Tag: Artificial

  • Towards an International Political Economy of Artificial Intelligence by Tugrul

    Towards an International Political Economy of Artificial Intelligence by Tugrul



    Towards an International Political Economy of Artificial Intelligence by Tugrul

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    In recent years, the rapid development of artificial intelligence (AI) technology has raised important questions about its economic impact on the global stage. As AI becomes more prevalent in various industries, it is crucial to understand how this technology will shape the international political economy.

    One key aspect to consider is the potential for AI to disrupt traditional economic systems and create new opportunities for growth. For example, AI has the potential to increase productivity and efficiency in industries such as healthcare, transportation, and manufacturing. This could lead to significant economic gains for countries that are able to harness the power of AI effectively.

    However, there are also concerns about the potential negative effects of AI on the global economy. For example, there is a risk that AI could displace human workers in certain industries, leading to job losses and income inequality. Additionally, there are concerns about the concentration of power and wealth in the hands of a few tech giants that dominate the AI industry.

    To address these challenges, it is crucial to develop an international political economy of AI that promotes cooperation and collaboration among countries. This includes developing standards and regulations for the ethical use of AI, as well as fostering partnerships between governments, businesses, and civil society organizations to ensure that the benefits of AI are shared equitably.

    In conclusion, the development of AI has the potential to transform the global economy in profound ways. By working together to address the economic and political challenges posed by AI, we can ensure that this technology benefits all of humanity, rather than just a select few.
    #International #Political #Economy #Artificial #Intelligence #Tugrul, artificial intelligence

  • Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa

    Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa



    Strategy, Evolution, and War: From Apes to Artificial Intelligence by Kenneth Pa

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    In this post, we will explore the fascinating connection between strategy, evolution, and war, tracing the origins of conflict from our primate ancestors to the rise of artificial intelligence. Kenneth Pa, a renowned expert in the field, will guide us through the key milestones in the development of warfare tactics and the role of technology in shaping the future of conflict.

    From the early days of ape societies, where dominance hierarchies and territorial disputes laid the foundation for strategic thinking, to the emergence of sophisticated military strategies in ancient civilizations, the evolution of warfare has been a constant force driving human history. Pa will delve into the evolutionary roots of aggression and cooperation, shedding light on how these primal instincts continue to influence modern warfare.

    Furthermore, with the advent of artificial intelligence and advanced technologies, the nature of warfare is undergoing a profound transformation. Pa will discuss the implications of AI-driven warfare, from autonomous weapons systems to cyber warfare, and how these developments are reshaping the battlefield and challenging traditional notions of strategy.

    Join us as we embark on a journey through the ages, exploring the interconnectedness of strategy, evolution, and war, and gaining insights into the future of conflict in an increasingly technologically-driven world.
    #Strategy #Evolution #War #Apes #Artificial #Intelligence #Kenneth, artificial intelligence

  • 3 No-Brainer Artificial Intelligence (AI) Stocks to Buy for 2025 With $200 Right Now

    3 No-Brainer Artificial Intelligence (AI) Stocks to Buy for 2025 With $200 Right Now


    Artificial intelligence pushed many stock prices higher, but these three remain great values.

    The last two years have been dominated by artificial intelligence (AI) stocks. The influx of spending on AI infrastructure and development, combined with investors’ excitement around the potential for it to change multiple industries, pushed the prices of several companies’ stocks into astronomical territories. It may be hard to find a great company with a stock trading at a fair price for less than $200.

    But there could be a lot of growth left when it comes to investing in AI. The market for AI hardware and software is expected to grow between 40% and 55% per year through 2027, according to analysts at Bain.

    While many stocks already have those high expectations baked into the price, these three software and hardware makers all offer the chance to buy into their companies at good value. And the best part is that each stock trades for about $200, making them accessible to just about anyone interested in getting started with AI stocks.

    A circuit board with the outline of a brain overlaid and the letters AI printed inside it.

    Image source: Getty Images.

    1. Alphabet

    Alphabet (GOOG -1.27%) (GOOGL -1.28%) is the company behind Google. While many expected advances in AI from competitors to cut into Google’s business, Alphabet’s management successfully incorporated AI into its core products.

    The biggest change to search over the past year is the new AI overview. If you’ve typed a question into the Google search box in the last several months, you’ve probably seen AI-generated answers with links to its sources.

