The thought-provoking analogy between AI and electricity, made by computer scientist and entrepreneur Andrew Ng, summarizes the deep transformation that recent advances in Artificial Intelligence (AI) have triggered in the world. This chapter presents an overview of the ever-evolving landscape of AI, written in Portuguese. With no intent to exhaust the subject, we explore the AI applications that are redefining sectors of the economy, impacting society and humanity. We analyze the risks that may come along with rapid technological progress and future trends in AI, an area that is on the path to becoming a general-purpose technology, just like electricity, which revolutionized society in the 19th and 20th centuries. A provocativa compara\c{c}\~ao entre IA e eletricidade, feita pelo cientista da computa\c{c}\~ao e empreendedor Andrew Ng, resume a profunda transforma\c{c}\~ao que os recentes avan\c{c}os em Intelig\^encia Artificial (IA) t\^em desencadeado no mundo. Este cap\'itulo apresenta uma vis\~ao geral pela paisagem em constante evolu\c{c}\~ao da IA. Sem pretens\~oes de exaurir o assunto, exploramos as aplica\c{c}\~oes que est\~ao redefinindo setores da economia, impactando a sociedade e a humanidade. Analisamos os riscos que acompanham o r\'apido progresso tecnol\'ogico e as tend\^encias futuras da IA, \'area que trilha o caminho para se tornar uma tecnologia de prop\'osito geral, assim como a eletricidade, que revolucionou a sociedade dos s\'eculos XIX e XX.

Bank of America strategists identified 20 stocks poised to benefit from the intense enthusiasm surrounding artificial technology, as a host of companies scramble to capitalize on ChatGPT's viral moment. Bank of America identified 20 stocks poised to cash in on the AI craze. Microsoft, partial owner of ChatGPT parent OpenAI, unsurprisingly headlined the picks outlined in the Tuesday note to clients, as the bank lauded the tech giant's "recent success with AI-driven offerings" and the upside the technology brings for its Bing search engine; the analysts set a $300 price target for the company's stock, indicating 20% upside. The strategists, led by Eric Lopez, also recommend buying Google-parent Alphabet, Facebook-parent Meta and Chinese Baidu, Microsoft and OpenAI's most direct competitors in the generative technology space, after each announced expansions to their respective units in recent weeks. Analysts identified American technology giants Adobe, Arista Networks, Nvidia, Palantir, and Shutterstock as firms who provide essential technology for artificial intelligence or who already use the technology in different end cases.

What if I tell you that you can enable your own device to write for you in your own style in under 100 lines of code? The idea to make your device write on your behalf is remarkably inspiring. This practice is referred to as Text Generation or Natural Language Generation, which is a subfield of Natural Language Processing (NLP). The fundamentals of text generation can be easily broken down into a simple supervised machine learning problem, wherein, there exists certain features (called x) with their corresponding labels (called y), and using these we can create our own prediction function which will then generate our predicted labels (called y or yhat). We then map these predicted labels to the actual labels to determine the cost and optimise it using an optimisation algorithm such as Gradient Descent, RMSprop or even the Adam optimiser.

You can totally skip it. Remember the time electricity was invented in 18th century? Well we don't remember but we can't deny the fact that how it revolutionized all of the industries. I can't spend a day without it. Now imagine form few years now, we can't spent a day without machine learning.

It can be said the same for Deep Convolutional Neural Network (CNN) and Computer Vision: Convolutional Neural Network is the new electricity for Computer Vision. CNNs are truly a diamond for the Machine Learning community, especially in the rapidly growing field of Computer Vision. They are the backbones of a myriad of fundamental tasks in computer vision, from as simple as image classification (but was considered very challenging or intractable just more than 2 decades ago) to more complicated tasks, including image segmentation, image super-resolution, and image captioning. This is why there has been a growing interest in CNN in both academics and industry in the past decade. Although many engineers and students are practicing and using CNNs on a day-by-day basis, most people lack a comprehensive theoretical view of Convolution and Pooling blocks, the two most basic building blocks of any CNN.

Guo Ping, rotating chairman of Huawei, has painted a stunningly optimistic picture of high-speed 5G wireless technology, claiming it will be "the new electricity" when combined with other emergent technologies such as artificial intelligence. Guo, who has worked at Huawei for over thirty years since he joined the firm as a 22-year-old, was speaking at the Web Summit technology conference in Lisbon, Portugal on Monday. Huawei employs a system whereby top execs rotate in and out of the position of chairman for months-long stints, while CEO Ren Zhengfei remains in place. Addressing a sold-out crowd, Guo drew a lengthy comparison between 5G and the technological harnessing of electricity for human use. He said: "5G plus'x' will create a smart new era. This'x' can be AI, big data or VR/AR, among other technologies. As you all know, 5G deployment has just begun. AI's applications for a range of industries are still in their infancy. I believe that in the future, 5G plus'x' will create countless possibilities for entrepreneurs."

Someday you might have a significant relationship with your toaster. With a few silicon chips and the right programming, it'll use its considerable downtime to compose original musical interludes to play while your English muffin is browning. It'll text you Haikus designed to make you smile: This change won't happen by itself. Students are working hard to master the art and science of designing machines that learn, make decisions, create, think. Starting this fall, the Illinois Institute of Technology -- in recent years branding itself as the more brawny "Illinois Tech" -- became the only college in the Midwest to offer an undergraduate major in artificial intelligence, creating the systems that will guide everything from robots to trucks to medical care.

The British-born computer scientist, Andrew Ng, is a leading thinker on artificial intelligence (AI) and has been a pioneer in its application for many years. He founded the Google Brain project, served as Chief Scientist at Baidu, and co-founded the online learning platform, Coursera. Today, in addition to his academic work at Stanford University (USA), Mr. Ng is heading up two startups: Landing AI, which works with enterprises to adopt AI, and deeplearning.ai, Mr. Ng recently spoke with WIPO Magazine about the transformative power of AI, and the measures required to ensure that AI benefits everyone. AI is the new electricity.

Since the term "AI" was first coined by cognitive scientist Richard McCarthy and his team in preparation for the 1956 Dartmouth AI Conference, machines that can demonstrate human-like intelligence have been the holy grail of the artificial intelligence field. AI has certainly endured some rough times; falling well short of the hype popularized by media in addition to the unrealistic expectations that were created and not met by the reality of AI's narrow capabilities. Along with the underestimation of AI project costs, this of all contributed to busts and disappointments in the field. Despite these past disappointments, the recent convergence of technology improvements in the fields of computing power, automation, hardware capabilities, cloud, big data, and advanced analytics have brought AI starkly back to the forefront of research and business today. AI is being hailed as the new electricity, primarily due to the transformative influence it will likely exert on all facets of our lives.

Since the term "AI" was first coined by cognitive scientist Richard McCarthy and his team in preparation for the 1956 Dartmouth AI Conference, machines that can demonstrate human-like intelligence have been the holy grail of the artificial intelligence field. AI has certainly endured some rough times; falling well short of the hype popularized by media in addition to the unrealistic expectations that were created and not met by the reality of AI's narrow capabilities. Along with the underestimation of AI project costs, this of all contributed to busts and disappointments in the field. Despite these past disappointments, the recent convergence of technology improvements in the fields of computing power, automation, hardware capabilities, cloud, big data, and advanced analytics have brought AI starkly back to the forefront of research and business today. AI is being hailed as the new electricity, primarily due to the transformative influence it will likely exert on all facets of our lives.