Top 5 Game Development Software According to the sts, there are more than 2 billion gamers around the globe which is almost 26% of the total global population. Almost 38% of the gamers belong to the age group of 18 to 34 years, and 7% of them belong to the 65 age group. The legion of gamers includes high school students, engineers, Creative Professionals, Qualified Doctors, and people from other sophisticated professions.

In the last century, transformation in society has stemmed from technology and innovation. In the last 1.5 years, it has been reshaping and revolutionizing education like never before. Today, humans have the ability to extract the greatest ideas from the collective expertise of teachers, innovators, and communities in order to expand the reach of high-quality education. We can now learn better and absorb new skills based on our unique interests and needs. Digital technologies and edtech platforms have democratised and personalised curriculums, and every student is provided with exactly what they need, when they need it, and how they need it. While technology in education can find its roots in history, it took a pandemic for it to become a mainstream, highly adapted, and accepted medium of learning.

The Indian education system has started reaping the benefits of advanced technology, artificial intelligence, to improve multiple weak sectors in 2022 such as determining the rate of school dropouts, using personalized education through apps, and the estimated number of people using AI education apps, and different kinds of AI apps. Thus, it is highly beneficial to keep a count on different aspects to provide better education and the future to Indian students efficiently and effectively. According to the Analytics Insight survey, 46% of the respondents thought that AI can determine school dropout rates in India while 24.4% did not consider it a viable option. Meanwhile, only 29.3% were in a neutral state by stating that maybe AI can do this function efficiently. Out of 241 respondents, 65.9% considered that artificial intelligence can increase the effectiveness of personalized education while 31.7%

USM Business Systems has posted a manifold of articles on the emergence and benefits of Artificial Intelligence (AI) technology. From the travel, healthcare, and e-commerce to banking, finance, and entertainment sectors, AI technologies have grabbed the highest priority. Businesses across the globe have a strong belief that revolutionizing AI technology assists them in automating services, reaching the audience, delivering better customer experiences, and generating a strong sales pipeline. In this article, we would like to give you a detailed guide on how AI technology is adopting by industries and what benefits the brands are enjoying by implementing AI in mobile apps. Artificial Intelligence technology is increasingly adopting for mobile apps development.

Day of AI is May 13, 2022 when K-12 students across the country will engage in a series of freely available hands-on activities designed to introduce them to Artificial Intelligence (AI) and how it plays a part in their lives today. How did my phone recognize me?) All Day of AI activities are designed to be taught by educators with little or no technology background and to be accessible to students of all backgrounds and abilities, including those with little or no technology experience. The only requirements are an internet connection and a Chromebook or laptop. Day of AI activities are organized by age group and can be run in 30 minute to 1 hour time blocks.

Artificial Intelligence (AI) is intelligence exhibited by machines. In Computer Science, AI research deals with how to create computers that are capable of intelligent behavior. AI has been defined in numerous ways, but in general, it can be described as a way of making a computer system "smart" – able to understand complex tasks and carry out complex commands. The principal benefit of AI is that it can help humans make better decisions by providing insights and recommendations informed by data. AI has several applications and is being employed in a growing number of industries, including healthcare, finance, manufacturing, and transportation. Some of the most remarkable applications of AI are in the field of robotics, where AI is used to create machines that can carry out complex tasks.

One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. Existing Vietnamese datasets for MRC research concentrate solely on answerable questions. However, in reality, questions can be unanswerable for which the correct answer is not stated in the given textual data. To address the weakness, we provide the research community with a benchmark dataset named UIT-ViQuAD 2.0 for evaluating the MRC task and question answering systems for the Vietnamese language. We use UIT-ViQuAD 2.0 as a benchmark dataset for the challenge on Vietnamese MRC at the Eighth Workshop on Vietnamese Language and Speech Processing (VLSP 2021). This task attracted 77 participant teams from 34 universities and other organizations. In this article, we present details of the organization of the challenge, an overview of the methods employed by shared-task participants, and the results. The highest performances are 77.24% in F1-score and 67.43% in Exact Match on the private test set. The Vietnamese MRC systems proposed by the top 3 teams use XLM-RoBERTa, a powerful pre-trained language model based on the transformer architecture. The UIT-ViQuAD 2.0 dataset motivates researchers to further explore the Vietnamese machine reading comprehension task and related tasks such as question answering, question generation, and natural language inference.

The deep learning revolution incited by the 2012 Alexnet paper has been transformative for the field of computer vision. Many problems which were severely limited using classical solutions are now seeing unprecedented success. The rapid proliferation of deep learning methods has led to a sharp increase in their use in consumer and embedded applications. One consequence of consumer and embedded applications is lossy multimedia compression which is required to engineer the efficient storage and transmission of data in these real-world scenarios. As such, there has been increased interest in a deep learning solution for multimedia compression which would allow for higher compression ratios and increased visual quality. The deep learning approach to multimedia compression, so called Learned Multimedia Compression, involves computing a compressed representation of an image or video using a deep network for the encoder and the decoder. While these techniques have enjoyed impressive academic success, their industry adoption has been essentially non-existent. Classical compression techniques like JPEG and MPEG are too entrenched in modern computing to be easily replaced. This dissertation takes an orthogonal approach and leverages deep learning to improve the compression fidelity of these classical algorithms. This allows the incredible advances in deep learning to be used for multimedia compression without threatening the ubiquity of the classical methods. The key insight of this work is that methods which are motivated by first principles, i.e., the underlying engineering decisions that were made when the compression algorithms were developed, are more effective than general methods. By encoding prior knowledge into the design of the algorithm, the flexibility, performance, and/or accuracy are improved at the cost of generality...

Learn about the evolution of Artificial Intelligence (AI) technology in the field of education Learn about the evolution of Artificial Intelligence (AI) technology in the field of healthcare Know about futuristic technologies that will emerge in the workspace Get an insight on the world's most futuristic technologies powered by Artificial Intelligence (AI) Discover a most powerful website that can help to clone your thoughts via audio or text powered by Artificial Intelligence (AI) Get an insight on the world's most futuristic technologies powered by Artificial Intelligence (AI) Let's get this straight and to the point. Man has long feared the rise of the machine, fearing that his own creation might become really smarter or intelligent and more sophisticated than he is. However, while AI and machine learning are rapidly altering our environment and propelling the Fourth Industrial Revolution, humanity does not need to be concerned. Artificial Intelligence (AI) will provide people with the ability to focus on the aspects of their occupations or jobs that are most rewarding to them and the time is coming soon. We must also note that Artificial intelligence is influencing the future of almost every sector and every person on the planet.

Wipro has entered into a three-year partnership with the University of South Carolina and the Indian Institute of Technology, Patna (IIT Patna) with an aim to advance artificial intelligence (AI) led innovation. The co-innovation model of the partners is said to represent a joint research attempt that will involve doctoral candidates from industries and academia. Professor Amit Sheth -- founding director of the AI Institute at the University of South Carolina said: "Wipro's initiative to collaborate with top national and international academic partners in Natural Language Processing is pathbreaking. The co-innovation model pursued by this collaboration has a significantly higher chance to achieve tangible results for all involved. "AIISC @UoSC has years of experience building and applying knowledge graphs in research and commercial applications.