    Management says the new feature is increasing engagement and satisfaction among users, as they find Google can answer more of their questions. Meanwhile, its advancements in AI over the last 18 months enabled it to reduce the cost of using generative AI to answer those queries by 90%, enabling it to roll out the feature around the world.

    The company also uses its AI capabilities to offer new ways to search the web. One product, Circle to Search, allows users to circle words or images on a webpage while browsing on their Android smartphone and start a search. Google Lens makes searching the web as simple as taking a picture. Both increased valuable search types like product discovery and shopping.

    Meanwhile, Google Cloud, Alphabet’s cloud computing division, saw its revenue grow substantially as developers tap its compute for generative AI applications. Not only has revenue grown over the last two years, but it’s also now producing meaningful operating profits for Alphabet. Google Cloud generated $1.9 billion in operating income last quarter, up from $270 million a year ago and a loss of $700 million in the third quarter of 2022.

    Alphabet continues to innovate in AI. It launched the newest version of its large language model (Gemini 2.0) in December, along with AI agents built on the model to help with browser navigation and debugging computer code. Alphabet’s scale and distribution capabilities give it an advantage in developing and popularizing its AI-driven software.

    With shares trading at $194 as of this writing, the stock looks like a great value. Despite analysts’ expectations of double-digit earnings growth for years to come, it trades for just 22 times 2025 earnings expectations. That’s a bargain compared to other AI stocks.

    2. Qualcomm

    Qualcomm (QCOM -1.71%) is best known for its wireless patents, which cover 3G, 4G, and 5G connectivity. Every smartphone maker pays a license to Qualcomm to use its patents. That extremely high-margin revenue has helped fuel Qualcomm’s innovation in chipmaking, and it’s unlikely to change any time soon.

    Qualcomm makes chipsets for smartphones, ranging from simple baseband chips that allow phones to connect to a wireless network to the all-in-one Snapdragon line, which incorporates an application processor with a baseband or modem set. You can find a Snapdragon chip in most high-end Android phones.

    So far, Qualcomm’s chips haven’t had much to do with AI. That’s starting to change, though. In 2024, Qualcomm introduced a line of Snapdragon processors designed for Windows PCs with the aim of running on-device AI inferences. Keeping AI processes on-device ensures user data remains private and allows users to take advantage of AI capabilities without an internet connection.

    While the adoption of so-called “AI PCs” powered by Qualcomm’s chips has been slow, it seems more customers will likely demand on-device AI from their smartphones in the future. That requires higher-end processors, like Qualcomm’s Snapdragon. As a result, Qualcomm could end up taking more market share in smartphones over the next few years.

    Meanwhile, Qualcomm also has a burgeoning automotive chip segment. As automotive computers become increasingly complex and reliant on fast on-device AI processing, Qualcomm could prove a valuable supplier for automakers over the next few years. At its investor day in November, management said it had $45 billion in design wins in its automotive pipeline. For reference, the segment generated $2.9 billion in revenue during fiscal 2024.

    Qualcomm’s share price of less than $160 makes it a great way to play the future of on-device AI across smartphones and PCs, not to mention the massive potential in automotive. Analysts expect earnings growth of around 10% for each of the next two years, while shares trade for just 14 times forward earnings estimates. The potential for Qualcomm to expand its share across multiple devices makes it an appealing stock at this price.

    3. Taiwan Semiconductor Manufacturing

    Taiwan Semiconductor Manufacturing Company (TSM -1.38%), otherwise known as TSMC, is the largest chip manufacturer in the world. It contracts with the biggest chip designers, including Nvidia, Apple, and Broadcom to fabricate the most advanced AI chips on the market. It’s a dominant force, commanding over 60% of all spending for semiconductor foundries.

    TSMC commands such a strong market share due to its advanced technological capabilities. Nvidia CEO Jensen Huang praised TSMC in September, calling it the best in the industry “by an incredible margin.” Thanks to its massive market share, TSMC should be able to maintain that technology advantage. That gives it a lot more money than its competitors to invest in developing the next generation of technology, creating a virtuous cycle.

    TSMC has been a clear winner as demand for AI chips soars. Revenue increased 39% in the third quarter, and earnings soared 54% as its margins expanded due to demand. The demand was mostly fueled by AI-related chips, but strong smartphone orders also helped move the needle. Fourth-quarter revenue is on track for 31% growth, as well as strong margins.

