Visions of bright future

"A new technology using DNA for data storage and computing has been unveiled by researchers from NC State and Johns Hopkins. This innovative approach includes creating dendricolloids to enhance data density and storage life, paving the way for molecular computing’s future. (Artist’s concept.) Credit: SciTechDaily.com" (ScitechDaily, The Next Frontier: DNA Emerges as a Powerhouse for Data Storage and Computing) The new bacterial repair injuries. This new bacteria gel is a tool that can make it possible to make new types of treatment. When we think of bacteria that can turn into another cell in the right position, that bacteria is one thing that is possible to create using modern biotechnology. The system must connect two DNA molecules into a new entirety. This kind of bacteria can travel to the right point, and then the food can act as a trigger that activates the second DNA.  That thing transforms the cell into another Or wait for the cell to read DNA in the connection point

The AI doesn't lie. But it can give false information.  Telling lies requires knowledge that information is false. That's why computers don't lie. But they can give false information.  The AI doesn't think. That means the AI doesn't tell lies. Telling lies requires knowledge that information is a lie. The AI can give false information. But it doesn't tell lies, because the AI makes only things that are programmed in it. AI is a tool, and the thing that tells lies is human who uses AI.  AI is perfect for the well-documented sector. But if the documents are not good, the AI can make false answers. The AI doesn't think as we think. That means the AI cannot lie as we do. It can give false or inaccurate information if the data that it uses is inaccurate, or wrong. But telling lies requires that the AI knows that it lies.  AI has no similar awareness as humans. The AI doesn't do anything outside its programming. The AI is like a dog. It's dangerous if it i

"Artist's logarithmic scale conception of the observable universe. The Solar System gives way to the Milky Way, which gives way to nearby galaxies which then give way to the large-scale structure and the hot, dense plasma of the Big Bang at the outskirts. Each line-of-sight that we can observe contains all of these epochs, but the quest for the most distant observed object will not be complete until we've mapped out the entire Universe." (BigThink, How far away are we from the location of the Big Bang?) The term proto-universe means the material and energy singularity where time and material are together. That proto-universe existed in total emptiness. In theories, that point was like a yarn ball. The object was a superstring ball. The entropy was minimal in that system. But then something made the space in the proto-universe or the semen of the universe.  In some models. That object just collapsed. It started to send radiation into total emptiness. That radiation pul

"A new AI model from the University of South Australia offers a faster, more cost-effective method for schools to assess student creativity. The model significantly reduces the time and cost of scoring creativity tests, helping to identify talented students who might otherwise be overlooked." (ScitechDaily,The AI Paradox: Building Creativity To Protect Against AI) The paradox is interesting. In the model, where we create creativity to protect us against AI, we forget one thing. AI is a tool like a screwdriver. The AI itself is not good, or it's not bad. Its users are people. And people decide what the AI does. The problem is that people who want to make things like computer viruses and use AI-based applications for industrial spying and sabotage are responsible for that action.  The generative AI or large language models can create spying tools and another kind of "black stuff". The power of the AI is that it creates many things faster than humans. And when it h

"Sandia National Laboratories’ four-channel, silicon photonic single-sideband modulator chip, measuring 8 millimeters on each side and marked with a green Sandia thunderbird logo, sits inside packaging that incorporates optical fibers, wire bonds, and ceramic pins. Credit: Craig Fritz, Sandia National Laboratories" (ScitechDaily, Revolutionary Quantum Compass Could Soon Make GPS-Free Navigation a Reality) New motion sensors and other quantum systems open the road to GPS-free navigation. The motion sensor senses movements. That tool is in every VR headset and smartphone. The motion sensor can be the tool that makes GPS-free navigation possible. The system must sense the movements, their direction, and length with a pretty good accuracy. But if that is well done.  The motion sensor-based navigation system requires four things. The beginning point The speed of the vehicle. And the directions of the motions.  And how long the motion lasts.  Then it can use the clock and other dat

