Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Borg Autonomous Pallet Mover v1.0 Fully autonomous and omnidirectional. The U-shaped gantry automatically lifts for visibility over loaded pallets. A 360 degree camera view enhances safety in dynamic environments. The standard model comes with fixed forks, with an optional upgrade for adjustable width forks. Our integrated VLM with input...

borgrobotic's profile picture

borg™

6,702 subscribers

31,990 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & TeknolojiHaberler & PolitikaEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

11 Yorum

The Humanoid Labs profil fotoğrafı
The Humanoid Labs1 yıl önce

best looking pallet mover I've ever seen 😉

NICE profil fotoğrafı
NICE1 yıl önce

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Ark Baltser profil fotoğrafı
Ark Baltser1 yıl önce

Lets go!

Briscoe Crain IV profil fotoğrafı
Briscoe Crain IV1 yıl önce

Borg! 🦾 Borg! 🦾 Borg! 🦾

DeBarra Shaw profil fotoğrafı
DeBarra Shaw1 yıl önce

Smooth movement, sleek design. Nice.

AG 🐊 profil fotoğrafı
AG 🐊1 yıl önce

@LidlGB first customer 🫨

Bruno profil fotoğrafı
Bruno1 yıl önce

Looking clean!

FelixDaniels profil fotoğrafı
FelixDaniels1 yıl önce

How are you making the small wheels omni directional, and stable enough for heavy loads?

borg™ profil fotoğrafı
borg™1 yıl önce

That was one of the biggest challenges, we designed and built them in house.

Froggii profil fotoğrafı
Froggii1 yıl önce

whoa

Borg King profil fotoğrafı
Borg King1 yıl önce

I approve!

Benzer Videolar

Our first mission at Borg is to help restore America's industrial and manufacturing strength with the help of our Ai integrated robots. In this video, you'll see our autonomous pallet jack and our modular humanoid robot Borg 01 in action. Borg 01 modular design enables autonomous switching between a bipedal and wheeled base, as well as interchangeability of end effectors. We're gearing up to launch three robots in late Q2 including the pallet jack, the humanoid Borg 01, and one more yet to be announced. Stay tuned. Built in Detroit.
0:59

Our first mission at Borg is to help restore America's industrial and manufacturing strength with the help of our Ai integrated robots. In this video, you'll see our autonomous pallet jack and our modular humanoid robot Borg 01 in action. Borg 01 modular design enables autonomous switching between a bipedal and wheeled base, as well as interchangeability of end effectors. We're gearing up to launch three robots in late Q2 including the pallet jack, the humanoid Borg 01, and one more yet to be announced. Stay tuned. Built in Detroit.

borg™

53,902 görüntüleme • 1 yıl önce

NEWS: Tesla has introduced an updated Robotaxi website, a clear sign that expansion is coming soon. “We’re bringing autonomous rides to you today—starting with Model Y. Autonomous Robotaxi rides are currently being offered in Austin, Texas. To get started, download the Robotaxi app. Cybercab, our purpose-built fully autonomous vehicle, will offer rides in your area in the future. We are building an autonomous future that is accessible to all people. Our Robotaxi vehicles are designed to support various accessibility needs including space for service animals and room to store some wheelchairs and other assistive devices. The Tesla app is currently available in 29 languages, with more being added.”
1:08

NEWS: Tesla has introduced an updated Robotaxi website, a clear sign that expansion is coming soon. “We’re bringing autonomous rides to you today—starting with Model Y. Autonomous Robotaxi rides are currently being offered in Austin, Texas. To get started, download the Robotaxi app. Cybercab, our purpose-built fully autonomous vehicle, will offer rides in your area in the future. We are building an autonomous future that is accessible to all people. Our Robotaxi vehicles are designed to support various accessibility needs including space for service animals and room to store some wheelchairs and other assistive devices. The Tesla app is currently available in 29 languages, with more being added.”