    Investors should expect profit margins to contract as TSMC rolls out the next generation of its processes in late 2025. Still, they should expand over time as the company scales production, especially if demand for AI chips remains strong. With a growing need for high-end processing capabilities across devices, TSMC should be able to command an even greater share of semiconductor production over the next few years despite already holding a dominant position. As such, revenue should grow faster than the overall industry.

    At its current price of around $200, shares trade for about 23 times forward earnings. That said, strong margins and growing revenue put analysts’ consensus estimate for 2025 earnings growth at 27%. While TSMC might not maintain that growth rate, it won’t come down from there very quickly as it remains a key piece of the puzzle in the continued advancement of artificial intelligence. With such strong growth potential, TSMC is a no-brainer for $200.


    1. Alphabet Inc. (GOOGL)

      Alphabet Inc., the parent company of Google, is a major player in the artificial intelligence space. With its advanced AI technologies powering products like Google Assistant and Google Photos, Alphabet is well-positioned for continued growth in the AI sector. Investing in Alphabet stock is a no-brainer for anyone looking to capitalize on the future of AI.

    2. NVIDIA Corporation (NVDA)

      NVIDIA is another top AI stock to consider for 2025. The company is a leader in the development of graphics processing units (GPUs) that are essential for running AI algorithms. NVIDIA’s GPUs are used in a wide range of applications, from gaming to data centers, making it a versatile investment in the AI space. With a strong track record of innovation and growth, NVIDIA is a solid choice for investors looking to benefit from the AI revolution.

    3. Microsoft Corporation (MSFT)

      Microsoft is a tech giant that has been making significant strides in the AI field. The company’s Azure cloud platform offers a range of AI services, including machine learning and cognitive services, that are helping businesses leverage AI technologies. Microsoft’s commitment to AI research and development positions it well for future growth in the AI market. Investing in Microsoft stock is a smart move for those looking to tap into the potential of AI in the coming years.

      With $200 to invest, buying shares of these three AI stocks could provide a solid foundation for a profitable portfolio in 2025 and beyond. Keep an eye on the latest developments in the AI sector and consider adding these stocks to your investment strategy for long-term growth.

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    #NoBrainer #Artificial #Intelligence #Stocks #Buy

  • Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback

    Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback



    Introduction to Artificial Intelligence by Mariusz Flasi?ski (English) Paperback

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    Title: Introduction to Artificial Intelligence by Mariusz Flasiński (English) Paperback

    Are you ready to dive into the fascinating world of Artificial Intelligence (AI)? Look no further than “Introduction to Artificial Intelligence” by Mariusz Flasiński. This comprehensive guide is perfect for beginners looking to understand the basics of AI and its applications in today’s world.

    In this book, Flasiński breaks down complex AI concepts into easy-to-understand language, making it accessible for readers with varying levels of expertise. From machine learning and neural networks to natural language processing and robotics, this book covers a wide range of topics essential for anyone interested in AI.

    Whether you’re a student, professional, or simply curious about the future of technology, “Introduction to Artificial Intelligence” will provide you with a solid foundation to build upon. So grab a copy of this paperback today and start your journey into the exciting world of AI!
    #Introduction #Artificial #Intelligence #Mariusz #Flasiski #English #Paperback, artificial intelligence

  • AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,

    AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,



    AI & I: An Intellectual History of Artificial Intelligence, , Charniak, Eugene,

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    Artificial intelligence (AI) has been a topic of fascination and debate for decades, with the field evolving and growing at a rapid pace. In his book, “AI & I: An Intellectual History of Artificial Intelligence,” Eugene Charniak delves into the origins of AI, its key milestones, and the challenges that researchers have faced along the way.

    Charniak traces the roots of AI back to the 1950s and 1960s, when pioneers like Alan Turing and John McCarthy laid the foundation for the field. He explores the early attempts to create intelligent machines, from expert systems to neural networks, and examines the breakthroughs that have propelled AI forward.

    One of the key themes of the book is the ongoing debate over what truly constitutes intelligence and whether machines can ever truly replicate human thought. Charniak delves into the philosophical implications of AI, discussing questions of consciousness, free will, and ethics.

