Application area

C-Pilot technologies today


Level 3+ autonomous system for self-driving vehicles


Farm machinery autonomous control. Agriclutural industrial process automated management

Neural City

Neural City concept aimed at improving the comfort of everyday life

4D radar

77 Ghz 4D imaging radar for Lvl 3+ autonomous driving tasks

Mutual integration

C-Pilot technologies can be implemented as standalone systems or integrated with third-party solutions

47 billion

Global AI market size by 2020


Average annual market growth rate

1,9 million

Annual demand for autonomous vehicles by 2020

150 thousand

Amount of autonomous vehicles in use by 2020

About the project

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Why is Russia so good at getting women into technology?

Why is Russia so good at getting women into technology?

Published on ZDNET.COM
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A century ago, Russia pushed for equal rights to education and work for men and women. The effects are still being felt in tech today.

A stubborn brother and 3,000 Russian rubles were all it took to convince Elena Tverdokhlebova to go into science and technology. “I was 10 years old when my brother, who was studying for the university admissions exams, gave me a math problem to solve,” she says.

He was jumping around the living room offering her 100 rubles, then 1,000, and finally 3,000 if she could do it. “To his surprise, I was able to solve it, and he gave me 3,000 rubles, about $100 at that time,” she says.

This small incentive and the support she received from her family convinced Tverdokhlebova to study math and later computer science. “I became addicted,” she says.

Tverdokhlebova, who is now a data scientist, was part of an all-women Russian team who won the International Quant Championship, a fintech competition organized by computer-powered hedge fund WorldQuant.

She was representing the Moscow Institute of Physics and Technology, together with Tatiana Shpakova and Karina Ashurbekova. “We’re all working in machine learning and data science. We have a good harmony inside our team,” Tverdokhlebova says.

According to the UNESCO Institute of Statistics, 40 percent of Russian researchers are women. Local technology companies such as Yandex, dubbed the Russian Google, say that women make up about a third of their employees.

Other countries in the region, such as Bulgaria and Romania, are also above average when it comes to diversity in science, technology, engineering, and mathematics.

“Eastern Europe consistently produces remarkable women in tech or cybersecurity,” says Jane Frankland, managing director at Cyber Security Capital in the UK and author of the book InSecurity.

SEE: The state of women in computer science: An investigative report (cover story PDF)

She believes there are several reasons for that: girls are expected to take up computer science from an early age and perform well, and there’s no stigma associated with studying technology.

But there’s something more: “Culturally, women in Eastern Europe are characterized as having a forthright nature and this means they’re more inclined to speak up for themselves, and be hardy to rejection, which is typically needed in a male-dominated environment,” Frankland says.

A century of women in tech

Elena Tverdokhlebova says after the 3,000-ruble bet, her mother noticed her interest in math, and pushed her to study harder. Her teammate Tatiana Shpakova also has her mother to thank for the career she has today.

Parental encouragement and having women as role models prompted her to choose a career in tech. “I think it usually comes from the family,” Shpakova says.

As a child, Shpakova lent her parents her savings when they ran out of money, but she kept books, calculating interest rates. “I had a special notebook where I wrote down how much more I needed to buy myself an apartment,” she says.

A study carried out by Microsoft in 2017 showed that more than 60 percent of Russian parents encourage their daughters to study science, technology, engineering, and mathematics.

“Over half (55 percent) of Russian girls feel there are encouraging role models out there for them, compared with, for example, just 35 percent of Dutch respondents,” the report reads. It also points out that Russian girls become interested in science, tech, engineering, and math at the age of 10, a year before the rest of Europe.

The history of Russian women in tech dates back almost a hundred years. In the 1920s, it was one of the first countries to issue legislation that established equal rights to education and work for men and women. The percentage of women researchers soared after that, from 10 percent in 1917 to 42 percent in 1938, according to the Russian Ministry of Education.

Russia’s current generation of science and technology professionals capitalizes on the past, says Olga Uskova, president of Cognitive Technologies Group. She leads a team of engineers who develop autonomous-driving solutions for ground transportation, both agricultural and civil. The team has developed, for instance, a 4D Imaging Radar tailored for harsh weather.

Uskova was born in the mid-1960s, into a family that nurtured her love of science and math. Her parents both majored in math and computer science, and her father was one of the creators of the Kaissa chess program, which became the first world computer chess champion.

When she was a teenager in the 1970s, scientists in Russia were rock stars. Uskova had plenty of science journals for children to dive into, and several math clubs to join. “Back in the 1970s, there was a real cult of the technical specialist. Plus, it was almost the only area not related to politics,” she says.

The Soviet regime, which needed the workforce, encouraged women to have a job and defined them as both mothers and workers. Many had to work in factories and take positions such as welder or bricklayer. To avoid that, some studied hard in school to be able to choose, based on grades, occupations such as engineer or researcher.

Uskova decided to go into the tech because it was the field she was best at. Her driving force was poverty. In the 1980s, when the economy stagnated, people lived on food rations, and mundane things — such as chocolate, soda, or fruits — seemed opulent.

“I was selling OCR [optical character recognition] software and in the stores there was no bread,” Uskova says. “The strongest motivation is the threat to existence. If you want to survive, you will be able to sell snow to the Eskimo in winter.”