The new data centers require lots of energy and space. This is why new data centers might be even at the orbital trajectory. The orbital data centers might be satellites, that use cloud-based architecture. In that system, satellites are connected into one entirety. Those satellites share their computer's power with other cloud members and form the data-handling systems that can act as one entirety. In those systems, each satellite can have its solar panels. Solar panels deliver energy to many satellites at orbiter.  Those satellites must be far enough from Earth. That protects them against things, like anti-satellite-ASAT weapons and other attempts to disturb the cloud actions. The satellite data centers must be protected against things like ECM-based affecting. The system should use satellite communication and it must have the ability to protect itself against things like kinetic energy ASAT weapons and radio-wave-based jammer systems.  The plasma shield and magnetic fields can pr

  "Scientists have achieved a significant breakthrough in nanoscale optoelectronics, enabling precise control over single-molecule switching using localized surface plasmons. This development opens new possibilities for creating more efficient and adaptable nano-devices, potentially transforming technology sectors such as sensors and energy systems. Credit: FHI, edited" (ScitechDaily, Atomic Control Unleashes New Era in Single-Molecule Optoelectronics) Nano-size optical systems called microlensing allow the focus of information very accurately selected points. Microlensing allows create of single-atom mass memories. Those mass memories allow researchers to create new and more independently operating nanomachines.  Mass memories with atom-size accuracy are tools that improve the AI and large language model, LLM's operations. Those systems require large-scale mass memories that can interconnect memory pixels into new entireties.  That makes it possible to aim information in

"MIT researchers have created an AI navigation method that utilizes language to guide robots, employing a large language model to process textual descriptions of visual scenes and generate navigation steps, simplifying the training process and enhancing adaptability to different environments." (ScitechDaily, From Text to Trajectory: How MIT’s AI Masters Language-Guided Navigation) The new language model makes a revolution in robotics. All of us know, the AI-based image creation systems that turn texts into images. The user must only write descriptions for the AI, and then the AI makes images following those descriptions.  MIT's new language model goes one step ahead. The AI turns the descriptions into the physical robot's actions. This thing means that AI-controlled robots can clean houses and make many things, just by following instructions. These kinds of robots are the next-generation tools for many things like housekeeping, and cleaning, and of course, the same ro

When we discuss things like some particles immortal, we face a thing called time dilation. When the particle's speed rises high enough, or the particle is in a strong gravity field. It slows its aging. A strong gravity field just causes the curvature in spacetime. And that curvature forms a pothole that packs quantum fields around the gravity center. This thing raises the energy level in the particle's environment. And that will slow the quantum vaporization.   So to turn immortal, the particle must create energy stability. That means energy that a particle must get so much energy from its environment as it releases. The only known particle that reaches the thing condition is the photon. Other particles cannot reach the speed of light, because there is something, that has a connection with mass, that makes energy flow out from the particle.  In some models, the particle cannot reach the speed of light, because energy travels into it from a quantum field, or, a Higgs field canno

"By firing a pulse of light at a semi-transparent/semi-reflective thin medium, researchers can measure the time it must take for these photons to tunnel through the barrier to the other side. Although the step of tunneling itself may be instantaneous, the traveling particles are still limited by the speed of light. By taking high-speed images of this light pulse, we can construct a movie that appears continuous." (BigThink, Is it true that photons truly live forever?) That image shows how part of the photon reflects from the medium. That means the photon loses part of its energy. And the last part of it tunnels through the wall.  Photons are forever if we think about the information. That they involve cannot vanish. If a photon hits the wall, its information jumps to the wall. Photons can tunnel through the potential wall. When a photon travels through a wall, energy travels into it. That causes the effect. That photon seems to cross the speed of light.  Photons don't tur

The AI or large language models LLMs cannot turn rebellious. That means that the AI doomsday myth debunked. The reason for that is this: the LLM cannot think of abstraction. AI, or the LLM. Which is the user interface. Between the user, and the AI cannot think as we think. The AI cannot make anything spontaneous without outcoming orders or instructions. When AI reacts to physical stimulus, there is the database or database group that involves descriptions of some situations.  When the AI sees. If the database involvement matches with something, the database activates another database. That involves reactions to how the AI responds to that situation. But the AI cannot think of abstractions and we can say that the AI cannot rebel because it doesn't have imagination.  When we order the AI to make some calculations, it's the ultimate tool. The system can make calculations and apply complicated formulas to that process. But then we face a situation where the AI requires some new for