    Overall, “AI & I: An Intellectual History of Artificial Intelligence” offers a comprehensive and engaging look at the past, present, and future of AI. Whether you’re a seasoned expert in the field or simply curious about the potential of intelligent machines, this book is sure to spark your interest and deepen your understanding of this fascinating and ever-evolving technology.
    #Intellectual #History #Artificial #Intelligence #Charniak #Eugene,ai & i: an intellectual history of artificial intelligence

  • Artificial Intelligence in Music, Sound, Art and Design : 9th International C…

    Artificial Intelligence in Music, Sound, Art and Design : 9th International C…



    Artificial Intelligence in Music, Sound, Art and Design : 9th International C…

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    Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference

    The intersection of artificial intelligence and creative industries is a rapidly growing field, with groundbreaking innovations being made in music, sound, art, and design. The 9th International Conference on Artificial Intelligence in Music, Sound, Art, and Design aims to bring together researchers, artists, and industry professionals to explore the latest advancements in this exciting area.

    From AI-generated music compositions to virtual reality art installations, the conference will feature a diverse range of presentations, workshops, and panel discussions on the cutting-edge technologies shaping the future of creative expression. Topics to be covered include machine learning algorithms for music generation, AI-driven sound design tools, and computer vision applications in visual arts.

    Join us at the 9th International Conference on Artificial Intelligence in Music, Sound, Art, and Design to discover how AI is revolutionizing the way we create and experience art. Don’t miss this opportunity to connect with leading experts in the field and be at the forefront of the next wave of innovation in the creative industries.

    Stay tuned for more updates on speakers, sessions, and registration details. We look forward to seeing you at the conference!
    #Artificial #Intelligence #Music #Sound #Art #Design #9th #International #C.., artificial intelligence

  • Visual Artificial Insemination Gun Goat Insemination 15MP Camera 360° HD Screen

    Visual Artificial Insemination Gun Goat Insemination 15MP Camera 360° HD Screen



    Visual Artificial Insemination Gun Goat Insemination 15MP Camera 360° HD Screen

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    Are you looking for a high-tech solution for goat insemination? Look no further than our Visual Artificial Insemination Gun! This innovative device features a 15MP camera for crystal clear images, a 360° HD screen for optimal viewing, and precision control for accurate insemination. Say goodbye to traditional methods and upgrade to the future of goat breeding with our cutting-edge technology. Don’t miss out on this game-changing tool for your farm! #goatinsemination #artificialinsemination #technology #farmtech
    #Visual #Artificial #Insemination #Gun #Goat #Insemination #15MP #Camera #Screen, AI

  • From Turing to Deep Learning: A Comprehensive History of Artificial Intelligence

    From Turing to Deep Learning: A Comprehensive History of Artificial Intelligence


    Artificial intelligence (AI) has come a long way since its inception in the 1950s. From the early days of Alan Turing’s groundbreaking work to the rise of deep learning algorithms, the field of AI has seen tremendous advancements and innovations that have revolutionized various industries and changed the way we live and work.

    Alan Turing, a British mathematician and computer scientist, is widely regarded as the father of artificial intelligence. In the 1950s, Turing proposed the idea of a machine that could exhibit intelligent behavior indistinguishable from that of a human. This concept laid the foundation for the development of AI as we know it today.

    In the following decades, researchers and scientists made significant progress in AI research, developing algorithms and techniques to simulate human intelligence. One of the key milestones in AI history was the creation of the first artificial neural network in the 1950s, which paved the way for the development of deep learning algorithms.

    Deep learning, a subset of machine learning, has gained widespread popularity in recent years due to its ability to analyze large amounts of data and extract meaningful insights. Deep learning algorithms, such as neural networks, have been used in various applications, including image and speech recognition, natural language processing, and autonomous vehicles.

    The success of deep learning can be attributed to the availability of massive amounts of data and computational power, which have enabled researchers to train more complex and powerful models. Companies like Google, Facebook, and Amazon have invested heavily in deep learning research, leading to breakthroughs in AI technology and the development of innovative products and services.

    Today, deep learning is at the forefront of AI research, with researchers continuing to push the boundaries of what is possible with artificial intelligence. From self-driving cars to virtual assistants, deep learning algorithms are powering a new wave of intelligent systems that are reshaping our world.

