Showing results for "Engineering Design" 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.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

The founder of Microsoft presents his vision for the future, in which he sees the digital technologies of the coming years changing the way we buy, work, learn, and communicate...

Already technology enables parents to select some genetic traits for their children, and soon it will be possible to begin to shape ourselves as a species. Countering loud cries of alarm, bioethics expert Ronald Green explains why our fears about genetic engineering are overblown and how we can move forward responsibly to create a better future.

Adrian Slywotzky and David Morrison are back with another brilliant and practical book dealing with the big issues that keep the managers of every company awake at night: How do I keep my company from being "Amazoned," and how do I "anticipate my competitors, launch a preemptive digital strike...