In short, artificial intelligence is the future. No other technology has achieved so much in a very short span of time as artificial intelligence did. It is considered the breakthrough of the 21st century. We can find AI's influence in every industry starting from healthcare to education, manufacturing, banking and finance, telecommunication, shipping, etc. The extreme need for artificial intelligence solutions has hit the market, resulting in the emergence of many AI start-ups from across the globe.

Wireless x-haul networks rely on microwave and millimeter-wave links between 4G and/or 5G base-stations to support ultra-high data rate and ultra-low latency. A major challenge associated with these high frequency links is their susceptibility to weather conditions. In particular, precipitation may cause severe signal attenuation, which significantly degrades the network performance. In this paper, we develop a Predictive Network Reconfiguration (PNR) framework that uses historical data to predict the future condition of each link and then prepares the network ahead of time for imminent disturbances. The PNR framework has two components: (i) an Attenuation Prediction (AP) mechanism; and (ii) a Multi-Step Network Reconfiguration (MSNR) algorithm. The AP mechanism employs an encoder-decoder Long Short-Term Memory (LSTM) model to predict the sequence of future attenuation levels of each link. The MSNR algorithm leverages these predictions to dynamically optimize routing and admission control decisions aiming to maximize network utilization, while preserving max-min fairness among the base-stations sharing the network and preventing transient congestion that may be caused by re-routing. We train, validate, and evaluate the PNR framework using a dataset containing over 2 million measurements collected from a real-world city-scale backhaul network. The results show that the framework: (i) predicts attenuation with high accuracy, with an RMSE of less than 0.4 dB for a prediction horizon of 50 seconds; and (ii) can improve the instantaneous network utilization by more than 200% when compared to reactive network reconfiguration algorithms that cannot leverage information about future disturbances.

Localizing the root cause of network faults is crucial to network operation and maintenance. However, due to the complicated network architectures and wireless environments, as well as limited labeled data, accurately localizing the true root cause is challenging. In this paper, we propose a novel algorithm named NetRCA to deal with this problem. Firstly, we extract effective derived features from the original raw data by considering temporal, directional, attribution, and interaction characteristics. Secondly, we adopt multivariate time series similarity and label propagation to generate new training data from both labeled and unlabeled data to overcome the lack of labeled samples. Thirdly, we design an ensemble model which combines XGBoost, rule set learning, attribution model, and graph algorithm, to fully utilize all data information and enhance performance. Finally, experiments and analysis are conducted on the real-world dataset from ICASSP 2022 AIOps Challenge to demonstrate the superiority and effectiveness of our approach.

The teams most impacted by these decisions are Gambit Esports and Virtus.pro. Gambit is owned by the telecommunications company Mobile TeleSystems, whose largest shareholder is a company headed by the Russian billionaire Vladimir Yevtushenkov. On Feb. 24, Yevtushenkov was present at a Kremlin meeting between Putin and representatives of Russian big business. Virtus.pro shares a connection with the Russian insurance firm SOGAZ, which fell under European Union sanctions following the invasion.

Qualcomm, one of the world's leading 5G inventors, has introduced its newest modem technology, codenamed Snapdragon X70 at Mobile World Congress in Barcelona, Spain. According to Qualcomm, the Snapdragon X70 5G Modem-RF (Radio Front End) system also uses AI and machine learning to provide "breakthrough 5G speeds, coverage, low latency, and battery economy," according to Qualcomm. Qualcomm also unveiled an extended range of 5G Open RAN (Radio Access Networks) solutions. Client devices will soon benefit from a variety of AI-optimized performance advancements that are important for unleashing the full potential of 5G cellular connection in the years ahead. Qualcomm is presenting the Snapdragon X70 today, claiming it to be the world's first 5G AI processor in a modem-RF combination.

SoundHound has partnered with Qualcomm to integrate its voice AI tech onto some of Qualcomm's Snapdragon platforms. The new arrangement will streamline adding SoundHound's automatic speech recognition, natural language understanding, and text-to-speech functions for app and device developers using certain Snapdragon chipsets. Embedding SoundHound's technology on Snapdragon provides a shortcut for developers interested in adding conversational voice experiences and interactions into their products without having to make their devices bigger or software more complex. SoundHound's tech includes benefits like voice detection in noisy environments and user identification, too, removing more of the common barriers for incorporating voice tech. The collaboration means Android developers can create apps that respond to voice requests even if the device is already playing other audio content.

This is your AI Daily Roundup today. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives. Canon Europe announces the launch of two new super-telephoto lenses, the RF 800mm F5.6L IS USM and the RF 1200mm F8L IS USM.

Imagine the benefits to communities and organizations that have access to improved bandwidth, reliability, and reduced latency, while leveraging the rich capabilities of cloud-to-edge technology without compromise to security, critical services, or key workloads. With the most complete offerings for the telecommunications industry, Microsoft is the ideal cloud provider to help operators with their digital transformation journey and enable them to deliver these innovative services to their consumer, enterprise, and public sector customers. Today, we’re announcing the next wave of Azure for Operators solutions and services.

Operations in the telecommunications industry is often said to be one of the most complex aspects of the business to run, and the most successful telcos tend to be those that outperform at this task. It requires a simultaneous, coordinated, and dynamic approach across business units, each of which alone would be a giant business to run. In recent years, artificial intelligence has had the potential to simplify the task by optimizing various functions that make up operations. Telcos are only just beginning to utilize that promise, with operators finding success with AI solutions that help optimize service operations journeys, such as the in-store customer experience, call center use, and deployment of employees in stores, call centers, and the field. The intensely challenging economic landscape that telcos have had to navigate in recent years makes the prospect of investment in new solutions daunting.

Scientists from FGAOU FOREIGN ECONOMIC ASSOCIATION "YUURGU (NIU)", SOUTHERN URAL STATE UNIVERSITY developed mathematical models, with help which it will be possible to control and predict capacity intersections. The accounting of changeable parameters is their cornerstone in work of intersections. Results of researches are published in the Transport and Telecommunication magazine. Growth of number of cars in the large cities leads to decrease capacities a transport network. In most cases capacity is determined by intersections with traffic light regulation. Having analysed variety of modes...