Goto

Collaborating Authors

Russia


Digital Peter: Dataset, Competition and Handwriting Recognition Methods

arXiv.org Artificial Intelligence

This paper presents a new dataset of Peter the Great's manuscripts and describes a segmentation procedure that converts initial images of documents into the lines. The new dataset may be useful for researchers to train handwriting text recognition models as a benchmark for comparing different models. It consists of 9 694 images and text files corresponding to lines in historical documents. The open machine learning competition Digital Peter was held based on the considered dataset. The baseline solution for this competition as well as more advanced methods on handwritten text recognition are described in the article. Full dataset and all code are publicly available.


Panel Details Global Artificial Intelligence Arms Race - USNI News

#artificialintelligence

Harnessing artificial intelligence and machine learning technologies has become the new arms race among the great powers, a Hudson Institute panel on handling big data in military operations said Monday. Speaking at the online forum, Richard Schultz, director of the international security program in the Fletcher School at Tufts University, said, "that's the way [Russian President Vladimir] Putin looks at it. I don't think we have a choice" but to view it the same way. He added in answer to a question that "the data in information space is enormous," so finding tools to filter out what's not necessary is critical. U.S. Special Operations Command is already using AI to do what in the old days was called political or psychological warfare, in addition to targeting, he added.


AI-enabled harvesters reap 720,000 tonnes of crops - Agriculture Post

#artificialintelligence

Russia: Cognitive Agro Pilot, an autonomous AI-based driving system for farming equipment which was designed by Sber and its ecosystem member Cognitive Pilot – has succeeded in industrial use across 35 regions of Russia when reaping the 2020 harvest. From June to October 2020, over 350 New Holland, John Deere and CLAAS autonomous combines equipped with Cognitive Agro Pilot system farmed over 160,000 hectares of field and harvested more than 720,000 tonnes of crops. With the help of Cognitive Agro Pilot as many as 590,000 metric tonnes of grain crops such as wheat, soybeans, barley, oats, sorghum, buckwheat, among others, were harvested over 130,000 hectares, and some 130,000 metric tonnes of row crops and roll crops (corn, sunflower, etc.) were harvested over 30,000 hectares in Kaliningrad, Kaluga, Kursk, Belgorod, Tambov, Penza, Rostov, Tomsk, Kurgan, Krasnodar, Krasnoyarsk and Stavropol regions. Thanks to the use of Cognitive Agro Pilot, this harvesting season stakeholders were able to save – on fuel and other related materials, shorter harvesting time (machine hours), equipment depreciation, extended active use of equipment before capital expenditures, fewer human errors, optimisation of business processes, and other parameters. According to the estimates of project members, in the next three years, every 10th harvester in Russia may become autonomous.


Opinion/Middendorf: Artificial intelligence and the future of warfare

#artificialintelligence

By J. William Middendorf J. William Middendorf, who lives in Little Compton, served as Secretary of the Navy during the Ford administration. His recent book is "The Great Nightfall: How We Win the New Cold War."Thirteen days passed in October 1962 while President John F. Kennedy and his advisers perched at the edge of the nuclear abyss, pondering their response to the discovery of Russian missiles in Cuba. Today, a president may not have 13 minutes. Indeed, a president may not be involved at all. "Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world."


Citizens are turning face recognition on unidentified police

MIT Technology Review

Moves have been made to restrict the use of facial recognition across the globe. In part one of this series on Face ID, Jennifer Strong and the team at MIT Technology Review explore the unexpected ways the technology is being used, including how technology is being turned on police. This episode was reported and produced by Jennifer Strong, Tate Ryan-Mosley and Emma Cillekens, and Karen Hao. Strong: A few things have happened since we last spoke about facial recognition. We've seen more places move to restrict its use while at the same time, schools and other public buildings have started using face I-D as part of their covid-prevention plans. We're even using it on animals and not just on faces with similarities to our own, like chimps and gorillas, Chinese tech firms use it on pigs, and Canadian scientists are working to identify whales, even grizzly bears.