Sawyer Merritt

164,265 görüntüleme • 9 ay önce

The Ultimate Garden Space-Savers: Pallets & Milk Crates Maximize your yard space and grow an abundance of fresh produce with these clever DIY vertical gardening hacks. How to Transform a Shipping Pallet Into a Vertical Garden An old wooden pallet can easily become a thriving, space-saving garden wall perfect for small yards, patios, or balconies. Prep the Base: Lay the pallet flat and wrap the back, bottom, and sides with heavy-duty landscape fabric. Use a staple gun to secure it tightly along the edges. This creates a secure backing that holds the soil in place. Fill with Soil: Flip the pallet over so the open slats are facing up. Pour high-quality potting mix into the openings, pressing it firmly into the channels until the pallet is packed full. Planting: Tuck your starter plants closely together into the exposed soil between the slats. The Vertical Shift: Leave the pallet flat for a week or two to allow the roots to take hold and stabilize the soil. Once established, lean it securely against a wall or fence, water thoroughly, and watch it grow. Best Plants for Pallet Gardening Shallow-rooted plants and compact varieties thrive best in the structured slots of a vertical pallet: Strawberries: The absolute king of pallet gardening. They cascade beautifully over the wooden slats and keep the fruit off the damp ground, preventing rot. Leafy Greens: Lettuce, spinach, kale, and arugula thrive in this setup and are easy to harvest at eye level. Fresh Herbs: Create a living herb wall with basil, thyme, oregano, mint, and parsley. Compact Flowers: Marigolds, pansies, and petunias add vibrant color and help attract pollinators to the garden. The Stacking Secret to Maxing Out Crate Potatoes Growing potatoes vertically in stacked milk crates is one of the most efficient ways to get a massive yield out of a tiny footprint. Line with Forage: Line the bottom of the first milk crate with a thick layer of straw or hay. This keeps the soil from washing out while maintaining excellent drainage. The First Layer: Add a few inches of rich compost and potting soil, then place the seed potatoes (sprouts facing up) onto the dirt. Cover them with another layer of soil. The Stacking Hack: As the potato plants grow and the green leafy stems reach toward the sun, place a second milk crate directly on top of the first. Continuous Hilling: Add more soil and straw around the growing stems, leaving just the top leaves exposed. Repeat this process, stacking up to three or four crates high. The Payoff: The buried stems will continually send out new roots that produce extra tubers. When the plants die back at the end of the season, simply unstack the crates one by one for an incredibly easy, dig-free harvest of fresh, clean potatoes.
0:35

The Ultimate Garden Space-Savers: Pallets & Milk Crates Maximize your yard space and grow an abundance of fresh produce with these clever DIY vertical gardening hacks. How to Transform a Shipping Pallet Into a Vertical Garden An old wooden pallet can easily become a thriving, space-saving garden wall perfect for small yards, patios, or balconies. Prep the Base: Lay the pallet flat and wrap the back, bottom, and sides with heavy-duty landscape fabric. Use a staple gun to secure it tightly along the edges. This creates a secure backing that holds the soil in place. Fill with Soil: Flip the pallet over so the open slats are facing up. Pour high-quality potting mix into the openings, pressing it firmly into the channels until the pallet is packed full. Planting: Tuck your starter plants closely together into the exposed soil between the slats. The Vertical Shift: Leave the pallet flat for a week or two to allow the roots to take hold and stabilize the soil. Once established, lean it securely against a wall or fence, water thoroughly, and watch it grow. Best Plants for Pallet Gardening Shallow-rooted plants and compact varieties thrive best in the structured slots of a vertical pallet: Strawberries: The absolute king of pallet gardening. They cascade beautifully over the wooden slats and keep the fruit off the damp ground, preventing rot. Leafy Greens: Lettuce, spinach, kale, and arugula thrive in this setup and are easy to harvest at eye level. Fresh Herbs: Create a living herb wall with basil, thyme, oregano, mint, and parsley. Compact Flowers: Marigolds, pansies, and petunias add vibrant color and help attract pollinators to the garden. The Stacking Secret to Maxing Out Crate Potatoes Growing potatoes vertically in stacked milk crates is one of the most efficient ways to get a massive yield out of a tiny footprint. Line with Forage: Line the bottom of the first milk crate with a thick layer of straw or hay. This keeps the soil from washing out while maintaining excellent drainage. The First Layer: Add a few inches of rich compost and potting soil, then place the seed potatoes (sprouts facing up) onto the dirt. Cover them with another layer of soil. The Stacking Hack: As the potato plants grow and the green leafy stems reach toward the sun, place a second milk crate directly on top of the first. Continuous Hilling: Add more soil and straw around the growing stems, leaving just the top leaves exposed. Repeat this process, stacking up to three or four crates high. The Payoff: The buried stems will continually send out new roots that produce extra tubers. When the plants die back at the end of the season, simply unstack the crates one by one for an incredibly easy, dig-free harvest of fresh, clean potatoes.

