Price: $118.95 - $105.67
(as of Dec 25,2024 01:30:22 UTC – Details)

From the brand

IEEE, the world’s largest technical professional organization, partners with Wiley to bring to you high-quality books and reference works in electrical engineering and computer science.

Written by leading experts, the books are authoritative and cutting-edge and cover in-demand topics in these important areas of research.

Learn More

Learn More

Publisher ‏ : ‎ Wiley-IEEE Press; 1st edition (August 31, 2021)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 240 pages
ISBN-10 ‏ : ‎ 1119810450
ISBN-13 ‏ : ‎ 978-1119810452
Item Weight ‏ : ‎ 14.1 ounces
Dimensions ‏ : ‎ 0.39 x 0.39 x 0.39 inches

Artificial Intelligence Hardware Design: Challenges and Solutions

As the demand for artificial intelligence (AI) continues to grow, so does the need for efficient and powerful hardware to support these advanced technologies. Designing hardware for AI applications presents a unique set of challenges that must be addressed in order to fully harness the potential of AI.

One of the main challenges in AI hardware design is the need for high performance and energy efficiency. AI applications require significant computational power to process large amounts of data and complex algorithms. This often leads to increased power consumption and heat generation, which can limit the performance and reliability of the hardware.

To address this challenge, designers are exploring new architectures and technologies that can improve the efficiency of AI hardware. This includes the use of specialized processors such as graphics processing units (GPUs) and neural processing units (NPUs) that are optimized for AI workloads. These processors can accelerate the processing of neural networks and other AI algorithms, leading to improved performance and energy efficiency.

Another challenge in AI hardware design is the need for scalability and flexibility. AI applications often require hardware that can be easily scaled to accommodate changing workloads and requirements. This requires a modular and flexible design that can adapt to different AI tasks and algorithms.

To address this challenge, designers are developing hardware platforms that can be easily reconfigured and upgraded to meet the needs of different AI applications. This includes the use of field-programmable gate arrays (FPGAs) and other reconfigurable hardware technologies that can be customized for specific AI tasks.

Overall, designing hardware for AI applications requires a careful balance of performance, efficiency, scalability, and flexibility. By addressing these challenges with innovative solutions, designers can create hardware that can support the next generation of AI technologies and drive advancements in the field.
#Artificial #Intelligence #Hardware #Design #Challenges #Solutions