AntiMalware•August 26, 2026•🇷🇺Translated from Russian

Russia to Enforce Smartphone Ban During School Lessons Starting September 2026

Starting September 1, 2026, Russian school students will face a formal ban on using mobile phones during lessons, with the measure to be enshrined in a departmental order from the Ministry of Education.

Minister Sergey Kravtsov announced that the new rules will clarify existing federal legislation on device usage in educational settings. Students will be allowed to access smartphones only in genuine emergencies, such as situations posing a direct threat to the life or health of pupils or staff, he told TASS.

Everyday activities including messaging, playing games, browsing social networks, or attempting to query AI tools for answers during class will remain strictly prohibited under the forthcoming order.

The policy stops short of removing smartphones from schools entirely. During breaks, students may use their devices according to rules set by each individual educational institution, meaning some schools could permit immediate access after the bell while others may extend restrictions until the end of the school day.

Earlier statements from the Ministry of Digital Development indicated that authorities have no plans to introduce a general prohibition on social media use by minors. As a result, platforms such as TikTok and Telegram will continue to be available outside of lesson time.

Related articles

Securitylab•Other

Neuromorphic Chips: Event-Driven Architectures Aim to Cut Energy Use in Always-On AI and Sensor Systems

Modern processors and GPUs excel at massive parallel math yet remain inefficient for continuous sensor streams where little changes most of the time. Neuromorphic chips borrow principles such as local memory, sparse spiking communication and threshold-based activation from biological nervous systems to reduce data movement and idle computation. The approach replaces constant matrix multiplications with asynchronous spikes that propagate only when meaningful events occur, lowering both power and latency for edge devices. Spiking neural networks encode information in the timing and frequency of pulses rather than dense numeric tensors, making them suitable for vibration monitoring, robotic vision and wearable health sensors. Hybrid systems are expected to pair conventional CPUs and NPUs for heavy training workloads with neuromorphic accelerators that stay dormant until events arrive. The architecture does not replace existing accelerators but targets the niche of always-on, battery-constrained perception tasks where conventional von Neumann designs hit the memory wall.

AntiMalware•Other

Russia Boosts Digitalization Budget by 58% Using Telecom Operators' Universal Service Fund

The Russian government has significantly increased allocations for digital projects from the universal service reserve funded by telecom operators. In the 2027 draft budget, 16.3 billion rubles are earmarked for digital solutions, up 58% from the previously planned 10.3 billion rubles. The funds will support the national project Data Economy and the state program Information Society, covering state information systems, digital platforms, cloud infrastructure, AI projects, and quantum technologies. The operator contribution rate remains unchanged at 2% of revenue, with no new levies under consideration. Funding for connecting small settlements to the internet stays at 19.3 billion rubles, while allocations from traffic fines for digitalization are being reduced.

AntiMalware•Other

GigaChat Creates New Continuation of Gogol's Dead Souls Under Expert Supervision

Sber's GigaChat generative AI model has produced a new version of the second volume of Nikolai Gogol's Dead Souls, which the author himself destroyed in 1852. The project involved training the model on Gogol's writings, letters, drafts, works by his contemporaries, and philosophical and religious texts that may have influenced the writer. Historians, literary scholars, linguists, and engineers guided the process to ensure the creation of original images and meanings rather than recycled phrases. Experts reviewed every fragment of the generated text for authenticity and quality. Illustrations were also produced by an AI model based on the style of Alexander Agin, who illustrated the first volume during Gogol's lifetime. Sber states the goals are to demonstrate AI as a creative and analytical tool in the hands of specialists and to attract younger readers to Russian classics. Vladislav Kreynin noted that the work does not resolve debates about the lost original manuscript.

Habr•Other

Why Defending a Company Costs Millions While Attacks Can Succeed for Just Hundreds of Dollars

In the latest episode of Belyaev Podcast, CISO Vyacheslav Kasimov of Tochka Bank and Boris Evdokimov of ASNA pharmacy chain discussed the persistent asymmetry in cybersecurity spending. Attackers increasingly rely on affordable cloud services, automation, and rented infrastructure, while defenders must invest heavily in monitoring, access controls, backups, and skilled teams. The experts stressed that the absence of known breaches does not equal security, as undetected incidents or delayed discovery remain common risks. They advocated shifting from a "no" culture to risk-based decision making that helps business leaders understand potential losses, mitigation costs, and residual risk. The conversation also covered responsible use of AI in SOC operations and the long-term damage caused by loss of customer trust after incidents.