The monarch is the only butterfly known to make a two-way migration as birds do. Unlike other butterflies that can overwinter as larvae, pupae, or even as adults in some species, monarchs cannot survive the cold winters of northern climates.
Day: July 7, 2026
В Москве по обвинению в распространении так называемых фейков о российской армии арестован Кирилл Суворов, бывший советник главы Совета депутатов Красносельского округа Москвы, ныне живущего за границей оппозиционера Ильи Яшина. smarturl.click/nmmDb
“NATO member state leaders should look over the wall of the palace and see what is going on in the country. Does NATO stand for the defense of repression? Does it make the world safe for autocracy? trib.al/Foq0RpY
THE #WARS OF #AI #CHIPS
THE WARS OF AI CHIPS
Edge AI Chips Powering Drones share.gemini.google/HcFdHHUL…
Smart Drones and their brains: tiny, powerful, specialized computer chips
share.google/aimode/mmJBv1HO…
Gemini:
The brains of modern autonomous drones are powered by a specific category of silicon known as Edge AI processors.
In high-stakes environments—particularly where electronic warfare can jam GPS signals or sever remote-control uplinks—a drone cannot wait for a cloud server to tell it what to do. It must execute the entire observe, orient, decide, and act (OODA) loop locally. This requires packing massive neural-network processing power into a chip that weighs only a few grams, consumes minimal battery life, and operates without any external network connection.
THE WARS OF AI CHIPS
Edge AI Chips Powering Drones share.gemini.google/HcFdHHUL…
Smart Drones and their brains: tiny, powerful, specialized computer chips
share.google/aimode/mmJBv1HO…
Gemini:
The brains of modern autonomous drones are powered by a specific category of silicon known as Edge AI processors.
In high-stakes environments—particularly where electronic warfare can jam GPS signals or sever remote-control uplinks—a drone cannot wait for a cloud server to tell it what to do. It must execute the entire observe, orient, decide, and act (OODA) loop locally. This requires packing massive neural-network processing power into a chip that weighs only a few grams, consumes minimal battery life, and operates without any external network connection.
How Edge AI Replaces the Pilot
Traditional drones use simple microcontrollers to maintain stable flight while a human operator makes the decisions via a video feed. Autonomous systems shift that decision-making directly onto the onboard silicon through a distinct hardware pipeline:
Sensor Fusion (The Senses): Specialized data pipelines on the chip ingest high-bandwidth feeds from optical cameras, LiDAR, and infrared sensors simultaneously.
Neural Processing Units (The Brain): Instead of general-purpose CPUs, these chips feature NPUs designed specifically to accelerate matrix math. They run lightweight machine learning models (like YOLO for object detection) to instantly classify targets, map terrain, and identify obstacles.
Hardware Schedulers (The Reflexes): The chip dynamically balances computing loads, ensuring that critical flight-control commands (pitch, yaw, motor speed) are processed in under 10 milliseconds, preventing crashes even while heavy visual processing occurs in the background.
The Silicon Driving the Fleet
The hardware powering these systems is diverging based on the operational requirements of the drone—ranging from lightweight reconnaissance to heavy autonomous strike capabilities.
Processor PlatformPrimary AdvantageTarget ApplicationPower DrawNVIDIA Jetson AGX OrinMaximum parallel processing (up to 275 TOPS)High-end autonomous navigation and complex visual tracking15W – 60WEdgeCortix SAKURA-IIMilitary-grade validation and radiation resilienceAerospace, defense, and GPS-denied environmentsLowQualcomm Flight RB5Tight integration of AI compute and 5G communicationsSwarm logistics and connected multi-sensor fusionModerateHailo-8 / Hailo-10HExtreme inference efficiency (TOPS-per-watt)Ultra-lightweight, battery-constrained micro-dronesUnder 3W
The current engineering bottleneck is thermal throttling. Packing desktop-class AI inference into a sealed, weather-proof chassis requires advanced vapor-chamber cooling and heat-sink integration to prevent the silicon from melting itself during sustained operations.
Edge AI Chips Powering Drones share.gemini.google/HcFdHHUL…
The brains of modern autonomous drones are powered by a specific category of silicon known as Edge AI processors.
The brains of modern autonomous drones are powered by a specific category of silicon known as Edge AI processors.
In high-stakes environments—particularly where electronic warfare can jam GPS signals or sever remote-control uplinks—a drone cannot wait for a cloud server to tell it what to do. It must execute the entire observe, orient, decide, and act (OODA) loop locally. This requires packing massive neural-network processing power into a chip that weighs only a few grams, consumes minimal battery life, and operates without any external network connection.
How Edge AI Replaces the Pilot
Traditional drones use simple microcontrollers to maintain stable flight while a human operator makes the decisions via a video feed. Autonomous systems shift that decision-making directly onto the onboard silicon through a distinct hardware pipeline:
Sensor Fusion (The Senses): Specialized data pipelines on the chip ingest high-bandwidth feeds from optical cameras, LiDAR, and infrared sensors simultaneously.
