Amit Dubey highlighted how this incident exposed deep flaws in how big tech operates. PM Modi posted a video on July 23 addressing Gen Z students about the NEET paper leak controversy. The video was suddenly blocked and remained unavailable on Facebook for over five hours. Meta initially cited legal obligations, but later blamed an automated AI filter glitch for the accidental takedown. The Indian government and a parliamentary IT panel, led by MP Nishikant Dubey, heavily grilled Meta's global team. They rejected the "technical glitch" excuse, raising questions about potential algorithmic bias and systemic flaws. Loss of Safe Harbour Protection: The Parliamentary Committee warned Meta that it could lose its "safe harbour" immunity under Section 79 of the IT Act if accountability isn't met. This protection shields Meta from legal liability for user-generated content; losing it would expose the company to massive legal vulnerabilities. Demand for Zuckerberg's Apology: While Meta's Global Affairs chief Joel Kaplan conveyed an official apology to IT Minister Ashwini Vaishnaw, the parliamentary panel has heavily pushed for a personal, written apology from Meta CEO Mark Zuckerberg. The incident has significantly damaged Meta’s standing in India its largest global user market reigniting intense national debates around digital sovereignty and the lack of human transparency in big-tech content moderation. Credit : TRP/RJ Raunac.

Did Meta Make A Big Mistake By Removing PM Modi's Video?? - Amit Dubey Meta did make a major error by temporarily removing Prime Minister Narendra Modi’s Facebook video, a move that sparked intense governmental backlash and severe legal warnings in India. In an interview on the channel of popular digital creator RJRaunac, cyber security expert Amit Dubey highlighted how this incident exposed deep flaws in how big tech operates. PM Modi posted a video on July 23 addressing Gen Z students about the NEET paper leak controversy. The video was suddenly blocked and remained unavailable on Facebook for over five hours. Meta initially cited legal obligations, but later blamed an automated AI filter glitch for the accidental takedown. The Indian government and a parliamentary IT panel, led by MP Nishikant Dubey, heavily grilled Meta's global team. They rejected the "technical glitch" excuse, raising questions about potential algorithmic bias and systemic flaws. Loss of Safe Harbour Protection: The Parliamentary Committee warned Meta that it could lose its "safe harbour" immunity under Section 79 of the IT Act if accountability isn't met. This protection shields Meta from legal liability for user-generated content; losing it would expose the company to massive legal vulnerabilities. Demand for Zuckerberg's Apology: While Meta's Global Affairs chief Joel Kaplan conveyed an official apology to IT Minister Ashwini Vaishnaw, the parliamentary panel has heavily pushed for a personal, written apology from Meta CEO Mark Zuckerberg. The incident has significantly damaged Meta’s standing in India its largest global user market reigniting intense national debates around digital sovereignty and the lack of human transparency in big-tech content moderation. Credit : TRP/RJ Raunac.

Augadh

16,468 views • 2 months ago

Was this Meta's iPhone moment? On January 9, 2007, Steve Jobs walked on stage and unveiled a glass rectangle. Most of the room didn't get it. Within a decade it became the most profitable product in history and made Apple the most valuable company on earth. This week Zuckerberg walked on stage at Meta Connect and made a bet just as big. Not a better phone. The thing that replaces the phone. Muse Charm, a pendant that carries an AI agent with no screen at all. VR glasses at 100 grams that make the Vision Pro look like a brick. Camera-free audio glasses. And the pitch behind all of it: "delivering personal superintelligence is now within reach." AI on your face instead of in your pocket. Here's why the comparison is tempting. The iPhone didn't win because it was a great phone. It won because it became the platform everything else ran on. Zuckerberg is reaching for exactly that, to own the next computing platform outright, so Meta never again has to pay Apple's tax to reach its own users. So will this make Meta the world's most valuable company, the first to $10 trillion? Maybe. That's the prize he's playing for. But remember what history actually teaches. For every iPhone, there's a Google Glass, a Newton, an Amazon Fire Phone. The graveyard of "the next iPhone" is enormous, and the winners are only obvious in hindsight. The vision is real. The bet is genuine. The moment might be historic. Or it might be the moment everyone points to later and asks what they were thinking. We'll know in ten years. Not ten days. What‘s your take?

