The creation of the Global Partnership on Artificial Intelligence (GPAI) reflects the growing interest of states in AI technologies. The initiative, which brings together 14 countries and the European Union, will help participants establish practical cooperation and formulate common approaches to the development and implementation of AI. At the same time, it is a symptom of the growing technological rivalry in the world, primarily between the United States and China. Russia's ability to interact with the GPAI may be limited for political reasons, but, from a practical point of view, cooperation would help the country implement its national AI strategy. The Global Partnership on Artificial Intelligence (GPAI) was officially launched on June 15, 2020, at the initiative of the G7 countries alongside Australia, India, Mexico, New Zealand, South Korea, Singapore, Slovenia and the European Union. According to the Joint Statement from the Founding Members, the GPAI is an "international and multistakeholder initiative to guide the responsible development and use of AI, grounded in human rights, inclusion, diversity, innovation, and economic growth."

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

The Council of Europe is working on a future legal framework to regulate the use of artificial intelligence (AI) across all 47 member states. The Council's Ad hoc Committee on Artificial Intelligence (CAHAI) held a three-day meeting on 6-8 July attended by around 150 international experts. The purpose of the meeting was to draw up "concrete proposals on the feasibility study of a future legal framework on artificial intelligence based on human rights, democracy and the rule of law," according to the Council. Representatives from all 47 member states, including Russia, attended the online meeting alongside delegates from'observer states' (USA, Canada, Japan, Mexico, the Vatican and Israel) and AI experts drawn from civil society, academia, and business. Other international organisations such as the EU, OECD and the UN will also contribute to CAHAI's work on potential AI regulation.

Five astronauts living in space are preparing to welcome a new shipment of supplies after a successful evening launch from Kazakhstan of an uncrewed Russian Progress cargo vehicle.The mission, dubbed Progress 76, blasted off on a Russian Soyuz rocket today (July 23) from Russia's workhorse launch site, Baikonur Cosmodrome, in Kazakhstan at 7:26 p.m. local time (10:26 a.m. EDT, 1426 GMT). The capsule carried 2.7 tons (2,500 kilograms) of supplies for the two Russian cosmonauts and three NASA astronauts currently working on the International Space Station."The Progress is now in its preliminary orbit, having completed a flawless climb to orbit following an on-time launch," NASA spokesperson Rob Navias said during a live broadcast of the launch. "Everything went by the book in this morning's launch of the Progress to the International Space Station."Related: How Russia's Progress spaceships work (infographic) Image 1 of 9 A Russian Soyuz rocket carrying an uncrewed Progress cargo spacecraft packed with supplies blasted off from Kazakhstan on July 23, 2020.

Nikolay Ironov had been working as a graphic designer for more than a year before he revealed his secret. Lebedev Studio -- Russia's largest design company -- Ironov had already worked on more than 20 commercial projects, creating everything from beer bottle labels to startup logos. But Ironov was not the person he claimed to be. In fact, the designer was not a person at all. Lebedev Studio revealed the truth to its clients: their logos had been created by an AI system.

"If we efficiently start implementing the plan we are developing on the basis of our stakeholder authorities and key companies (the Transport Ministry, the Interior Ministry and the Ministry of Industry and Trade), then, I believe 2024 is the year when we can launch driverless taxis in a certain regime," he said. The ride-hailing service will be provided by Russian technology giant Yandex. Tests of over one hundred robotic cars are currently underway. Yandex first unveiled its autonomous car in 2017, saying it was entering the driverless technology market and intended to capitalize on its already existing online services like map navigation, traffic surveillance, and image recognition for its other major branch – an Uber-like taxi service. In 2018, experimental self-driving cars were launched in Moscow and Tatarstan.

World's most popular audio streaming subscription service now available to 250 million more people in Europe as Spotify expands to 92 markets worldwide Spotify is available for free, offering unrivaled personalized music discovery Spotify launched its service in 13 new markets across Europe including Russia, one of the world's top 20 largest streaming markets. Already the world's most popular audio streaming subscription service, with today's expansion, Spotify now reaches a current total of 92 markets worldwide. Spotify's 13 new markets include: Albania, Belarus, Bosnia & Herzegovina, Croatia, Kazakhstan, Kosovo, Moldova, Montenegro, North Macedonia, Russia, Serbia, Slovenia, Ukraine. As the leading platform driving music discovery on more types of devices than any other service, Spotify's expansion in Europe comes as consumers in the region embrace streaming. According to the International Federation of the Phonographic Industry (IFPI), Russia is the 17th-biggest streaming market in the world and on pace to be the 10th-biggest streaming market by 2030.

The difference this time is that normally revolutions are loud. This one is potentially quiet. Hackers used to be loud too. The holy grail now is to silently infiltrate the systems and have access for as long as possible. Imagine what very fast networks and artificial intelligence and black boxes and the new gatekeepers (winners take all) and compression of time (the distance between Moscow and St Petersburg is about 0.3 milliseconds on a light-speed fibre-optic cable) and everyday objects connected and weapons can do together.

Akbar Solo Researchers in Moscow and America have discovered how to use machine learning to grow artificial organs, especially to tackle blindness Researchers from the Moscow Institute of Physics and Technology, Ivannikov Institute for System Programming, and the Harvard Medical School-affiliated Schepens Eye Research Institute have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish. Unlike humans, the algorithm achieves this without the need to modify cells, making the method suitable for growing retinal tissue for developing cell replacement therapies to treat blindness and conducting research into new drugs. The study was published in Frontiers in Cellular Neuroscience. How would this enable easier organ growth? This would allow to expand the applications of the technology for multiple fields including the drug discovery and development of cell replacement therapies to treat blindnessIn multicellular organisms, the cells making up different organs and tissues are not the same.

Credit: CC0 Public Domain Researchers from the Moscow Institute of Physics and Technology, Ivannikov Institute for System Programming, and the Harvard Medical School-affiliated Schepens Eye Research Institute have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish. Unlike humans, the algorithm achieves this without the need to modify cells, making the method suitable for growing retinal tissue for developing cell replacement therapies to treat blindness and conducting research into new drugs.