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๐จ๐บ๐ธ๐ฎ๐ท The U.S. just deployed robot speedboats to the Gulf and it's about time
The Pentagon confirmed for the first time that uncrewed drone boats are patrolling the Strait of Hormuz during Operation Epic Fury.
The GARC, a 5-meter autonomous speedboat, has logged 450+ hours and 2,200 nautical miles on patrol.
These vessels can run surveillance or be used as kamikazes against Iranian fast-attack boats.
Ukraine proved the concept by crippling Russia's Black Sea Fleet with explosive drone boats reportedly costing around $250,000 each.
For context, a single Iranian anti-ship cruise missile costs millions and a U.S. destroyer runs about $2 billion.
Iran has already used sea drones to hit oil tankers twice during this war.
The U.S. was late to the game but is finally playing it.
Source: Reuters
The Pentagon confirmed for the first time that uncrewed drone boats are patrolling the Strait of Hormuz during Operation Epic Fury.
The GARC, a 5-meter autonomous speedboat, has logged 450+ hours and 2,200 nautical miles on patrol.
These vessels can run surveillance or be used as kamikazes against Iranian fast-attack boats.
Ukraine proved the concept by crippling Russia's Black Sea Fleet with explosive drone boats reportedly costing around $250,000 each.
For context, a single Iranian anti-ship cruise missile costs millions and a U.S. destroyer runs about $2 billion.
Iran has already used sea drones to hit oil tankers twice during this war.
The U.S. was late to the game but is finally playing it.
Source: Reuters
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One operator. Multiple live feeds. Total control.
Our strike deck software lets you monitor multiple drones in real time, set waypoints on the fly, select targets, and execute precision strikes, all from a single interface.
This is what scalable drone operations actually look like.
#dronedominance #cuas #droneswarm #drones #dronewarfare
swarmdefense.com
Our strike deck software lets you monitor multiple drones in real time, set waypoints on the fly, select targets, and execute precision strikes, all from a single interface.
This is what scalable drone operations actually look like.
#dronedominance #cuas #droneswarm #drones #dronewarfare
swarmdefense.com
๐จ๐ญ Global One SI - Prompt
$NOC/USD H2 #Indicator #Signal #Trading #GlobalOneAI
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"Northrop Grummanโs kinetic CUAS solution combines the Mobile-Acquisition Cueing and Effector (M-ACE) platform, Advanced Ammunition and the Bushmaster Chain Gun. Built for rapid deployment, this system is ideal for protecting high-value assets in challenging locations. Fielded and ready now, MACE and Agnostic Gun Truck (AGT) deliver an end-to-end solution across the entire kill chainโ from detection to defeat" ~ $NOC Northrop Grumman
๐จ๐ญ Global One SI - Prompt
Now about SpaceX's plans to deploy a million sats ๐ฅ ...and Jeff Bezos' claims it will take centuries With 12 Starship launches a day in a few years from now, deploying 60 sats per go SpaceX can literally deploy a million sats in under 5 years Blue Originโฆ
:Blue Origin is developing a much larger version of its New Glenn rocket โ a serious rival to Starship!Itโs called the New Glenn 9x4 because it will feature nine of the powerful BE-4 engines on the first stage and four engines on the second stage. Standing approximately 123 meters tall (roughly the same height as Starship), this super-heavy variant will boast an enormous payload fairing with an internal volume of about 820 cubic meters โ directly comparable to Starship.On paper, it will be capable of delivering at least 70 metric tons to low Earth orbit, making it ideal for launching massive satellite mega-constellations with dozens or even hundreds of satellites per flight. It will also be able to send around 20 metric tons toward the Moon on a trans-lunar injection trajectory.The first stage will be fully reusable, just like the current New Glenn design. However, there are no official details yet regarding reusability plans for the second stage.