Podcast: How Russia's everything company works with the Kremlin

MIT Technology Review

Russia's biggest technology company enjoys a level of dominance that is unparalleled by any one of its Western counterparts. Think Google mixed with equal parts Amazon, Spotify and Uber and you're getting close to the sprawling empire that is Yandex--a single, mega-corporation with its hands in everything from search to ecommerce to driverless cars. But being the crown jewel of Russia's silicon valley has its drawbacks. The country's government sees the internet as contested territory amid ever-present tensions with US and other Western interests. As such, it wants influence over how Yandex uses its massive trove of data on Russian citizens. Foreign investors, meanwhile, are more interested in how that data can be turned into growth and profit. For the September/October issue of MIT Technology Review, Moscow-based journalist Evan Gershkovich explains how Yandex's ability to walk a highwire between the Kremlin and Wall Street could potentially serve as a kind of template for Big Tech.


AI: Artificial intelligence danger of aiding totalitarians – 'Unprecedented power' – IAM Network

#artificialintelligence

Artificial intelligence today (properly known as'narrow' or'weak' AI) is progressing at an ever-accelerating pace. AI can encompass anything from Google's search algorithms to IBM's Watson. However, AI is also being exploited by governments eager to enhance their power over an ever-more digitally-dependent world. Simon McCarthy-Jones, Associate Professor in Clinical Psychology and Neuropsychology at Trinity College Dublin, reveals why the'technological elite' require'checks and balances' in the use and development of artificial intelligence. AI is the ultimate source of knowledge, making it the ultimate source of powerProfessor Simon McCarthy-JonesHe told Express.co.uk: "AI is the ultimate source of knowledge, making it the ultimate source of power."The Russian President, Vladimir Putin, says that whoever leads the world in AI will rule it.


Developing Artificial Intelligence in Russia: Objectives and Reality

#artificialintelligence

Russia's leaders have been paying close attention to artificial intelligence (AI) technologies for several years now. President Vladimir Putin has said on numerous occasions that the leader in the field of AI would become "the master of the world." Until recently, however, Russia remained virtually the only large country without its own AI development strategy. That changed in October 2019, when the country adopted a long-discussed National Strategy for the Development of Artificial Intelligence Through 2030. One of the driving forces behind the strategy was Sberbank president German Gref. The state-owned bank has also developed a road map for developing AI in Russia and coordinated the creation of Russia's AI development strategy, which is largely corporate, involving the internet giants Yandex and Mail.ru


Software System for Road Condition Forecast Correction

arXiv.org Machine Learning

Some of them depend on human behavior; others depend on infrastructure conditions. For example, in many regions of the Russian Federation, spring and autumn temperatures can fluctuate near 0 C, which in combination with rains and high humidity could lead to ice formation on the roads. Detection of these conditions is essential for road safety. Online monitoring allows preventing road accidents by early maintenance; for example, we can use video monitoring of roads' conditions. Machine learning techniques enable detecting ice formation automatically.


Dagen McDowell blasts 'talking heads' as 'tools for Putin' over disputed Russian election interference reports

FOX News

"The Five" discussed the media reaction to reports on Russia's involvement or prospective involvement in the 2020 presidential election Monday, with particular focus on cable news channels CNN and MSNBC. "In terms of these talking heads on TV, the makeup-wearing misery mongers, you're never, ever, ever going to hear them apologize for getting it wrong literally for the last four years," Fox Business Network's Dagen McDowell said. "Because in their in their arrogance and insecurity, they'll never be able to admit that they are tools for Putin and also fools." A U.S. intelligence official told Fox News Sunday that contrary to numerous recent media reports, there is no evidence to suggest that Russia is making a specific "play" to boost President Trump's reelection bid. The official added that top election security official Shelby Pierson, who briefed Congress on Russian election interference efforts earlier this month, may have overstated intelligence regarding the issue.