Was this Meta's iPhone moment? On January 9, 2007, Steve Jobs walked on stage and unveiled a glass rectangle. Most of the room didn't get it. Within a decade it became the most profitable product in history and made Apple the most valuable company on earth. This week Zuckerberg walked on stage at Meta Connect and made a bet just as big. Not a better phone. The thing that replaces the phone. Muse Charm, a pendant that carries an AI agent with no screen at all. VR glasses at 100 grams that make the Vision Pro look like a brick. Camera-free audio glasses. And the pitch behind all of it: "delivering personal superintelligence is now within reach." AI on your face instead of in your pocket. Here's why the comparison is tempting. The iPhone didn't win because it was a great phone. It won because it became the platform everything else ran on. Zuckerberg is reaching for exactly that, to own the next computing platform outright, so Meta never again has to pay Apple's tax to reach its own users. So will this make Meta the world's most valuable company, the first to $10 trillion? Maybe. That's the prize he's playing for. But remember what history actually teaches. For every iPhone, there's a Google Glass, a Newton, an Amazon Fire Phone. The graveyard of "the next iPhone" is enormous, and the winners are only obvious in hindsight. The vision is real. The bet is genuine. The moment might be historic. Or it might be the moment everyone points to later and asks what they were thinking. We'll know in ten years. Not ten days. What‘s your take?

Thierry from arvy 🇨🇭

41,738 views • 24 days ago

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!

Andrew Ng

131,846 views • 2 years ago

📣 I talk a lot about Meta SDKs because I spend a lot of time with these tools. But also when someone asks me what VR/MR tools they can use for cross platform support, I recommend 𝗨𝗻𝗶𝘁𝘆’𝘀 𝗫𝗥 𝗧𝗼𝗼𝗹𝗸𝗶𝘁 which provides: - 𝗖𝗿𝗼𝘀𝘀-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁: Meta Quest, OpenXR, Windows Mixed Reality, + more - 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀: Hover, select, grab - 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: Haptic + visual tint/line for possible & active interactions - 𝗨𝗜: Canvas interaction via XR controllers - 𝗨𝘁𝗶𝗹𝗶𝘁𝗶𝗲𝘀: XR Origin support for stationary & room-scale VR - 𝗫𝗥 𝗛𝗮𝗻𝗱𝘀: this is an extended package to support more advanced hand tracking interactions 👉 Also, it supports 𝗔𝗥 𝗳𝗼𝗿 𝗺𝗼𝗯𝗶𝗹𝗲 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗔𝗥 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻, the features are: - 𝗔𝗥 𝗴𝗲𝘀𝘁𝘂𝗿𝗲 𝘀𝘆𝘀𝘁𝗲𝗺: Maps screen touches to Input System gesture events via TouchscreenGestureInputController - 𝗦𝗰𝗿𝗲𝗲𝗻-𝘀𝗽𝗮𝗰𝗲 𝗶𝗻𝗽𝘂𝘁: Feeds touch data into XRRayInteractor for AR interaction - 𝗔𝗥𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿: Converts place, select, translate, rotate, scale gestures into object manipulation 👨‍💻 And to emulate your apps/games without physical devices I recommend the following: - 𝗫𝗥 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗼𝗿 for VR/MR to test your interactions - 𝗔𝗥 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗺𝗼𝘁𝗲 𝟮.𝟬 for AR Foundation testing, this allows you to remotely test all the AR features by connecting the Unity editor to your physical device (iOS or Android) 💡 Are you using Unity’s XR Toolkit? ISDK? any other toolkit?