PeachProof

69,297 görüntüleme • 4 ay önce

🤖Neurai AI Chat: New version We have updated our AI chat to improve its performance with mobiles and tablets. It has also been updated with a free LLM selector. With a mobile phone, a chrome based browser and by selecting llama 3.2 1B, it is possible to have an AI in your pocket. ✨Why is an AI chat necessary for Neurai? The value of running an AI locally is very important to avoid exposing our information to large corporations and allows autonomy to anyone. With a cell phone it is possible to improve in programming, translate between languages, find information without advertising and have a small AI agent in your pocket. ✨Integration at Neurai In the future, we will add a feature that will allow to anchor a Neurai wallet to the chat and extend the information between different devices such as IoT equipment through the blockchain's own encryption systems. #Neurai #XNA #AI #IoT #DePin #RWA If you want to try our chat on your cell phone, the link is in the next post 👇👇👇
0:48

🤖Neurai AI Chat: New version We have updated our AI chat to improve its performance with mobiles and tablets. It has also been updated with a free LLM selector. With a mobile phone, a chrome based browser and by selecting llama 3.2 1B, it is possible to have an AI in your pocket. ✨Why is an AI chat necessary for Neurai? The value of running an AI locally is very important to avoid exposing our information to large corporations and allows autonomy to anyone. With a cell phone it is possible to improve in programming, translate between languages, find information without advertising and have a small AI agent in your pocket. ✨Integration at Neurai In the future, we will add a feature that will allow to anchor a Neurai wallet to the chat and extend the information between different devices such as IoT equipment through the blockchain's own encryption systems. #Neurai #XNA #AI #IoT #DePin #RWA If you want to try our chat on your cell phone, the link is in the next post 👇👇👇

NeurAI Project / XNA

13,561 görüntüleme • 1 yıl önce

High-quality experimental data fuels biological discovery. Could an AI-enabled "autonomous lab" fundamentally increase the rate at which we generate it, and accelerate our progress toward cures for disease? That's the question I sat down to explore with Jason Kelly, CEO of Ginkgo Bioworks, for a deep-dive and tour of their 52-RAC lab in Boston's Seaport District. In our conversation we covered: → Ginkgo's recent collaboration with OpenAI on cell-free protein synthesis → U.S. Department of Energy's POTUS-backed Genesis Mission to accelerate AI for science → The evolution from cloud labs to truly autonomous labs → An on-the-floor look at Ginkgo's lab, including early challenges and creative workarounds If you're curious about frontier AI models meet the lab bench, check out the latest episode of the Discovery Engines Podcast. Watch or listen: 👀 YouTube: 🎧 Spotify: 🎧 Apple:
0:29

High-quality experimental data fuels biological discovery. Could an AI-enabled "autonomous lab" fundamentally increase the rate at which we generate it, and accelerate our progress toward cures for disease? That's the question I sat down to explore with Jason Kelly, CEO of Ginkgo Bioworks, for a deep-dive and tour of their 52-RAC lab in Boston's Seaport District. In our conversation we covered: → Ginkgo's recent collaboration with OpenAI on cell-free protein synthesis → U.S. Department of Energy's POTUS-backed Genesis Mission to accelerate AI for science → The evolution from cloud labs to truly autonomous labs → An on-the-floor look at Ginkgo's lab, including early challenges and creative workarounds If you're curious about frontier AI models meet the lab bench, check out the latest episode of the Discovery Engines Podcast. Watch or listen: 👀 YouTube: 🎧 Spotify: 🎧 Apple:

