Spectrum prediction is considered to be a promising technology that enhances spectrum efficiency by assisting dynamic spectrum access (DSA) in cognitive radio networks (CRN). Nonetheless, the highly nonlinear nature of spectrum data across time, frequency, and space domains, coupled with the intricate spectrum usage patterns, poses challenges for accurate spectrum prediction. Deep learning (DL), recognized for its capacity to extract nonlinear features, has been applied to solve these challenges. This paper first shows the advantages of applying DL by comparing with traditional prediction methods. Then, the current state-of-the-art DL-based spectrum prediction techniques are reviewed and summarized in terms of intra-band and crossband prediction. Notably, this paper uses a real-world spectrum dataset to prove the advancements of DL-based methods. Then, this paper proposes a novel intra-band spatiotemporal spectrum prediction framework named ViTransLSTM. This framework integrates visual self-attention and long short-term memory to capture both local and global long-term spatiotemporal dependencies of spectrum usage patterns. Similarly, the effectiveness of the proposed framework is validated on the aforementioned real-world dataset. Finally, the paper presents new related challenges and potential opportunities for future research.

Advanced AI systems capable of generating humanlike text and multimodal content are now widely available. In this paper, we discuss the impacts that generative artificial intelligence may have on democratic processes. We consider the consequences of AI for citizens' ability to make informed choices about political representatives and issues (epistemic impacts). We ask how AI might be used to destabilise or support democratic mechanisms like elections (material impacts). Finally, we discuss whether AI will strengthen or weaken democratic principles (foundational impacts). It is widely acknowledged that new AI systems could pose significant challenges for democracy. However, it has also been argued that generative AI offers new opportunities to educate and learn from citizens, strengthen public discourse, help people find common ground, and to reimagine how democracies might work better.

AGI, while powerful, could have negative consequences, warned Diveplane CEO Mike Capps and Liberty Blockchain CCO Christopher Alexander. Artificial general intelligence – the kind of AI that has capabilities similar to humans – may be far off and offer new opportunities, but experts warn it could be potentially dangerous, and have drastic implications for white-collar workers. "I'm about as excited about AGI as I am about nuclear fission," Diveplane CEO Dr. Michael Capps told Fox News Digital. "It's really amazing what we can do with it, it can power our society, but in the wrong hands, it can do some really dangerous stuff." While there is no one definition of AGI, a 2020 report from consulting giant McKinsey said such a machine would need to master human-like skills, such as fine motor skills and natural language processing.

Artificial intelligence (AI) enables people to spend more time with those that matter the most. AI is bringing people together, whether it's assisting in the planning of a family vacation, getting to a place securely, allowing everyone to see each other on a video call, or making gift shopping a little easier. The continuous evolution of AI has the potential to revolutionize the way we live, work, and interact with each other. While AI is often portrayed as a divisive force that could lead to job losses and social inequality, it also has the power to bring people together and create new opportunities for collaboration and cooperation. In this article, we will explore some of the ways in which AI can be used to bridge social, cultural, and linguistic barriers and foster greater understanding and empathy among diverse communities. One of the most significant benefits of AI is its ability to facilitate communication across different languages.

Artificial Intelligence is creating a buzzword with a significant aspect in the Finance sector. The financial sector around the world is trying to adopt & implement AI in its finance service capabilities. Exponential growth in the finance sector is measured in the last few years using Predictive Analysis. AI/machine learning technologies are helping bank business services to engage their potential customers. The rising popularity of messaging apps and the higher demands of customers in the banking, health, or wellness industry is giving chatbots a boost.

Google is using AI to help people facing disease and natural disasters, and to provide new opportunities for underserved communities. The potential of AI to solve big problems is increasing all the time. In the past few years, AI and transformational innovations have become more important in confronting some of society’s biggest challenges. Today, AI is helping countries and communities facing disease and natural disasters, and providing new opportunities for historically underserved groups. Here are seven ways AI is already making the world a better place: 1. Forecasting floods and helping people stay safe through early warning systems Last year…

Artificial Intelligence (AI) is revolutionizing the workplace and creating new opportunities for high-paying jobs. AI-driven systems are being used to automate tasks that were once done manually, allowing companies to save time and money and focus on more important tasks. AI-driven systems are also being used to analyze large amounts of data, enabling organizations to make more informed decisions and improve their operations. With the rise of AI-driven systems, new high-paying jobs are emerging that require specialized skills and knowledge. AI-driven systems are powering a variety of high-paying jobs, such as data scientists, machine learning engineers, AI specialists and more [1].

By Brandon Ginsberg, CEO at ApparelMagic, an ERP solution designed for fashion companies. As an AI enthusiast, I can tell you that artificial intelligence is quickly becoming a game-changer in the fashion industry. From design to marketing and sales, AI is affecting everything and offering businesses new opportunities to streamline their operations and reach new heights. But like with any technology, the impact of AI in fashion is not without its challenges. Today, I'll take a closer look at the impacts of AI in fashion and what they mean for the industry as a whole.

If you've ever thought about what will happen when AI takes over the world (and let's be honest, who hasn't?), then you've probably also considered that artificial intelligence could take your job. Many people think proposal writing is on the list of jobs that will be automated in the near future. Some people think AI will take our jobs in the future, including proposal writing. But there's a lot of uncertainty around what exactly AI is and how it works--and that uncertainty isn't just confined to the general public. There are many scientists and researchers who are still trying to figure it all out too. Let's start with how we define artificial intelligence: An artificial intelligence system is any system capable of performing tasks that normally require human intelligence (like recognizing objects, understanding speech).

Artificial intelligence (AI) is expected to have a significant impact on jobs in the coming years. According to a report by the World Economic Forum, the rise of AI and automation is expected to result in the displacement of 75 million jobs by 2025, while also creating 133 million new jobs in the same period. In this article, we will explore how AI is expected to impact jobs from 2025 to 2030. One of the major ways in which AI is expected to impact jobs is through automation. Automation refers to the use of technology to perform tasks that were previously done by humans.