The Beyraktar drone makes its comeback.

   The Beyraktar drone makes its comeback. 

Above: “ A Ukrainian TB2 drone armed with precision-guided weapons.” (Eurasian Times)

At the beginning of the Ukrainian war, the Beyraktar drone was the key element in the defense. Then, Russian electronic warfare systems made that drone unable to operate, but the Beyraktar TB-2 may be back in business. The question is this: Are those Beyraktars the same that operated during the early Russian attack? There is a possibility that those drones are updated. The Beyraktar-type drones are large, and they can carry sub-drones or independent, AI-controlled kamikaze drones. 

Or those Beyraktars can have an improved ability to cooperate with drone swarms and track missile sites. And especially sites that operate fiber drones. Or maybe their mission is to search Russian ECM stations and destroy them. Those drones can also operate. In maritime patrol duties. Recently, a Beyraktar drone sank a vessel in Black Sea. 

There is a possibility that those large-sized drones can also operate as decoys or larger kamikaze drones. The purpose of those drones is to make the Russians attack it. The larger-sized drones can carry larger. And more powerful computers than small-sized drones. When we think about Beyraktars, there is a possibility that there are also jet-powered versions of that drone. Another possibility is that the larger drone will carry Beyraktar to a strike distance from the target. The Beyraktar is a system that can carry an AI-based image recognition and attack system. 

The carrier vehicle can carry that drone deep into the Russian airspace. The AI-based system. Makes it possible to select. And attack targets independently. Those drones will not need radio communication. Or GPS. They can use optical digital scene-matching area correlation. Those are terrain contour-matching systems, boosted with aided inertial navigation systems, TERCOM/TAINS, which make those systems independent. from the GPS. The system uses the landmarks and inertial to navigate to the target. 

A radioisotope thermoelectric generator, RTG, gives unlimited operational time for drones. 

And then the system can drop parasite drones near the target, and Beyraktar can make a kamikaze mission against those targets. These kinds of systems are possible. The reason why. There are so many “maybes” in this text. Is this. There must be some kind of reason. Why Ukrainians return to that old system for operational use. There is a possibility that this kind of drone also has unlimited operational capacity. 

Those drones can use electric engines and a radioisotope thermoelectric generator, RTG. The RTG gives electricity to the systems. And those systems can operate for a very long time. The Voyager space probe uses the RTG generator. Which has delivered electricity for almost 50 years. That means a propeller or blower using a drone can operate for almost unlimited time. The blower gives  a higher speed for the drone. And that kind of stealth drone can be almost invisible. Those drones. Will not leave infrared marking, and their small size helps them survive. 

https://www.eurasiantimes.com/bayraktar-tb2-drone-made-a-comeback-in-ukraine/

https://en.wikipedia.org/wiki/FP-5_Flamingo

https://en.wikipedia.org/wiki/Radioisotope_thermoelectric_generator

https://en.wikipedia.org/wiki/TERCOM

A new mysterious object has been discovered at the edge of the solar system.

   A new mysterious object has been discovered at the edge of the solar system. 

“A composite image showing the five dwarf planets recognized by the International Astronomical Union, plus the newly discovered trans-Neptunian object 2017 OF201. Credit: NASA/JPL-Caltech; image of 2017 OF201: Sihao Cheng et al.” (ScitechDaily, Astronomers Discover Mysterious New World at Edge of the Solar System

The JWST telescope discovered a mysterious object, designated 2017 OF201, at the edge of the solar system. That object is one of the so-called trans-Neptunian objects, TNOs. That opens new paths to discover new planets and dwarf planets in our solar system. The 2017 OF201 is the dwarf planets. These are introduced in the image. Above this text. 

Most of those dwarf planets are found in the Kuiper Belt, and only Ceres is in the asteroid belt. That means there can be many dwarf planets hiding in the Kuiper Belt. And that is one of the most interesting questions about dwarf planets. Why are there no dwarf planets in the inner solar system? The dwarf planets are interesting because some of them might have formed as moons of planets. And maybe. Some dwarf planets have been part of larger planets. Those were destroyed in cosmic collisions. 

Most of those dwarf planets are in the Kuiper Belt. That raises the idea that maybe some of those small objects are from other solar systems. Maybe some of those small worlds have been some kind of rogue worlds that slipped away from some red dwarf system, or maybe some nova or supernova threw some of those dwarf planets out of their orbits. Or maybe those things were Uranus’s or Neptune’s moons that some cosmic catastrophe threw out from their orbit. 