Neural Processing Units (The Brain): Instead of general-purpose CPUs, these chips feature NPUs designed specifically to accelerate matrix math. They run lightweight machine learning models (like YOLO for object detection) to instantly classify targets, map terrain, and identify obstacles.
Hardware Schedulers (The Reflexes): The chip dynamically balances computing loads, ensuring that critical flight-control commands (pitch, yaw, motor speed) are processed in under 10 milliseconds, preventing crashes even while heavy visual processing occurs in the background.
The Silicon Driving the Fleet
The hardware powering these systems is diverging based on the operational requirements of the drone—ranging from lightweight reconnaissance to heavy autonomous strike capabilities.
Processor PlatformPrimary AdvantageTarget ApplicationPower DrawNVIDIA Jetson AGX OrinMaximum parallel processing (up to 275 TOPS)High-end autonomous navigation and complex visual tracking15W – 60WEdgeCortix SAKURA-IIMilitary-grade validation and radiation resilienceAerospace, defense, and GPS-denied environmentsLowQualcomm Flight RB5Tight integration of AI compute and 5G communicationsSwarm logistics and connected multi-sensor fusionModerateHailo-8 / Hailo-10HExtreme inference efficiency (TOPS-per-watt)Ultra-lightweight, battery-constrained micro-dronesUnder 3W
The current engineering bottleneck is thermal throttling. Packing desktop-class AI inference into a sealed, weather-proof chassis requires advanced vapor-chamber cooling and heat-sink integration to prevent the silicon from melting itself during sustained operations.
Several political groups in occupied Tskhinvali/South Ossetia joined an initiative group that endorsed the candidacy of Marat Kambolov, a de facto acting leader, to run in the so-called early “presidential vote” slated for September 18, following the resignation of Alan Gagloev on June 23.
Kambolov, a North Ossetia-born longtime Russian official, was appointed as Tskhinvali’s de facto prime minister on June 16, weeks after the signing of the so-called “Treaty on Deepening Allied Cooperation” on May 9, with the document foreseeing, among others, that “citizens” of one side “may hold state and municipal positions” in the other. Tbilisi views the treaty as another step towards Moscow’s annexation of Georgia’s occupied regions.
Following the resignation of Gagloev, the former de facto “president” who became the advisor of the Russian President Vladimir Putin on the day of his resignation, Kambolov took over his duties and is now expected to run in the September 18 “presidential elections.”
On July 2, Tskhinvali-based RES outlet reported that an initiative group formed by workers of BTK-4 factory submitted a petition to the “central election commission” endorsing Kambolov’s nomination to run in the vote, making him the first nominated “presidential” candidate.
In the following days, various local political groups and figures – including Nykhas, Edinaya Ossetia, Communist Party, Yedinstvo, joined the initiative group or publicly endorsed Kambolov’s candidacy.
According to local reports, Kambolov was present during the July 7 assembly of the initiative group that “unanimously” endorsed his candidacy and thanked the group members for the support.
The de facto election administration will run the registration of the candidates until August 24.
Also Read:
If you’re looking to elevate your wellness routine, I recommend exploring some of the top premium aromatherapy diffuser sets available. These sets feature stylish designs, advanced ultrasonic technology, adjustable mist and lighting, and include pure essential oils for a spa-like experience at home.
A minor was sentenced to 14 years and six months in prison after the Tbilisi City Court found them guilty of torture committed by an organized group motivated by intolerance, as well as organizing and participating in group violence, the Prosecutor General’s Office announced on July 7.
The sentence was automatically reduced by one-third under Georgia’s juvenile justice code, resulting in a final prison term of nine years and eight months.
The defendant, whose identity has not been disclosed, held “fascist-Nazi ideology,” the Prosecutor General’s Office said, adding that they “organized violence and torture against people whose lifestyles were deemed unacceptable by the group, including minors, and subjected victims to physical and psychological abuse.”
The charges included two counts of “torture committed by an organized group” (Article 144¹ of the Criminal Code), as well as an additional charge of committing the same offense “knowingly against a minor,” and “organizing and participating in group violence” (Article 225). The date of the defendant’s arrest has not been revealed.
Georgian police have arrested at least 15 minors in recent months, including in January and March, on allegations of involvement in “neo-Nazi” and “radical fascist” groups that physically and psychologically abused people of various ages, including minors, with “extreme cruelty.”
The broader issue of group violence involving minors has also come into focus in connection with the high-profile murder case of 28-year-old tutor Giga Avaliani. In February, prosecutors charged the three defendants in the case – who were already in pre-trial detention over Avaliani’s killing and were later convicted and sentenced to lengthy prison terms – with involvement in four additional group violence incidents.
Also Read: