Official Gazette of the United States Patent Office PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Official Gazette of the United States Patent Office PDF full book. Access full book title Official Gazette of the United States Patent Office by United States. Patent Office. Download full books in PDF and EPUB format.
Author: United States. Patent Office
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 1830
Get Book Here
Book Description
Author: United States. Patent Office
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 1830
Get Book Here
Book Description
Author:
Publisher: Delene Kvasnicka
ISBN:
Category :
Languages : en
Pages : 800
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 1002
Get Book Here
Book Description
Author: USA Patent Office
Publisher:
ISBN:
Category :
Languages : en
Pages : 1524
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Mechanical engineering
Languages : en
Pages : 932
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Mines and mineral resources
Languages : en
Pages : 912
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 436
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Encyclopedias
Languages : en
Pages : 1578
Get Book Here
Book Description
Author: United States. Patent and Trademark Office
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 1402
Get Book Here
Book Description
Author: Wojciech Samek
Publisher: Springer Nature
ISBN: 3030289540
Category : Computers
Languages : en
Pages : 435
Get Book Here
Book Description
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