The gravity effect that comes from some planets, or some kind of particle beam. Or asteroid impacts can cause an effect. Those small moons that are at a long distance from their planet just go out of their trajectories. The interesting detail in those dwarf planets is that Haumea. Which looks like an egg. It is larger than the ball-shaped Ceres. The shape of Haumea tells. that it has been fast-spinning when it formed. The fast spinning movement stretched that dwarf planet, or there must be some internal effect, like some kind of beam. that stretched that dwarf planet into shape as we see it. 

https://scitechdaily.com/astronomers-discover-mysterious-new-world-at-edge-of-the-solar-system/

A company is always as good as its workers.

   A company is always as good as its workers. 

We can react to change only if we recognize what changes. We don’t have to make a comprehensive response. That goes through the entire company. in every case. We must find the way. How to respond to that new situation effectively and economically. In the changes of data directives, the change will touch information management. That means people who work on assembly lines don’t have to react to those kinds of things. If the reaction is wrong, the damage can be huge. 

The reaction to change must be. 

1) Effective

2) Economical

3) Sustainability. 

4) Legal. 

5) Respect nature. 

6) Respect values. 

7) Follow the environmental needs. 

The company cannot make better products than its employees can. 

Workers are the company. Their skills make the company’s products. Without products. The company faces bankruptcy. The worker must develop their skills so that they and the company can respond to challenges that a changing environment and business ecosystem form. The business ecosystem can face changes. That form when things like building materials change. When bricks turn into concrete elements. That means the brick factory must change its products. It must start to create other ceramic products. 

Another way is to search for and expand a new marketing environment. The third way is to close the factory or reduce production and kick out workers. Or, the company faces bankruptcy. The problem is that products are as good as the worker’s skills. If the company leaders kick workers out. The factory’s ability to respond to new orders decreases. The answer is that robotics is a thing that can give answers. The company must find out. Does it have the skills to make these types of projects? 

The company can get those skills in three ways. 

1) The company can hire people who have those skills. 

2) The company can order a course to get those skills. 

3) The company can give orders that every worker must go to the library, and then find the information about the new thing. 

There is a famous so-called 10-20-70 model of company learning method. 

10% is official courses

20% is learning in teams

70% is self-directed learning. 

In all those cases, some kind of test can be a useful tool to make sure. That people really have the skills. That they need, or they claim. That they have. 

There are some problems with the last two cases. The problem is how to make sure. People who use self-directed learning really know those things. That they should know. Another problem is. How to make people share their knowledge in the team. People think that their skills are capital, which guarantees their workplace. That means people can hide their knowledge. They might think. If they hide something. That is important. That raises their value. This is one of the reasons why things like AI projects can fail. 

The failure can be caused. Because people don’t share their information. They don’t want to help their competitors. And that is one of the biggest problems with the working environment. Workers must have certain skills to make products that the company sells. Without those skills, the work is undone. 

When we face the need for change, we face the effect. That comes from the outside environment. Those changes can be legislative. Or they can be technical, or some other things. Like war causes situations. That companies must change. So that they can adapt to the changing environment and its challenges. The change can reshape a customer’s relationship. Or it can reshape the manufacturing lines. Or it can be reshaped into information management. The control team must find a way. To solve or respond to the problem. The fact is that outsourcing some solutions is a good choice. The company must not keep or recruit all the needed personnel itself. But outsourcing requires money. And it can cause a situation where all people who worked with that thing go to other companies. 

When a company makes a list of needed changes. The list must not be too long. That the people who work with those things have time for deep analysis. Of things. That requires changes. If the list is too long, that means the analysis turns too superficial. The central business is the focus of that operation. But then. We must understand that if we outsource something. We must have money. For that thing. Outsourcing the need doesn’t mean that the need is gone. 

The problem with AI is this: It’s not intelligent.

    The problem with AI is this: It’s not intelligent. 

"Opaque AI systems risk undermining human rights and dignity. Global cooperation is needed to ensure protection." (ScitechDaily, “AI Is Not Intelligent at All” – Expert Warns of Worldwide Threat to Human Dignity)

The AI is not as intelligent as we know intelligence. The AI utilizes specific parameters to gather information. If AI collects information about a person, it might use things like photographs. And it recognizes that object. Then it searches texts that are written or films that are connected to that image. Then it creates a data matrix about that person. The problem with that is this. The AI doesn’t actually know. Do those texts and other data have any connections with a real person? 