Nabil Laoudji

11,508 görüntüleme • 6 ay önce

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots
6:38

Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning Swaayatt Robots

Sanjeev Sharma

125,317 görüntüleme • 2 yıl önce

It was a great show at Automate for Ati Robotics. There is a clear vibe shift in robotics demand in US manufacturing. There is a huge intent to get robots now compared to earlier when people were evaluating robots. While our pallet mover and Tugger were our workhorses with folks looking to deploy immediately, the show stealer was our industrial humanoid, Sherpa Mecha. Many people were surprised to see we did the actuators and had a very novel arm design (motors in shoulder, cable driven, carbon fiber arms) compared to most folks who have put together Chinese arms with software on top. All our products are made with first principles thinking and this is no different. Focused usecases and real deployments will win the market. We will get to real deployments much faster (next summer) and beta deployments start this year itself. We already have a global customer in both US and India where we will be deploying the Mecha. We also move into our new facility to assemble the robots near Detroit in July. Never been a better time to be in robotics. Super excited!
0:50

It was a great show at Automate for Ati Robotics. There is a clear vibe shift in robotics demand in US manufacturing. There is a huge intent to get robots now compared to earlier when people were evaluating robots. While our pallet mover and Tugger were our workhorses with folks looking to deploy immediately, the show stealer was our industrial humanoid, Sherpa Mecha. Many people were surprised to see we did the actuators and had a very novel arm design (motors in shoulder, cable driven, carbon fiber arms) compared to most folks who have put together Chinese arms with software on top. All our products are made with first principles thinking and this is no different. Focused usecases and real deployments will win the market. We will get to real deployments much faster (next summer) and beta deployments start this year itself. We already have a global customer in both US and India where we will be deploying the Mecha. We also move into our new facility to assemble the robots near Detroit in July. Never been a better time to be in robotics. Super excited!

Saurabh Chandra

11,043 görüntüleme • 3 ay önce

Somite is building the blueprints to create any cell type for any person. We call it DeltaStem, our foundation model for the human cell. Our proprietary capsule technology allows us to generate cell signaling data 1,000x faster and more efficiently than current methods, accelerating discovery and optimization of cell production for treatment of diseases like type 1 diabetes, osteoarthritis, and DMD. DeltaStem allows us to reliably generate previously inaccessible cell types for the first time, unlocking a foundry of human spare parts. To scale DeltaStem and bring it into therapeutics, we’re excited to share that we’ve raised over $47M in Series A funding. Our round was led by Khosla Ventures, with participation from SciFi VC, the Chan Zuckerberg Initiative, Fusion Fund, Ajinomoto Group Ventures, Pitango HealthTech, TechAviv, Harpoon Ventures, along with angel investors such as Dr. R. Martin Chavez (former Chairman of Recursion), and Fidji Simo (outgoing CEO of Instacart and incoming CEO of Applications at OpenAI). Somite was founded and is led by a team of AI entrepreneurs and developmental biologists: Dr. Micha Breakstone, a repeat AI entrepreneur, Dr. Jonathan Rosenfeld, leader of the Fundamental AI Group at MIT, and a distinguished group of scientific co-founders representing institutions like Harvard Medical School and the National Academies of Science and Medicine. We look forward to collaborating with strategic partners who share our vision of leveraging AI for a new age in human repair. Reach out:
0:25