Einstein's model is that around all gravitational centers is spacetime curvature. The curvature is not a cone. It looks a little bit like a stretching funnel. The gravitational fields look like they condense around the objects. That means the strength of the gravity turns stronger near the gravity centers.  So the thing called a straight universe is impossible. In the same way, we cannot ever solve an object's problem. All objects in the universe are unique. There are no two identical three-object systems, existing in a fully identical environment in the entire universe.  In the young universe, the universe was different than it is now. Energy is packed into a form. That was like a hill or mountain in the middle of nothing. That energy hill expanded and that thing formed the cosmic inflation. Radiation is like strings and when the distance between strings grows, that forms space in the system. And that space formed entropy. The Big Bang model means that before the Big Bang, the

"Generative AI’s reliance on extensive data has led to the use of synthetic data, which Rice University research shows can cause a feedback loop that degrades model quality over time. This process, called ‘Model Autophagy Disorder’, results in models that produce increasingly distorted outputs, highlighting the necessity for fresh data to maintain AI quality and diversity. Credit: SciTechDaily ((ScitechDaily, Could AI Eat Itself to Death? Synthetic Data Could Lead To “Model Collapse”) When we create new models for large language models, LLMs, we teach them.  When AI learns something, it makes a new database. The databases involve data, that can be fresh. Or it can be the new application for the old data. So connections between databases allow the system to connect databases into the new entirety. The AI and Large Language Model, LLM require lots of data.  That they learn to operate as they should. There are lots of limitations to data that developers can take from the network. And

  The new materials make new types of computers and robots possible. The next-generation material called MnBi2Te4 is the tool that revolutionizes quantum and optical memories. In quantum systems, the system can make quantum entanglement between the quantum dots on that material. But optical memories are an even more interesting tool. That can use MnBi2Te4.  Optical memories use lasers or photons to transport data to the computer's memories. The idea is that the optical systems don't disturb nanotechnology. Nano-size processors are tools that require very low turbulence levels. So that they can operate as they should. The small size makes those nanotechnical systems very sensitive. Even a small error like overvoltage in the system causes a situation in which electricity jumps over the switch. And that causes fatal errors in the computer.  "Researchers have developed a technique for printing thin metal oxide films at room temperature, and demonstrated the technique by printi

  The lone star CWISE J124909+362116.0 (or “J1249+36” for short) travels in the universe with extraordinary speed. This star may have been a member of the binary star system.  Astronomers suspect that the companion star in the system exploded as a supernova. This explosion drove the CWISE J124909+362116.0 to travel through the universe with extraordinary speed.  But that thing is not the only model, that could explain the fast-travelling star.  Sometimes red dwarfs face the events that cause so-called super flare. Those superflares can act like rocket engines and change the red dwarf's trajectories. Also if the energy burst hits to star's atmosphere that can cause an energy impulse, that pushes the red dwarf into another trajectory.  Red dwarfs are quite light objects and impacts with things like super Jupiters can also change a lonely red dwarf's trajectory. Cosmos is a strange place and there are lots of things that can affect red dwarfs. Things like gravity and other thi

 Could Perseverance samples hold evidence of ancient Martian life?  The fact is that. Proving the existence of those life forms is difficult. The thing that Perseverance found is a structure that looks like stoned remnants of some kind of cyanobacteria. Proving the biological origin of those structures is not very easy. The fact is that there are some kind of holes on the stones, that might involve evidence of the Martian lifeforms. Or they prove that some probes are not properly sterilized.  Another thing is that there could be liquid water deep inside the Martian shell. That thing means maybe some kind of primitive lifeforms exist on the red planet. If there are some life forms deep underground, those life forms might not stand UV radiation. But those things require lots of more data.  The intelligent planet model is one of the most radical theories about intelligent lifeforms.  So, lifeforms, intelligent lifeforms, and technically advanced lifeforms are not the same thing. In some v