The AI is a tool that can connect data from multiple sources. And it can make many impressive things. But AI doesn’t know. Does the person really have a connection with the data that AI uses? This is the problem with the AI. The AI connects data and makes medians, and then it creates a summary about that text. An interesting thing about AI is that. Every single data unit can be introduced as a numeric value. We can give as an example a ca value of 6. Or something like that. 

This makes the system easier for programmers because numeric data is easier to handle. But the problem is that. AI doesn't have a natural ability to be suspicious of data. That it uses. This means the AI is easy to cheat. The AI can have prohibitions that prevent users from using the AI for certain types of purposes. But the problem is that the AI programmers and engineers are not always experts in law. Another problem is this: what if  the AI software order comes outside the EU region? 

The programmer can operate using remote connections. That means the person who orders software might be different from the person whose name is in the paper. This means the real customers can sit far away from the person who is marked as a customer. The problem with algorithms is this. Things like malware are easy to make using the AI. And there are lots of actors like China and North Korea who want to create AI to control their society. 

Those actors have no limits for recruiting programmers to create AI that can generate spy programs. People forget this aspect too often. They think that the entire world is like the EU, where people follow the same rules. We forget that the Internet allows spies to operate from thousands of kilometers away from their target. The spy who operates for Chinese intelligence can sit in an office and use the internet and virtual spying tools to steal secrets. 

https://scitechdaily.com/ai-is-not-intelligent-at-all-expert-warns-of-worldwide-threat-to-human-dignity/

Ukrainian new Flamingo missile can change, something.

   Ukrainian new Flamingo missile can change, something. 

Ukrainian new FP-5 Flamingo missile has a range of approximately 3000 kilometers. That means it's capable of long-range strikes against Russian targets. The Flamingo missile made its tribute and destroyed the FSB station in the Crimean area. The missile itself uses a GPS/GNSS navigation. With inertial, INS backup. That means the system is immune to the jammers. The ability to make long-range strikes means that Ukraine can cause damage and pose a threat to large areas in Russia. And that means the Flamingo is the thing that can cause very bad damage to the Russian military industry. 

The missile range is long enough to reach Moscow and many other important targets. The thing that makes Flamingo important is that the system decreases Ukraine's addiction to Western weapons. This missile can fly without the GPS if the system knows the position. Where the missile is launched. The operation can be made using the missile’s INS navigation. The system can also use AI-based target recognition. And that means the system is highly independent. The fact is that the large-sized target drones are easy to transform. Into missiles. 

Geran 3 drone. 

"The center of the circle is not on the frontline and its not either very far west in Ukraine either. Even some larger cities and or factories east of the Urals Mountains are in range." (Reddit)

The new tools, AI-controlled, like visual image or Lidar-scanner-based terrain contour matching TERCOM systems, connected to inertia, make drones independent of GPS. Those systems can also make it possible. To create new types of precisely attacking drones. That can even ambush jet fighters and helicopters from the air.  When a jet fighter turns against a drone swarm, some of those drones turn to attack that fighter. 

Russian jet-engined Geran 3 Kamikaze drones are causing trouble for Ukrainian air defense. Those drones are too fast for helicopters but “too slow” to manned jet fighters. The main problem with drone defense is that. Those drones can fly in large swarms. That means those jet fighters might face a situation where they have enough ammunition to destroy all those drones. 

Another problem is that those drones could change their targets. The advanced AI makes those drones more lethal, and the next-generation drones can have an AI-based imaging infrared systems that allow them to attack jet fighters and helicopters. Drone swarms can attack as one entity. The problem is that AI-controlled drones can already be a reality. The AI-controlled drones can make ambushes against defending fighters and helicopters. The AI itself is cheap when the algorithm is ready. 

https://www.aerotime.aero/articles/flamingo-missiles-strike-fsb-base-crimea

https://www.defensemirror.com/news/39493/Russia_s_Geran_3_Jet_Powered_Kamikaze_Drone_Ready_for_Operations

https://www.ir-ia.com/Ukraine-Flamingo-FP5-Cruise-Missile.html

https://sfg.media/en/a/ukraine-flamingo-missile-claims-doubts/

https://en.wikipedia.org/wiki/Flamingo_(missile)

https://en.wikipedia.org/wiki/Global_Positioning_System

https://en.wikipedia.org/wiki/HESA_Shahed_136

https://en.wikipedia.org/wiki/Inertial_navigation_system

https://en.wikipedia.org/wiki/Satellite_navigation

https://en.wikipedia.org/wiki/TERCOM