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650 fun brain teasers

At leisure / funny puzzles

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Random funny trick question:

What does zero say to eight?

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When the goat is seven years old, what will happen next?

When a chicken stands on one leg, it weighs 2 kg. How much will she weigh if she stands up on two legs?

When is the forest an appetizer?

When a horse is bought, what is it like?

When is a boy called by a woman's name?

When the car is driving, which wheel does it not spin?

When is a man called by a woman's name?

When we look at the number 2 and say 10?

When are hands pronouns?

When is a gardener a traitor to the motherland?

When can the net pull out the water?

When is the day shorter: winter or summer?

When does a person have as many eyes as there are days in a year?

When is a person in a room without a head?

When is a person a tree?

When is the best time for a black cat to sneak into a house?

Who does a mere mortal see every day, a king very rarely, and God never?

Cow - 2, cat - 3, sheep - 2, cuckoo - 4, rooster - 8, dog - 3, donkey -?

Around the water, and in the middle of the law. What it is?

The roof of one house is not symmetrical: one slope makes an angle of 60 degrees with the horizontal, the other angle is 70 degrees. Suppose a rooster lays an egg on the ridge of a roof. In which direction will the egg fall: towards a more gentle or steep slope?

Who can't do without something?

Who speaks all languages?

Who has a horn but never blows it?

Who is the master of all trades?

Who doesn't get their hair wet in the pouring rain?

Who under Catherine II went upside down?

Who sleeps in shoes?

Who is a donkey?

Who walks sitting?

Who is this - small, lives in the earth, begins with "Sch"?

Who, when flying, screaming, waving its claws?

Where does the chicken go when crossing the road?

The merchant bought 10 ducks for 2 rubles. Why did each go?

There are 3 apples, you took two. How many apples do you have?

A naked dead man lies in the desert. He has a broken match in his hand. How did he get there, why is he naked and why is there a match in his hand?

A hippo flew across the sky, and a hunter with a gun ran after him on the ground. The hunter fired, and the hippo fell on him. Who is left alive?

A flock of geese flew. One goose in front and two behind. One behind and two in front, one between two and three in a row. How many were there?

A flock of ducks flew. One in front, two behind; one behind and two in front; one between two and three in a row. How many ducks flew?

A flock was flying, not at all big. How many birds and what kind?

Three ostriches flew. The hunter killed one. How many ostriches are left?

Better than God, Worse than the Devil, The poor have it, The rich don't, If you eat, you die. What's this?

Small, gray, like an elephant. Who?

The boy kicked the ball. And the ball itself returned to the boy. How is this possible?

The boy fell from 4 steps and broke his leg. How many legs will a boy break if he falls off 40 steps?

Marina dreamed of a chocolate bar, but she lacked 10 rubles to buy it. Vasya also dreamed of a chocolate bar, but he lacked only 1 ruble. The children decided to buy at least one chocolate bar for two, but they still lacked 1 ruble. What is the cost of chocolate?

Can there be eggs on an apple tree?

Can it rain two days in a row?

Can an ostrich call itself a bird?

Can a man marry his widow's sister?

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Latest news of science and technology, new electronics:

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Agriculture is one of the key sectors of the economy, and pest control is an integral part of this process. A team of scientists from the Indian Council of Agricultural Research-Central Potato Research Institute (ICAR-CPRI), Shimla, has come up with an innovative solution to this problem - a wind-powered insect air trap. This device addresses the shortcomings of traditional pest control methods by providing real-time insect population data. The trap is powered entirely by wind energy, making it an environmentally friendly solution that requires no power. Its unique design allows monitoring of both harmful and beneficial insects, providing a complete overview of the population in any agricultural area. “By assessing target pests at the right time, we can take necessary measures to control both pests and diseases,” says Kapil ... >>

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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.

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