SEE: Hacking the Nazis: The secret story of the women who broke Hitler’s codes (cover story PDF)

Looking back on those times, Uskova remembers how much she and other women have worked and believes they’ve raised their daughters in the same spirit. “All the babysitting and raising of artificial brains with deep learning suits female hands. Men lack patience,” she says.

Uskova advises Russian women interested in tech today to pay attention to the field of deep neural networks and to be interested in more than one area of science: “A good specialist must be good in fusing math, biology, psychology, physics, and more.”

Although Russia is above average when it comes to women in science and tech, in recent years the number of female scientists has decreased from 151,500 in 2014 to 148,300 in 2016, according to data provided by the Russian Ministry of Education.

While women based in Moscow or Saint Petersburg dream of having a career, those from small towns and villages are still encouraged to start a family in their early to mid-twenties, often missing out on professional opportunities. They are also expected to do most of the household chores.

Olga Uskova says more should be done to encourage women to assume not only technical positions, but also business-related ones, both in Russia and abroad.

During negotiations for projects such as self-driving tractors, she often finds herself the only woman at the table. “The international auto world is a ‘sausage’ market,” she says.


Auto-navigating Moscow?

Auto-navigating Moscow?

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Chaotic roads, bad weather and reckless habits make the Russian capital one of the worst to drive, and its quest to build an autonomous car uniquely challenging.

In certain sunny climes, self-driving cars are multiplying. Dressed in signature spinning sensors, the vehicles putter along roads in California, Arizona and Nevada, hoovering up data that will one day make them smart enough to run without humans.

Besides perennial sunshine, those places share other common traits: wide, well-manicured roads, functional traffic enforcement, and agreeable local governments. That’s how Chandler, Arizona — a Phoenix suburb on nobody’s radar as of a few weeks ago — became the first US town to host autonomous cars on public streets without human safety drivers. Courtesy of Waymo, they’re expected to start carrying passengers within the next few months.

If you ask many Silicon Valley companies, the future of driverless cars is just a couple of years away. But halfway across the world, the outlook is a lot more skeptical.


“We don’t have the luxury of California roads,” says Olga Uskova of Cognitive Technologies, a Russian software maker that specializes in autonomous vehicles. “The environment is ever-changing: the snow has covered traffic signs; it’s raining on your windshield, the sun is blocking you. Our people train using these kinds of data.”


Uskova asserts that technology tested in sun-drenched utopias can’t possibly translate to a city like Moscow. Gnarly road planning, terrible weather and reckless habits make the Russian capital one of the worst cities in the world for drivers.

With roads that spread like a cobweb away from the Kremlin, disturbances like car wrecks, construction and government motorcades can wreak havoc for miles. Seat belts are scorned, and traffic laws widely ignored; speeding violations are enforced with US$4 fines, paid by phone. It’s no surprise that Russia’s rate of road fatalities is nearly double that of the US, with an average of 20 serious accidents a day just in Moscow.

Or, for that matter, that dashcam videos of Russian road fights and collisions make up such a popular subgenre on YouTube.

But most of the world’s roads look more like Russia than Mountain View, and according to Uskova, that gives Russian developers an edge in building the brains of autonomous cars.

That theory was tested at a recent event in Moscow, advertised as the world’s first hackathon for driverless cars. In an austere, Soviet-era dormitory, top engineering students from far-flung schools like MIT, Cambridge and Peking University sank into beanbag chairs for a three-day coding binge.

“We’re here because it’s a chance to change the world over the next 10 to 15 years,” said Mitch Mueller, a student who traveled from the University of Wisconsin to compete. They were also competing for a cash prize, bragging rights and — most importantly — the attention of participating companies, including Uber and Nvidia, eager to recruit the next generation of AI talent.


The event had another purpose: to advance a credo that when it comes to autonomous cars, tougher conditions produce smarter technology. Lidar — the expensive, light-pulsing sensors relied upon by current autonomous car models — is worthless in snow and thus “a fake,” says Uskova. Instead, cars should be trained to operate using high-definition cameras, low-cost radars and powerful AI that mimics the human brain.

As the 150 engineers pored over Moscow road data, it was obvious that this vision is a long ways off. Most cars struggled to identify signs, for instance, which were hard to detect in snow or rain; and for non-Russian speakers, the task was practically impossible.

“The problem is that the signs are small, and in Russia they look very similar,” explained Sami Mian, a computer scientist at Arizona State University. “The main difference is numbers and arrows, and a city entry sign can look almost the same as a stop sign. The top team had 40 percent accuracy.”

That team, three local guys from Moscow, had tapped into a secret weapon: a trove of the popular dashcam footage, which had been harvested and stored at nearby Moscow State University. Derived from 100,000 dashcam videos, that data served as the building blocks of a basic neural network hammered out by the cigarette-puffing coders, who mentioned that they had slept a total of five hours over three days.

Russian-built autonomous systems are already in use by Kamaz, Russia’s largest truck maker, and an agricultural equipment company. Both are working with Cognitive Technologies to build autonomous machines. But adapting the technology for city use, and bringing it to the international stage, is a steep battle.

No government agency has developed regulations for autonomous cars, so road testing is constrained to designated testing zones. The only car testing zone in Moscow is a 400-meter track embellished with pedestrian crossings, road signs, markings and a section with circular traffic.

It’s a lousy facsimile of Moscow roads, or any road. But even worse is its location far outside the city center: a planned ride-along was scrapped because of bad traffic.