A chaotic modulation scheme is an efficient wideband communication method. It utilizes the deterministic chaos to generate pseudo-random carriers. Chaotic bifurcation parameter modulation is one of the well-known and widely-used techniques. This paper presents the machine learning based demodulation approach for the bifurcation parameter keying. It presents the structure of a convolutional neural network as well as performance metrics values for signals generated with the chaotic logistic map. The paper provides an assessment of the overall accuracy for binary signals. It reports the accuracy value of 0.88 for the bifurcation parameter deviation of 1.34% in the presence of additive white Gaussian noise at the normalized signal-to-noise ratio value of 20 dB for balanced dataset.

Abstract--This paper presents the machine learning approach to the automated classification of a dog's emotional state based on the processing and recognition of audio signals. It offers helpful information for improving human-machine interfaces and developing more precise tools for classifying emotions from acoustic data. The presented model demonstrates an overall accuracy value above 70% for audio signals recorded for one dog. I.Introduction Scientists suggest that canines are far more intelligent than people realize. Over the years, there have been a lot of publications about studies focused on dogs.

In this paper, we have gone through different AI-Based frameworks used for various educational tasks like digital customized assignment allotment and performance monitoring, identifying slow-learners and fast-learners, etc. application describes a novel invention, digital screen-integrated tables, designed specifically for educational settings. The tables feature integrated digital screens controlled by a central processing unit (CPU), enabling synchronized display of educational content such as textbooks, presentations, exam questions, and interactive learning materials. Additionally, the invention facilitates the collection of student performance data during classroom activities and assessments. The gathered data is utilized for analysis using machine learning models to identify patterns and trends in student learning behaviours. By leveraging machine learning algorithms, educators can ascertain whether a student is a fast learner or a slow learner, based on which, the teacher can allocate more resources to the slow learners. This innovative approach aims to address the evolving needs of modern classrooms by providing a dynamic and data-driven learning environment. The unique integration of digital screens into traditional classroom furniture represents a significant advancement in educational technology. This patent filing encompasses the design, functionality, and method of operation of the digital screen-integrated tables, emphasizing their innovative features and applications in educational institutions.

The Home Office plans to use artificial intelligence to reduce the asylum backlog, and is launching a three-day hackathon in the search for quicker ways to process the 138,052 undecided asylum cases. The government is convening academics, tech experts, civil servants and business people to form 15 multidisciplinary teams tasked with brainstorming solutions to the backlog. Teams will be invited to compete to find the most innovative solutions, and will present their ideas to a panel of judges. The winners are expected to meet the prime minister, Rishi Sunak, in Downing Street for a prize-giving ceremony. Inspired by Silicon Valley's approach to problem-solving, the hackathon will take place in London and Peterborough in May.

Employee wellness has become a crucial aspect of organizational success in today's fast-paced world. With mental health issues becoming increasingly prevalent in the workplace, innovative solutions are needed to address these challenges. One such solution lies in the realm of artificial intelligence (AI), a rapidly advancing technology that's transforming various industries. This begs the question: can AI truly positively impact employee mental health and wellness? To answer this, let's take a closer look at the potential of AI in this sphere.

One technology that is poised to play a critical role in addressing these challenges is artificial intelligence (AI). AI is an advanced technology that has the potential to revolutionize the way we approach global problems by providing powerful tools for analysis, prediction, and decision-making. One of the most pressing challenges facing the world today is climate change. Rising temperatures, extreme weather events, and natural disasters threaten the stability of ecosystems and the well-being of millions of people worldwide. AI has the potential to help address this challenge by providing tools for monitoring and predicting weather patterns, assessing the impact of climate change on ecosystems, and developing innovative solutions for reducing greenhouse gas emissions.

Large Language Models (LLMs) are undoubtedly one of the most exciting areas in Artificial Intelligence (AI) research right now, that have demonstrated incredible potential in reproducing human-like language. These models are trained on massive amounts of text data, enabling them to mimic human language with remarkable accuracy, from generating coherent and sensible sentences to understanding the context and meaning of words. This blog post intends to provide an extensive insight into the basic principles behind LLMs, their functionality, and their applications. We will further examine some of the recent advances and challenges that confront the LLM landscape, and also make conjectures on what the future holds for this awe-inspiring technology. LLMs represent a highly sophisticated form of deep learning models, which are deeply immersed in the training of substantial text datasets to generate text.

In this tech-driven world, the demand for data scientists is constantly increasing and the discipline presents an enticing career path for students and existing professionals in the field of data science. There are many people who are not data scientists but are obsessed with data and data science, which has left them asking for tips to be a successful data scientist, to pursue a career in data science. Leveraging the use of Big Data as an insight-generating engine has skyrocketed the demand for a skilled data scientist globally at the enterprise level. In this competitive world a data scientist, who specializes in analyzing and interpreting data is not sufficient. We need to practice many tricks and tips to be a more successful data scientist.

Cognizant today announced that it has signed a memorandum of understanding (MoU) with Garuda Aerospace, one of India's leading drone startups, to power its drones with advanced digital capabilities and bring innovative solutions at scale for enterprises aiming to achieve greater agility, productivity, and overall outcomes. "We are excited to collaborate with Garuda Aerospace, combine our deep industry knowledge with capabilities such as advanced data analytics, real-time insights and software development to elevate drone-based solutions and new use cases for enterprises across sectors," said Achal Kataria, Vice President and India Country Head, Cognizant. "Drone services are one of the fastest growing technology segments with the potential to provide extraordinary value to industries such as agriculture, manufacturing, energy and utilities, retail and logistics," Kataria added. Cognizant and Garuda Aerospace are collectively set to bring a plethora of end-to-end drone-based management and monitoring offerings for businesses across sectors. For the agriculture sector, a new offering provides intelligent water and soil management, crop spraying, and aerial planting, among others.

RegTech allows companies to better manage regulatory compliance, but it is also a valuable tool to create added value and innovatively grow the business. But for this to be possible, companies need to implement specific technologies, which are the basic conditions for developing a good RegTech system, such as blockchain, AI, and RPA. When building a business and imagining strategies and ways to grow, one cannot help but take into account the regulations and operational and procedural requirements established by the legislature for a given industry, including when it comes to RegTech and regulations. Often, regulation is considered as an element that hinders or slows down the development of the business. In other words, one often perceives the conflict, the opposition between regulation and the development and growth of an entrepreneurial project.