📣 I talk a lot about Meta SDKs because I spend a lot of time with these tools. But also when someone asks me what VR/MR tools they can use for cross platform support, I recommend 𝗨𝗻𝗶𝘁𝘆’𝘀 𝗫𝗥 𝗧𝗼𝗼𝗹𝗸𝗶𝘁 which provides: - 𝗖𝗿𝗼𝘀𝘀-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝘂𝗽𝗽𝗼𝗿𝘁: Meta Quest, OpenXR, Windows Mixed Reality, + more - 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀: Hover, select, grab - 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: Haptic + visual tint/line for possible & active interactions - 𝗨𝗜: Canvas interaction via XR controllers - 𝗨𝘁𝗶𝗹𝗶𝘁𝗶𝗲𝘀: XR Origin support for stationary & room-scale VR - 𝗫𝗥 𝗛𝗮𝗻𝗱𝘀: this is an extended package to support more advanced hand tracking interactions 👉 Also, it supports 𝗔𝗥 𝗳𝗼𝗿 𝗺𝗼𝗯𝗶𝗹𝗲 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗔𝗥 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻, the features are: - 𝗔𝗥 𝗴𝗲𝘀𝘁𝘂𝗿𝗲 𝘀𝘆𝘀𝘁𝗲𝗺: Maps screen touches to Input System gesture events via TouchscreenGestureInputController - 𝗦𝗰𝗿𝗲𝗲𝗻-𝘀𝗽𝗮𝗰𝗲 𝗶𝗻𝗽𝘂𝘁: Feeds touch data into XRRayInteractor for AR interaction - 𝗔𝗥𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿: Converts place, select, translate, rotate, scale gestures into object manipulation 👨‍💻 And to emulate your apps/games without physical devices I recommend the following: - 𝗫𝗥 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗼𝗿 for VR/MR to test your interactions - 𝗔𝗥 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗺𝗼𝘁𝗲 𝟮.𝟬 for AR Foundation testing, this allows you to remotely test all the AR features by connecting the Unity editor to your physical device (iOS or Android) 💡 Are you using Unity’s XR Toolkit? ISDK? any other toolkit?

Dilmer

13,239 views • 6 months ago

RailScan Multi-Function Robot: Railway Surface Inspection The RailScan robot is designed for track inspection, using a self-moving platform and precise sensors to quickly detect track defects. It assists track inspectors with nighttime inspections, addressing challenges in traditional manual inspections such as heavy workload, missed detections, and difficult tasks. The robot helps reduce inspection costs, improve efficiency, and enhance safety by identifying potential hazards in the rail track. Video source: Shenhao Robotics #robotics #inspection #RailwayRobot #technology #engineering #stem #innovation #robots #automation ----------------------- Wanna get your company on Wevolver too? Learn how:

RailScan Multi-Function Robot: Railway Surface Inspection The RailScan robot is designed for track inspection, using a self-moving platform and precise sensors to quickly detect track defects. It assists track inspectors with nighttime inspections, addressing challenges in traditional manual inspections such as heavy workload, missed detections, and difficult tasks. The robot helps reduce inspection costs, improve efficiency, and enhance safety by identifying potential hazards in the rail track. Video source: Shenhao Robotics #robotics #inspection #RailwayRobot #technology #engineering #stem #innovation #robots #automation ----------------------- Wanna get your company on Wevolver too? Learn how:

Wevolver

26,459 views • 1 year ago

#WATCH | Mumbai, Maharashtra: On Meta CEO Mark Zuckerberg's apology over the temporary removal of PM Modi's video, Cyber Expert Prashant Mali says, "If a social media platform has removed the Prime Minister of India's official video without valid justification, then this is not merely about one individual. It raises serious questions about accountability towards India's democratic institutions. However, I feel the government should deal with this issue strictly within the framework of law and not emotion. If Meta has violated Indian laws, the IT Act, the Intermediary Rules, or any other applicable legal provisions, the government is well within its rights to seek an explanation and initiate legal proceedings if warranted, because that is required. At the same time, Meta also must demonstrate transparency by publicly explaining why the video was taken down and whether this was the result of a human or technical error. An apology and a clear commitment to prevent such incidents in the future would be the responsible course of action. I feel India is one of Meta's largest markets, and every global platform, be it a technology platform or a social media platform, must respect India's laws, democratic institutions, and digital sovereignty. That's very important. Being a sovereign country and respecting digital sovereignty have become two things that Meta is clearly seen not doing here. And I think, henceforth, Meta will respect India's digital sovereignty." (Source: Self-Made)