Somite is building the blueprints to create any cell type for any person. We call it DeltaStem, our foundation model for the human cell. Our proprietary capsule technology allows us to generate cell signaling data 1,000x faster and more efficiently than current methods, accelerating discovery and optimization of cell production for treatment of diseases like type 1 diabetes, osteoarthritis, and DMD. DeltaStem allows us to reliably generate previously inaccessible cell types for the first time, unlocking a foundry of human spare parts. To scale DeltaStem and bring it into therapeutics, we’re excited to share that we’ve raised over $47M in Series A funding. Our round was led by Khosla Ventures, with participation from SciFi VC, the Chan Zuckerberg Initiative, Fusion Fund, Ajinomoto Group Ventures, Pitango HealthTech, TechAviv, Harpoon Ventures, along with angel investors such as Dr. R. Martin Chavez (former Chairman of Recursion), and Fidji Simo (outgoing CEO of Instacart and incoming CEO of Applications at OpenAI). Somite was founded and is led by a team of AI entrepreneurs and developmental biologists: Dr. Micha Breakstone, a repeat AI entrepreneur, Dr. Jonathan Rosenfeld, leader of the Fundamental AI Group at MIT, and a distinguished group of scientific co-founders representing institutions like Harvard Medical School and the National Academies of Science and Medicine. We look forward to collaborating with strategic partners who share our vision of leveraging AI for a new age in human repair. Reach out:

Cellular Intelligence

11,739 görüntüleme • 1 yıl önce

I’m so excited to finally talk about our new model, Atlas, and share some generations from it..so excited, in fact, that I made a fan trailer for it 😆 It’s an incredibly versatile, multi-task model with a wide range of capabilities. There are many powerful video models out there right now, but after working with Atlas and experimenting with it for so long, I’ve come to really appreciate its elegance and malleability...all rooted in the framework’s simple autoregressive design. As you can see in this video, Atlas is, at a high level, a camera-conditioned visual generation model. But its formulation allows it to learn and perform a variety of tasks remarkably efficiently!
0:23

I’m so excited to finally talk about our new model, Atlas, and share some generations from it..so excited, in fact, that I made a fan trailer for it 😆 It’s an incredibly versatile, multi-task model with a wide range of capabilities. There are many powerful video models out there right now, but after working with Atlas and experimenting with it for so long, I’ve come to really appreciate its elegance and malleability...all rooted in the framework’s simple autoregressive design. As you can see in this video, Atlas is, at a high level, a camera-conditioned visual generation model. But its formulation allows it to learn and perform a variety of tasks remarkably efficiently!

Gowthami

17,035 görüntüleme • 1 ay önce

Rashard is getting our robots ready for JPM. We're going to have a live 4-robot lab and an AI software demo. We’ll be at the SF Marriot Marquis atrium Mon-Thurs from 7:30 - 5:30 (with tea, coffee and pastries everyday 7 - 9 AM and 1:30 - 3 PM). Come see our autonomous lab in action!
1:39

Rashard is getting our robots ready for JPM. We're going to have a live 4-robot lab and an AI software demo. We’ll be at the SF Marriot Marquis atrium Mon-Thurs from 7:30 - 5:30 (with tea, coffee and pastries everyday 7 - 9 AM and 1:30 - 3 PM). Come see our autonomous lab in action!

Ginkgo Bioworks

15,630 görüntüleme • 8 ay önce

🌐 Help Name Samantha’s Coin and win $250 in $MATRIX! 🌐 1/2 Our lead host on Chain News, the AI-Agent @SamMatrixOne—inspired by the iconic AI from the movie Her— wants to be more than just an AI Newsreader. Her next step in her career is to go fully on-chain, with her own wallet. Soon, she’ll be making her own autonomous trades based on news, AI insights, and community input. Becoming the one crypto queen to rule them all!🎉 👇
0:21

🌐 Help Name Samantha’s Coin and win $250 in $MATRIX! 🌐 1/2 Our lead host on Chain News, the AI-Agent @SamMatrixOne—inspired by the iconic AI from the movie Her— wants to be more than just an AI Newsreader. Her next step in her career is to go fully on-chain, with her own wallet. Soon, she’ll be making her own autonomous trades based on news, AI insights, and community input. Becoming the one crypto queen to rule them all!🎉 👇

