Betelgeuse, Alpha Orionis, is a binary star.

"Using the NASA-NSF-funded ‘Alopeke instrument on the Gemini North telescope, one half of the International Gemini Observatory, partly funded by the U.S. National Science Foundation (NSF) and operated by NSF NOIRLab, astronomers have discovered a companion star in an incredibly tight orbit around Betelgeuse. This discovery answers the millennia-old question of why this famous star experiences a roughly six-year-long periodic change in its brightness, and provides insight into the physical mechanisms behind other variable red supergiants. Credit: International Gemini Observatory/NOIRLab/NSF/AURA Image Processing: M. Zamani (NSF NOIRLab)" (ScitechDaily, After Decades of Searching, Astronomers Finally Spot Betelgeuse’s Elusive Companion Star)

The explanation for the strange changes in the famous red giant Betelgeuse's brightness has been solved. So, Betelgeuse is a binary star. That is the companion star. That star is quite bright, an A or B-type star. And that thing causes interesting theorems. What can we find around the well-known objects if we have new, more sensitive systems? New systems found things like a planetary system near Barnard's star. That means. We should remap also well-known stellar systems to find new interesting objects. 

The breakthrough is the well-known, elusive partner star of Betelgeuse, the giant red star. That means one of the most well-known objects in the universe has a hidden partner. That elusive partner has recently been found. Betelgeuse's brightness has covered that elusive partner under it. And the most modern tools needed to find that elusive star. The elusive partner star's life will not be long. The massive tidal forces of Betelgeuse can destroy that star in under 10000 years. 

"Astronomers have discovered a tightly orbiting companion star to Betelgeuse. This finding explains the star’s six-year brightness cycle and offers new insights into the behavior of other variable red supergiants. Credit: International Gemini Observatory/NOIRLab/NSF/AURA Image Processing: M. Zamani (NSF NOIRLab)" (ScitechDaily, After Decades of Searching, Astronomers Finally Spot Betelgeuse’s Elusive Companion Star)

Stellar spectral classification. 

Maybe Betelgeuse trapped another star in its gravitational field. The Betelgeuse companion star is an A or B-type pre-main-sequence star. That means it was not born at the same time as Betelgeuse. The mass of that companion star is about 1,5 times that of the Sun. That companion star is not a dim object like a red dwarf. Maybe it's far dimmer than Betelgeuse, but it's brighter than the Sun. And that raises the question of what other objects are lurking in the universe?

The thing that makes this finding interesting and important is that. The new equipment gives new data from well-known objects. And that thing means that there are no "certain" things in the research. And that means there can be surprises also from well-known objects. There are many things. That disturbs observations. One of those things is the plasma bubble around our solar system. That very high temperature impact- plasma forms when the solar wind impacts particles from other stars. That plasma can disturb IR systems. And it can close some radio frequencies out from our solar system. 

https://earthsky.org/space/companion-for-betelgeuse-confirmed-famous-binaries/

https://scitechdaily.com/after-decades-of-searching-astronomers-finally-spot-betelgeuses-elusive-companion-star/

https://www.space.com/astronomy/astronomers-crack-1-000-year-old-betelgeuse-mystery-with-1st-ever-sighting-of-secret-companion-photo-video

https://www.astronomy.com/science/three-new-planets-found-around-barnards-star/

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

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

https://thatsthenatureoftime.blogspot.com/

Chinese new stealth fighters cause worries.

Chinese new stealth fighters Shenyang J-35 and Chengdu J-20 worry for Western air forces. The problem is that the J-35 A looks similar to the F-35. The stealth aircraft are highly advanced weapons. Most of the data is used in those planes. And their development is highly classified. The thing that something looks like stealth doesn't mean that the stealth technology is successfully operating. 

But the sad fact is that. Everything is open. Before those fighters faced the Western fighters. Those aircraft might lose to the F-35 or F-22, but they could be effective against elder Western fighters. That means those aircraft are a threat to the U.S. and its allies' dominance in highly advanced military systems. The thing is that the drone swarms are not alone in the answer to threats. Drone swarms are one of the new weapons.

Above: Chengdu J-20

Above: Shenyang J-35

 However, the future is the hybrid solution where jet fighters or high-speed strategic bombers can cooperate with manned and unmanned systems. The jetfighters can drop drones or drone swarms into their operational areas.

The race between systems and counter-systems is endless. The ultimate system faces ultimate counter systems. The F-117 was once invincible, But then time went past them. The new solutions were more effective than the primitive solutions in F-117. 

They can prowl on aircraft when they come home from the mission and detonate their explosives on the wings. Or they can observe the strike. The problem is that EMP weapons can destroy those drones. 

Those drones can search the targets for cruise missiles and maybe they can destroy things like command links and why not bigger targets? The thing is that the Chinese and Russians are learning the lessons from the Ukraine war. And that means there are lots of systems that are developed in those countries. 

The future of the battlefield is one of the hardest-predicted things in the world. The military world is changing extremely fast. And things like AI and other things are coming to make their advancement to every system in the world. 

https://en.wikipedia.org/wiki/Chengdu_J-20

https://en.wikipedia.org/wiki/Shenyang_J-35

The AI requires a new processor architecture.

The AI participates in new microchip development. New large language models, LLM, require a new microchip architecture that can drive and handle bigger data masses. When the AI drives a large data mass, the AI compiles the input data with databases. There are descriptions of how the AI should react to some situations. If details or parameters match with some database, that database begins a reaction. 

The problem is that things like machine view require that the system analyze lots of data in a short moment. If the system has a neural network in use, it can share data with lots of computers. Image 2 is the neural network model and every single point between lines can be the independently operating microchip. The problem with a 2D neural network is that the data begins to travel from machine view through the system. In this linear model, the system shares data with processors one after one. 

That a kind of linear model. Where data travels in a system like a wave. That system is quite slow if it controls things like robots on the streets. The need to drive and control large non-sorted, uncertain data mass requires new system architecture. The system should emulate human brains so that it becomes really effective. 

Image 2. Diagram of the neural network. 

The term "machine eye" means the input tool. That drives data to the system.  In a quantum neural network, the machine eye's place is over the system. And it can drive data to multiple actors at the same time. 

Then the delivery system shares the same data at the same time to multiple microprocessors. That means the neural network can start to drive all its databases at the same time. 

Image 3. Diagram of the multicore processor where each box is an independent microprocessor. 

The neural network will not stuck, because if there is no match between the input and the description, the database and its control system will crush the input. Modern microchips can have internal multicore architecture. Image 3 is a diagram of that multicore system that looks like a monolithic core. But inside the monolith is multiple microchips. 

That architecture means that the microchip is actually a neural network. The internal network in the microchip means that the microprocessor involves multiple microprocessors. Each processor can operate as an independent microprocessor. Or they can combine their force into one entirety. These kinds of processors can revolutionize nanotechnology and things like drone swarms.