#WATCH | Mumbai, Maharashtra: On Meta CEO Mark Zuckerberg's apology over the temporary removal of PM Modi's video, Cyber Expert Prashant Mali says, "If a social media platform has removed the Prime Minister of India's official video without valid justification, then this is not merely about one individual. It raises serious questions about accountability towards India's democratic institutions. However, I feel the government should deal with this issue strictly within the framework of law and not emotion. If Meta has violated Indian laws, the IT Act, the Intermediary Rules, or any other applicable legal provisions, the government is well within its rights to seek an explanation and initiate legal proceedings if warranted, because that is required. At the same time, Meta also must demonstrate transparency by publicly explaining why the video was taken down and whether this was the result of a human or technical error. An apology and a clear commitment to prevent such incidents in the future would be the responsible course of action. I feel India is one of Meta's largest markets, and every global platform, be it a technology platform or a social media platform, must respect India's laws, democratic institutions, and digital sovereignty. That's very important. Being a sovereign country and respecting digital sovereignty have become two things that Meta is clearly seen not doing here. And I think, henceforth, Meta will respect India's digital sovereignty." (Source: Self-Made)

ANI

114,432 views • 2 months ago

Open science is how we continue to push technology forward and today at Meta FAIR we’re sharing eight new AI research artifacts including new models, datasets and code to inspire innovation in the community. More in the video from Joelle Pineau. This work is another important step towards our goal of achieving Advanced Machine Intelligence (AMI). What we’re releasing: • Meta Spirit LM: An open source language model for seamless speech and text integration. • Meta Segment Anything Model 2.1: An updated checkpoint with improved results on visually similar objects, small objects and occlusion handling. Plus a new developer suite to make it easier for developers to build with SAM 2. • Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance. • SALSA: New code to enable researchers to benchmark AI-based attacks in support of validating security for post-quantum cryptography. • Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale. • Meta Open Materials: New open source models and the largest dataset of its kind to accelerate AI-driven discovery of new inorganic materials. • MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder with coverage across 80 languages. • Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations. Access to state-of-the-art AI creates opportunities for everyone. We’re excited to share this work and look forward to seeing the community innovation that results from it. Details and access to everything released by FAIR today ➡️

Open science is how we continue to push technology forward and today at Meta FAIR we’re sharing eight new AI research artifacts including new models, datasets and code to inspire innovation in the community. More in the video from Joelle Pineau. This work is another important step towards our goal of achieving Advanced Machine Intelligence (AMI). What we’re releasing: • Meta Spirit LM: An open source language model for seamless speech and text integration. • Meta Segment Anything Model 2.1: An updated checkpoint with improved results on visually similar objects, small objects and occlusion handling. Plus a new developer suite to make it easier for developers to build with SAM 2. • Layer Skip: Inference code and fine-tuned checkpoints demonstrating a new method for enhancing LLM performance. • SALSA: New code to enable researchers to benchmark AI-based attacks in support of validating security for post-quantum cryptography. • Meta Lingua: A lightweight and self-contained codebase designed to train language models at scale. • Meta Open Materials: New open source models and the largest dataset of its kind to accelerate AI-driven discovery of new inorganic materials. • MEXMA: A new research paper and code for our novel pre-trained cross-lingual sentence encoder with coverage across 80 languages. • Self-Taught Evaluator: a new method for generating synthetic preference data to train reward models without relying on human annotations. Access to state-of-the-art AI creates opportunities for everyone. We’re excited to share this work and look forward to seeing the community innovation that results from it. Details and access to everything released by FAIR today ➡️

AI at Meta

150,477 views • 2 years ago