    As we look to the future, it is clear that artificial intelligence will play an increasingly important role in our society. From healthcare to finance, education to entertainment, AI has the potential to transform every aspect of our lives and drive innovation and progress in ways we never thought possible.

    In conclusion, the history of artificial intelligence is a testament to human ingenuity and innovation. From Turing’s pioneering work to the rise of deep learning algorithms, the field of AI has come a long way and continues to evolve at a rapid pace. As we continue to explore the possibilities of artificial intelligence, one thing is certain – the future of AI is bright.


    #Turing #Deep #Learning #Comprehensive #History #Artificial #Intelligence,ai & i: an intellectual history of artificial intelligence

  • Artificial Intelligence: An Illustrated History: From Medieval Robots to Neur…

    Artificial Intelligence: An Illustrated History: From Medieval Robots to Neur…



    Artificial Intelligence: An Illustrated History: From Medieval Robots to Neur…

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    al Networks

    Artificial Intelligence has come a long way since its inception, with roots dating back to ancient civilizations and medieval times. In this illustrated history, we will explore the evolution of AI from the early days of mechanical robots to the advanced neural networks of today.

    1. Mechanical Automatons: The concept of artificial beings dates back to ancient civilizations, with the Greeks and Egyptians creating mechanical automatons to mimic human behavior. These early robots were powered by intricate systems of gears and levers, and were often used for entertainment or religious purposes.

    2. The Renaissance: During the Renaissance, inventors like Leonardo da Vinci and Al-Jazari furthered the development of automata, creating lifelike robots that could perform complex tasks. These early machines laid the foundation for the future of artificial intelligence.

    3. The Industrial Revolution: The Industrial Revolution brought about a new wave of innovation in the field of automation, with machines taking over tedious and dangerous tasks in factories. This period saw the birth of the first programmable devices, setting the stage for the development of modern computers.

    4. The Turing Test: In the 1950s, mathematician Alan Turing proposed the Turing Test as a measure of a machine’s intelligence. This test, which involves a human judge interacting with a computer and a human, has become a benchmark for assessing AI capabilities.

    5. Neural Networks: In recent years, artificial intelligence has made significant advancements in the form of neural networks. These complex systems of interconnected nodes are inspired by the human brain, allowing machines to learn from data and make decisions autonomously.

    From medieval robots to neural networks, the history of artificial intelligence is a testament to human ingenuity and innovation. As technology continues to evolve, the possibilities for AI are endless, with the potential to revolutionize industries and improve our daily lives.
    #Artificial #Intelligence #Illustrated #History #Medieval #Robots #Neur..

  • How GNN is Shaping the Future of Artificial Intelligence

    How GNN is Shaping the Future of Artificial Intelligence


    Artificial intelligence (AI) is rapidly transforming the way we live and work, and one technology that is playing a crucial role in this transformation is Generative Neural Networks (GNN). GNNs are a type of neural network that is capable of generating new data based on patterns learned from existing data. This capability has profound implications for a wide range of industries, from healthcare to finance to entertainment.

    One of the key ways in which GNNs are shaping the future of AI is through their ability to generate realistic and high-quality images, videos, and text. This has opened up new possibilities for creative expression and storytelling, as well as for improving the efficiency and accuracy of tasks such as medical imaging and video surveillance. GNNs are also being used to create realistic avatars and virtual environments for applications such as virtual reality and gaming.

    Another important application of GNNs is in the field of natural language processing (NLP). GNNs can be used to generate human-like text and speech, making it easier for machines to interact with humans in a more natural and intuitive way. This has significant implications for chatbots, virtual assistants, and other applications that rely on language understanding and generation.

    In addition to their applications in image and text generation, GNNs are also being used in fields such as drug discovery, financial modeling, and autonomous driving. By generating new data and insights based on existing data, GNNs are helping researchers and practitioners make faster and more accurate decisions in complex and data-rich environments.

    Overall, GNNs are playing a crucial role in shaping the future of AI by enabling machines to generate new data and insights based on patterns learned from existing data. This has the potential to revolutionize a wide range of industries and applications, making AI more powerful, versatile, and human-like than ever before. As researchers and developers continue to explore the capabilities of GNNs, we can expect to see even more exciting and transformative applications of this technology in the years to come.


    #GNN #Shaping #Future #Artificial #Intelligence,gnn