Guessing objects by color. Effective trick and its solution

EFFECTIVE FOCUSES AND THEIR CLUES
Free library / Directory / Spectacular tricks and their clues

Guessing objects by color. Focus Secret

Spectacular tricks and their clues

Directory / Spectacular tricks and their clues

Focus Description:

The magician leaves the room. His assistant stays with the audience. Spectators guess any object in the room (you can even guess a person). The assistant knows this subject. It's called a magician. The assistant points to any objects and asks the magician: "Is this?" He answers "no", and when he points to the intended object, the magician correctly guesses it.

Focus secret:

The assistant and the magician agree in advance on any color. Let this be the color most often found in this room. For example, white. The assistant names any objects in the room. Then he names a white object (for example, a window sill). By this sign, the magician will understand that the next object will be the one that the audience has guessed.

We recommend interesting articles Section Spectacular tricks and their clues:

▪ Card curiosities

▪ Coin and ring

▪ The stick rotates on the back of the chair

See other articles Section Spectacular tricks and their clues.

Read and write useful comments on this article.

<< Back

Latest news of science and technology, new electronics:

Artificial leather for touch emulation 15.04.2024

In a modern technology world where distance is becoming increasingly commonplace, maintaining connection and a sense of closeness is important. Recent developments in artificial skin by German scientists from Saarland University represent a new era in virtual interactions. German researchers from Saarland University have developed ultra-thin films that can transmit the sensation of touch over a distance. This cutting-edge technology provides new opportunities for virtual communication, especially for those who find themselves far from their loved ones. The ultra-thin films developed by the researchers, just 50 micrometers thick, can be integrated into textiles and worn like a second skin. These films act as sensors that recognize tactile signals from mom or dad, and as actuators that transmit these movements to the baby. Parents' touch to the fabric activates sensors that react to pressure and deform the ultra-thin film. This ... >>

Petgugu Global cat litter 15.04.2024

Taking care of pets can often be a challenge, especially when it comes to keeping your home clean. A new interesting solution from the Petgugu Global startup has been presented, which will make life easier for cat owners and help them keep their home perfectly clean and tidy. Startup Petgugu Global has unveiled a unique cat toilet that can automatically flush feces, keeping your home clean and fresh. This innovative device is equipped with various smart sensors that monitor your pet's toilet activity and activate to automatically clean after use. The device connects to the sewer system and ensures efficient waste removal without the need for intervention from the owner. Additionally, the toilet has a large flushable storage capacity, making it ideal for multi-cat households. The Petgugu cat litter bowl is designed for use with water-soluble litters and offers a range of additional ... >>

The attractiveness of caring men 14.04.2024

The stereotype that women prefer "bad boys" has long been widespread. However, recent research conducted by British scientists from Monash University offers a new perspective on this issue. They looked at how women responded to men's emotional responsibility and willingness to help others. The study's findings could change our understanding of what makes men attractive to women. A study conducted by scientists from Monash University leads to new findings about men's attractiveness to women. In the experiment, women were shown photographs of men with brief stories about their behavior in various situations, including their reaction to an encounter with a homeless person. Some of the men ignored the homeless man, while others helped him, such as buying him food. A study found that men who showed empathy and kindness were more attractive to women compared to men who showed empathy and kindness. ... >>

Random news from the Archive

Intel neuromorphic nose 27.03.2020

Intel researchers, together with scientists from Cornell University, have created a kind of "electronic nose" that can remember the specific smell of a compound and chemical at a time and identify this smell with high accuracy even if it is masked by other strong smells. The "electronic nose" system is based on Intel's Loihi neuromorphic processor, and its sensitive element is a matrix of 72 chemical sensors.

The Loihi processor is programmed in such a way that its circuits mimic the neurons of the so-called olfactory bulb, the part of the brain that is responsible for smell recognition, as closely as possible. Further development of this system will make it possible in the future to create devices that can detect dangerous chemicals, hidden drugs or explosives, and, of course, make accurate medical diagnoses.

The architecture of the Loihi processor is built to closely match the work of neural circuits and more complex parts of the brain than can be achieved with conventional central processing units, even if equipped with special neuromorphic accelerators. Thanks to this, such neuromorphic processors are able to perform work that is beyond the power of traditional artificial intelligence systems. In addition, the amount of energy consumed by systems with neuromorphic processors is significantly less than the amount consumed by conventional systems that perform comparable tasks in the field of deep machine learning and self-learning.

One of the things that can be implemented on a neuromorphic processor, but is very difficult to do using traditional technologies, is the so-called one-shot learning. The human brain does this with ease, once you feel some kind of characteristic smell, the next time you will certainly recognize it. Artificial intelligence systems using neural networks require training on a huge number of examples, and the worst thing is that a previously trained neural network cannot be trained in a new category without damaging its memory of the previously learned category. To achieve the maximum result, the neural network must be completely retrained using data from all the necessary categories at once.

The next steps that the Intel and Cornell University researchers intend to take will be to make it possible to group related data (smells) into general categories. For example, the system is already able to recognize that the smell corresponds to the smell of strawberries grown in Europe or grown in California, but later it will have to indicate that both smells are the smell of strawberries.

Other interesting news:

▪ Drunk driver protection car

▪ Iron rain over a hot planet

▪ Unmanned aerial vehicles with biohull

▪ Plants grown in lunar soil

▪ Breaking the record for the length of a quantum communication line

News feed of science and technology, new electronics

Interesting materials of the Free Technical Library:

▪ section of the site Protection of electrical equipment. Article selection

▪ article by Carl Gauss. Biography of a scientist

▪ article Which animal is the longest? Detailed answer

▪ article Locksmith for the repair and maintenance of fuel equipment of cars. Standard instruction on labor protection

▪ article Triangle connection. Encyclopedia of radio electronics and electrical engineering

▪ article Microcircuits of the LM7001 series for a frequency synthesizer. Encyclopedia of radio electronics and electrical engineering

Leave your comment on this article:

All languages of this page

Home page | Library | Articles | Website map | Site Reviews