Showing results for "Computer Science Engineering" in Computer Science

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

If you’re ready to save time, slash costs, and grow faster in a world moving at AI speed, this 3-in-1 guide is your ultimate shortcut. Whether you’re a solo entrepreneur, a leader navigating digital change, or just AI-curious, this audiobook distills the core systems behind AI Agents, Prompt Engineering, and Generative AI into a powerful, beginner-friendly format.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

Companies all over the world are being buffeted by new technologies, disruptive business models and start-up innovation. Business leaders know that they need to adopt these new technologies like blockchain, artificial intelligence and Internet of things, and transform their companies using them...

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

From medieval robots and Boolean algebra to facial recognition, artificial neural networks, and adversarial patches, this fascinating history takes listeners on a vast tour through the world of artificial intelligence. Award-winning author Clifford A. Pickover explores the historic and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy, and considers the enduring threat to humanity should AI grow out of control.

Weighing in from the cutting-edge frontiers of science, today’s most forward-thinking minds explore the rise of “machines that think.” Stephen Hawking recently made headlines by noting, “The development of full artificial intelligence could spell the end of the human race.” Others...

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we...

The Age of Living Machines describes some of the most exciting new developments and the scientists and engineers who helped create them. Virus-built batteries. Protein-based water filters. Cancer-detecting nanoparticles. Mind-reading bionic limbs. Computer-engineered crops. Together they highlight the promise of the technology revolution of the 21st century to overcome some of the greatest humanitarian, medical, and environmental challenges of our time.

Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. Automation was once associated with mass layoffs in heavy industry like auto and steel, but computers are getting smarter and are beginning to replace traditionally 'white collar' roles like law, consulting, banking and finance. Yet some curious findings are emerging from the world's leading research labs.

Könnten Sie in wenigen Sätzen erklären, was Augmented Reality bedeutet? Was digitale Disruption oder Smart Health ausmacht? Wer der vielzitierte Homo Deus ist? Falls nicht, gehören Sie zu der großen Mehrheit derer, die zwar in und mit der Digitalisierung leben und arbeiten, die aber meist passen müssen, wenn es darum geht, die Schlagworte konkret zu erläutern. Es gibt viele spannende Publikationen über Digialisierung, aber keine, die den gesamten Themenkomplex erfasst und darlegt.

Alan Turing can be regarded as one of the greatest scientists of the 20th century. But who was Turing, and what did he achieve during his tragically short life of 41 years? Best known as the genius who broke Germany's most secret codes during the war of 1939-45, Turing was also the father of the modern computer. Today, all who 'click-to-open' are familiar with the impact of Turing's ideas. Here, B. Jack Copeland provides an account of Turing's life and work, exploring the key elements of his life-story in tandem with his leading ideas and contributions.

The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action.

This audiobook’s content and entertaining style will appeal equally to science-fiction enthusiasts and scholars, including cognitive and neuroscientists, as well as philosophers of mind. It is a refreshing romp through the science and science fiction of consciousness.

What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds.

From quantum computing to VR training, and from 3D-printing to brain-computer interface, new technologies are reshaping business on the factory floor and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating - and avoid falling victim to disruption? The Year in Tech, 2022 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

■因果を求めない人工知能の世界 先日、人工知能に関する事業をしている人と合う機会がありました。 僕の会社が展開している採用系のサービスでも、人工知能などを用いることで、 マッチング部分でもっと手間を省いた方が絶対にいいと思っている。会社側がどういった人を求めているのか、応募者がどういった会社を望んでいるのかっていうことは、履歴書にたくさん文章を書けば伝わる問題でもないから。 もちろん最後は人間が面談することが必要なんだけど、その手前で機械ができる ことの精度を高められれば、可能性が広がるんじゃないかな。 例えばビッグデータやディープラーニング。これらは、今のトレンドといっちゃ あトレンドです。大量のデータを処理することで、あらゆることの確率が表で表 せるようになる。」(本文より) 家入一真　「家入学級」はこちらから→ http://yakan-hiko.com/ieiri.html