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๐จ๐ญ Global One SI - Prompt
SpaceX: The Road to $1.5T Valuation ๐ 2002 โ SpaceX founded by Elon Musk ๐ 2008 โ First successful Falcon 1 launch ๐ 2012 โ Dragon becomes first commercial craft to reach ISS ๐ 2015 โ First successful landing of a Falcon 9 stage ๐ 2020 โ First commercialโฆ
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From Fiery Failures in 2015 to Over 500 Epic Landings in 2026 โ SpaceXโs Legendary Journey! ๐
๐จ๐ญ Global One SI - Prompt
A List of Robotics Stocks: Humanoids $TSLA Tesla $XPEV Xpeng $XIACF Xiaomi $HYMTF Hyundai Logistics $AMZN Amazon $SYM Symbotic Robotics Software $NVDA NVIDIA $PTC PTC Sensors $OUST Ouster $ARBE Arbe Robotics $MVIS MicroVision $AUR Aurora $INVZ Innovizโฆ
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HolyโฆS ๐ณ $XIACF Xiaomi's New CyberOne is so human-like
Although this update features a bionic hand, I was immediately drawn to it.
Let's look at the changes in the hand๏ผ
It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons.
Behind the performance:
>Volume cut by 60%:now almost identical in size/shape to a real human hand
>Big leap in degrees of freedom (+50% total, +83% active:22-27DOF)
>Full-palm tactile sensors over 8200 mmยฒ for precise grip even without vision
>150,000+ grip cycles durability (61-hour test)
And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation
Using tactile gloves to capture real human data, theyโre training smoother, human-like grasps with imitation and reinforcement learning.
Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots.
It seems that Xiaomi is also getting close.
Although this update features a bionic hand, I was immediately drawn to it.
Let's look at the changes in the hand๏ผ
It can handle industrial precision tasks like turning screws, plus delicate operations such as pinching feathers and throwing balloons.
Behind the performance:
>Volume cut by 60%:now almost identical in size/shape to a real human hand
>Big leap in degrees of freedom (+50% total, +83% active:22-27DOF)
>Full-palm tactile sensors over 8200 mmยฒ for precise grip even without vision
>150,000+ grip cycles durability (61-hour test)
And a major innovation:Smart bionic sweat gland cooling: evaporates water for ~10W active heat dissipation
Using tactile gloves to capture real human data, theyโre training smoother, human-like grasps with imitation and reinforcement learning.
Elon has said that humanoid hands and true AI are the most difficult aspects of building humanoid robots.
It seems that Xiaomi is also getting close.
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LimX Dynamics (้้
Dynamics), a Shenzhen-based tech firm, has teamed up with RealSense and $NVDA NVIDIA to showcase a new autonomous humanoid navigation system.Powered by depth cameras and GPU-accelerated visual SLAM, the system enables robots to localize, map, and navigate real-world environments with greater stability and awareness.
๐จ๐ญ Global One SI - Prompt
$META/USD H2 #Indicator #Signal #Trading #GlobalOneAI
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$META introduced TRIBE v2 which is a brain-response model trained on 500+ hours of fMRI data from 700+ people to predict neural responses to images, video & sound.
Meta is building something that looks increasingly like a proprietary mind map of human attention & perception.
Meta is building something that looks increasingly like a proprietary mind map of human attention & perception.
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Ready to get smoked at ping-pong by a literal humanoid? ๐๐ค
HKU MMLab just dropped SMASH, a high-dynamic bot that masters pro-level table tennis using nothing but its own onboard cameras.
Ditching external motion capture rigs, SMASH relies entirely on onboard sensors for stable, fully autonomous interaction in unpredictable outdoor settings.
This is a massive leap for embodied intelligence as it finally leaves the sterile lab and hits the pavement in the real world.
SMASH uses Motion-VAE to build a massive strike library for training efficiency and runs a task-aligned policy to nail agile smashes and low crouching shots.
Dying to test your skills against it? Do you think you'd actually win, or would this bot just wreck you on the court?
HKU MMLab just dropped SMASH, a high-dynamic bot that masters pro-level table tennis using nothing but its own onboard cameras.
Ditching external motion capture rigs, SMASH relies entirely on onboard sensors for stable, fully autonomous interaction in unpredictable outdoor settings.
This is a massive leap for embodied intelligence as it finally leaves the sterile lab and hits the pavement in the real world.
SMASH uses Motion-VAE to build a massive strike library for training efficiency and runs a task-aligned policy to nail agile smashes and low crouching shots.
Dying to test your skills against it? Do you think you'd actually win, or would this bot just wreck you on the court?
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