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Nvidia showed training of neural networks on a small dataset Nvidia showed training of neural networks on a small dataset

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Nvidia Shown Training Neural Networks on a Small Data Set

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At Nvidia Research presented an artificial intelligence model that uses a limited set of data to train generative neural networks and is capable of emulating famous artists.

The new training technique was applied to the StyleGAN2 model. She was trained on less than 1,500 images from the Metropolitan Museum of Art. Using DGX systems to accelerate learning, the model created its own pictures.

A technique called Adaptive Discriminator Extension, or ADA, reduces the number of training images by a factor of 10 to 20 while providing good results.

Like most neural networks, GANs followed a basic principle: the more training data, the better the model. Typically, training them requires 50 to 100 thousand images. But in many cases, researchers simply do not have such a base at their disposal. Artificially augmenting the training dataset with distorted copies of existing images causes the GAN to simulate these distortions rather than creating believable synthetic images.

The ADA method adaptively applies data padding. This means that the amount of augmented data is adjusted at different stages of the learning process to avoid overfitting the GAN.

This method can be applied not only in art but also in healthcare, for example, by creating histological images of cancer to train artificial intelligence models.
“This means that people can use the GAN to solve problems when huge amounts of data take too much time or effort to explore,” said David Lübcke, vice president of graphics research.

Researchers have already pay attention to the fact that it is more difficult to reveal the potential of AI in the medical field. As a rule, there is not enough training data, and there is also a risk of disclosing confidential information if work is carried out, for example, with medical records. Nvidia says the new training method will preserve privacy.

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Dmitry Rogozin announced the start of mass production of Sarmat ICBMs

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Dmitry Rogozin announced the start of mass production of Sarmat

The head of Roskosmos, Dmitry Rogozin, spoke about the start of serial production of Sarmat intercontinental ballistic missiles. The first copies will be given to one of the regiments of the Uzhur missile formation, which is deployed in the Krasnoyarsk Territory until the end of the year.

Dmitry Rogozin announced the start of mass production of Sarmat ICBMs

According to Rogozin, the state corporation is also preparing for the second launch of the Sarmat intercontinental ballistic missile. Work is said to be on schedule.

We are on schedule, we are preparing for the second flight test of the Sarmat, where the requirements for this machine will be increased at certain points agreed with our customer – the Ministry of Defense“, – said the head of Roskosmos.

The first launch of Sarmat was carried out from the Plesetsk cosmodrome in the Arkhangelsk region on April 20, it was successful at all stages of the flight.

Earlier it was reported that Sarmat could be equipped with Avangard hypersonic units.

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Solar-powered bitcoin farm launched in the US

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Solar powered bitcoin farm launched in the US

Aspen Creek Digital Corporation (“ACDC”) has announced the launch of its first bitcoin mining facility. We are talking about a high-performance computing center with a capacity of 6 MW, equipped with a solar farm with a capacity of 10 MW.

Solar-powered bitcoin farm launched in the US

The company’s first hosting client was Galaxy Digital.

“Recent market volatility has demonstrated the importance of our core strategy: power control as a major contributor to bitcoin mining,” said ACDC CEO Alexandra DaCosta.

ACDC uses S19 generation miners for mining in a data center in Colorado. Adjacent to the facility is a 75,000 square foot R&D and execution center.

The second ACDC facility will be a 30 MW data center capable of accommodating 10,000 ASIC miners. This data center will be combined with an 87 MW solar power plant, which will be commissioned this summer.

The third project that ACDC is working on is a 150 MW data center that will work in conjunction with a 200 MW solar farm.

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Electric Cars

Official: Huawei will unveil its second car on July 4th. Hybrid Aito M7 debuts on the same day as nova 10 smartphones

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Official Huawei will unveil its second car on July 4th

Previously, Huawei announced that the official premiere of the nova 10 series smartphones would take place on July 4, and now it has become known that the company will also introduce its second car, the Aito M7, on the same day. With one shot, Huawei will kill two birds with one stone, however, they say that this day there will be much more new products.

Official: Huawei will unveil its second car on July 4th.  Hybrid Aito M7 debuts on the same day as nova 10 smartphones

Aito M7 is a hybrid crossover. In terms of dimensions, it will be noticeably larger than Huawei’s first car, the Aito M5 hybrid crossover. The company has released several new teasers that suggest the Aito M7 will be positioned as a large family travel car.

Official: Huawei will unveil its second car on July 4th.  Hybrid Aito M7 debuts on the same day as nova 10 smartphones

Official details will be revealed on July 4, but it is already known that the car is designed for six, and its dimensions are 5020 x 1945 x 1775 mm with a wheelbase of 2820 mm.

Official: Huawei will unveil its second car on July 4th.  Hybrid Aito M7 debuts on the same day as nova 10 smartphones

The capacity of the traction battery will be approximately 40 kWh – on pure electricity, the crossover will be able to travel about 150 km, and the average fuel consumption will be about 7 liters per 100 km. There will be no lack of power: a 177 hp electric motor mounted on the front axle will be combined with a 272 hp engine. on the rear axle.

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