Machine Intelligence

Este no es un libro de oráculos o vaticinios, sino las reflexiones de dos autores que consideran que estar informados es la mejor forma de navegar la indefectible ola de la inteligencia artificial. En una conversación tan lúcida como estimulante, el neurocientífico superventas Mariano Sigman y el emprendedor Santiago Bilinkis repasan el origen, las utilidades y los riesgos de esta tecnología.

A particular form of AI is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible yet probing exposure of AI in its prevalent form today, proposing a new narrative to connect and make sense of events that have happened in the recent tumultuous past, and enabling us to think soberly about the road ahead.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

AI is a present reality: we live at the threshold of an AI-dominated era. AI is more than a Technology wave. In the 21st century and beyond it is the very core source of power that fuels politics, business, and society: our minds, our work, and our homes. AI also rewrites the rules and forces us to lose no time in rethinking fundamental questions of our humanity. Our human brains will soon be required to adapt at hyper speed to a new paradigm of omnipresent machine intelligence. We all have to deal with both its opportunities and threats in a conscious manner.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work.

Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved with so much of everything your brain does. Explaining how it works reveals more than just how you see. In We Know It When We See It, Harvard neuroscientist Richard Masland tackles vital questions about how the brain processes information - how it perceives, learns, and remembers - through a careful study of the inner life of the eye.

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

Artificial intelligence (AI) is on the verge of disrupting every domain of human existence. What does that mean for your business? Everything. Building on the power of AI is the factor that will determine success or failure in the very near future - and this in-depth guide from the man who designed the AI system that famously won Jeopardy provides everything you need to be a leader in this revolution.

Avez-vous remarqué que l’intelligence artificielle est le sujet de l’heure? Pourtant, depuis plus d’une décennie, cette réalité a changé radicalement nos vies, bien dissimulée dans notre nouvelle réalité virtuellement numérique. Après avoir partagé sa vision de la « Présence » avec un 1er livre dans le contexte des affaires et du marketing afin d'améliorer les relations clients et employés dans la réalité numérique, ce 2e livre exprime la même volonté de préserver la qualité relationnelle entre nous.

In this writing I will demonstrate that the scriptures emphatically teach a contingent of angels called “Holy Watchers” decided to have offspring with human women and knowingly commit this great abomination of sin toward the Most High. The Sons of God and the Divine Council mentioned in the Bible are these same “Holy Watchers” (a position of angelic authority) mentioned in Enoch and Jasher and in Genesis 6 that not only conceived children with human women but also gave mankind knowledge, technologies, and weapons.

The Impact Of Artificial Intelligence The Rise of the Machines: Artificial intelligence, or AI, has been a hot topic in recent years as advancements in technology have allowed for the development of increasingly sophisticated AI systems. From self-driving cars to virtual assistants like Siri and Alexa, AI is becoming increasingly integrated into our everyday lives. One of the key drivers of the rise of AI is the exponential growth of data, which has been fueled by the widespread adoption of smartphones, social media platforms, and the Internet of Things.

Unlock the transformative power of AI in the digital marketing realm with AI Marketing 2023: How to Use Artificial Intelligence to Improve Your Online Business Strategies. Dive deep into the integration of AI across various marketing channels, from email marketing automation to e-commerce optimization. Discover how AI-driven insights can revolutionize your marketing strategies, enhance customer engagement, and significantly boost ROI.

In AI and the Future of the Public Sector: The Creation of Public Sector 4.0, renowned executive and consultant Tony Boobier delivers a comprehensive reference of the most relevant and central issues regarding the adoption and implementation of AI in the public sector. In the book, you'll find out why data and analytics are the solution to significant and ongoing problems in the public service relating to its ability to effectively provide services in an environment of reduced funding.

Much has been written about the challenges tech presents to equality and democracy. But we can either criticize big data and automation or steer it to do better. Lobel makes a compelling argument that while we cannot stop technological development, we can direct its course according to our most fundamental values. With provocative insights in every chapter, Lobel masterfully shows that digital technology frequently has a comparative advantage over humans.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

Technology has grown greatly in the recent past from self-driving cars to automated warehouses to websites being able to suggest what videos we should watch next based on our preferences to showing us ads that relate to things we are interested in and the world we are living in these days. It is, perhaps, like a sci-fi scene from movies of some decades ago.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

What is artificial intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin explains how AI came about and how it has developed over the years through the construction of ever more sophisticated computer programs. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, as well as finding out how research into brain function is continually influencing this dynamic field.

A New York Times Magazine writer explores the Next Big Thing in tech - the impending revolution in voice recognition - and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but soon we may talk as fluently with our phones, appliances, cars, etc. as we do with any human.