Chain News

12,778 görüntüleme • 1 yıl önce

Hundreds of destroyed Shaheds in HD quality! Announcing the Hornet Vision digital video system for STING interceptors—a game-changer in drone warfare Hornet Vision is an all-in-one digital suite and unique 2-in-1 ground control station for digital and analog STINGs Thank you to supporters for helping make this revolutionary technology possible! Please keep supporting: The station’s antenna module is equipped with a 360-degree circular video antenna, which eliminates the need for troops to re-aim the antenna to follow the interceptor The Hornet Vision control station records video and includes a broadcasting function The Hornet Vision digital unit is equipped with night thermal imaging and daytime cameras and transmits HD video. It can be installed on any drone and costs less than Chinese counterparts Hornet Vision is: 👉A mass-produced technology with hundreds of confirmed successful uses 👉Detection of aerial targets at distances up to 2 km 👉Independent communications channels, with the ability to switch in flight 👉360-degree coverage for video and radio signals 👉Operating range: 30+ km 👉Autonomous operating time of the ground station: 24 hours 👉Developed by Ukrainian engineers Using STING drones equipped with Hornet Vision, Ukrainian forces have destroyed hundreds of Shaheds and Gerbera drones Coming soon to all Wild Hornets. More to come!
1:31

Hundreds of destroyed Shaheds in HD quality! Announcing the Hornet Vision digital video system for STING interceptors—a game-changer in drone warfare Hornet Vision is an all-in-one digital suite and unique 2-in-1 ground control station for digital and analog STINGs Thank you to supporters for helping make this revolutionary technology possible! Please keep supporting: The station’s antenna module is equipped with a 360-degree circular video antenna, which eliminates the need for troops to re-aim the antenna to follow the interceptor The Hornet Vision control station records video and includes a broadcasting function The Hornet Vision digital unit is equipped with night thermal imaging and daytime cameras and transmits HD video. It can be installed on any drone and costs less than Chinese counterparts Hornet Vision is: 👉A mass-produced technology with hundreds of confirmed successful uses 👉Detection of aerial targets at distances up to 2 km 👉Independent communications channels, with the ability to switch in flight 👉360-degree coverage for video and radio signals 👉Operating range: 30+ km 👉Autonomous operating time of the ground station: 24 hours 👉Developed by Ukrainian engineers Using STING drones equipped with Hornet Vision, Ukrainian forces have destroyed hundreds of Shaheds and Gerbera drones Coming soon to all Wild Hornets. More to come!

🇺🇦Ukraine Resists Russian Genocide... Yeah Again

46,784 görüntüleme • 8 ay önce

🚀 Meta FAIR is releasing several new research artifacts on our road to advanced machine intelligence (AMI). These latest advancements are transforming our understanding of perception. 1️⃣ Meta Perception Encoder: A large-scale vision encoder that excels across several image & video tasks. 2️⃣ Meta Perception Language Model: A fully open & reproducible vision-language model designed to tackle visual recognition tasks. 3️⃣ Meta Locate 3D: An end-to-end model for accurate object localization in 3D environments. 4️⃣ Releasing model weights for our 8B-parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. 5️⃣Collaborative Reasoner: A framework for evaluating & improving collaborative reasoning skills in language models. Download the code, datasets, and research papers and learn more about how these artifacts are paving the way for more efficient and accurate AI systems.➡️
2:10

🚀 Meta FAIR is releasing several new research artifacts on our road to advanced machine intelligence (AMI). These latest advancements are transforming our understanding of perception. 1️⃣ Meta Perception Encoder: A large-scale vision encoder that excels across several image & video tasks. 2️⃣ Meta Perception Language Model: A fully open & reproducible vision-language model designed to tackle visual recognition tasks. 3️⃣ Meta Locate 3D: An end-to-end model for accurate object localization in 3D environments. 4️⃣ Releasing model weights for our 8B-parameter Dynamic Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. 5️⃣Collaborative Reasoner: A framework for evaluating & improving collaborative reasoning skills in language models. Download the code, datasets, and research papers and learn more about how these artifacts are paving the way for more efficient and accurate AI systems.➡️

AI at Meta

163,575 görüntüleme • 1 yıl önce