Go beyond C by applying modern C++ in embedded systems to enhance code readability, maintainability, and scalabilityKey FeaturesBridge the gap between C and modern C++ for embedded systems through practical examplesLearn how to save memory and cut down on runtime computing using compile-time computation techniquesImprove your software design skills by applying patterns to solve common problems in embedded systems using C++Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionTransitioning from C can be daunting, with concerns about performance overhead, added complexity, and unfamiliar tooling.
Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.
Die effiziente Entwicklung neuer, differenzierender fachlicher Prozesse in heterogenen Systemlandschaften ist seit jeher eine der größten Herausforderungen für Unternehmen.
The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector.
Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence.
ARM Assembly Language: Fundamentals and Techniques, Third Edition explains in clear terms how ARM processors are programmed at the most fundamental level.
Numerical Methods for Engineering and Data Science guides students in implementing numerical methods in engineering and in assessing their limitations and accuracy, particularly using algorithms from the field of machine learning.
Build a resilient, cloud-native foundation by tackling common anti-patterns head on with practical strategies, cultural shifts, and technical fixes across AWS, Azure, and GCPKey FeaturesIdentify common anti-patterns in agile cloud-native delivery and learn to adopt good habitsLearn high-performing cloud-native delivery with expert strategies and real-world examplesGet prescriptive guidance on how to spot and remediate anti-patterns in your organizationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSuccessfully transitioning to a cloud-native architecture demands more than just new tools-it requires a change in mindset.
This proceedings volume contains selected papers presented at the 2014 International Conference on Informatics, Networking and Intelligent Computing, held in Shenzhen, China.
The Practical Handbook of Internet Computing analyzes a broad array of technologies and concerns related to the Internet, including corporate intranets.
Until now, developers and researchers interested in the design, operation, and performance of Bluetooth networks have lacked guidance about potential answers and the relative advantages and disadvantages of performance solutions.
With the massive and pervasive diffusion of robotics technology in our society, we are heading towards a new type of AI, which we call Physical AI at the intersection of Robotics with AI, that is the science of robots and intelligent machines performing a physical action to help humans in their jobs of daily lives.
In recent years, socio-political trends toward environmental responsibility and the pressing need to reduce Run-the-Engine (RTE) costs have resulted in the concept of Green IT.
