Artificial Intelligence (AI) and High-Performance Computing (HPC) are two cutting-edge technologies revolutionizing industries across the globe. The integration of AI into HPC environments opens up a world of possibilities for…
AI hardware customization is revolutionizing the field of artificial intelligence by optimizing neural network performance. As AI continues to grow and evolve, traditional hardware solutions like CPUs are proving to…
AI-driven software testing has revolutionized the software development landscape, improving software quality and accelerating time-to-market for AI systems. The complexity of AI hardware necessitates robust testing protocols to ensure reliable…
AI accelerators, such as those used in neural networks, generate a significant amount of heat that needs to be effectively cooled to ensure peak performance. Data centers and edge devices…
Robotics and Autonomous Systems (RAS) integrate robotics, artificial intelligence (AI), machine learning, sensors, actuators, and control systems to develop intelligent machines. These machines have applications in manufacturing, healthcare, autonomous vehicles,…
Mobile AI chipsets and on-device neural network processing are revolutionizing the capabilities of smartphones. Companies like Qualcomm, Apple, Huawei, MediaTek, and Samsung are leading the way in developing mobile AI…
Artificial intelligence (AI) is transforming industries with advanced analytics, automation, and personalized experiences. To unlock the full potential of AI technologies, organizations must optimize their infrastructure for AI workloads. This…
As AI and neural network technologies continue to advance, the demand for high-performance networking solutions in AI data centers is on the rise. Traditional cloud data centers have evolved to…
Artificial intelligence (AI) is revolutionizing industries and driving the need for advanced hardware solutions. To stay competitive in this fast-paced landscape, organizations must plan for AI hardware upgrades that can…
Modular systems in deploying neural networks offer several advantages. These systems mimic the structure and functions of the human brain while drawing inspiration from corporate network structures. They enhance efficiency,…
Artificial Intelligence (AI) is swiftly becoming an integral part of our everyday lives. However, with convenience comes vulnerability to attacks. Ensuring the security of AI deployments is crucial to safeguard…
With advances in computing, AI models and machine learning are revolutionizing industries across the board. However, the computational demands of AI workloads often come at a significant cost in terms…
AI-empowered neural processing devices are revolutionizing the field of wearable biomedical devices by offering real-time classification of biomedical information with lower energy consumption. These devices utilize customised silicon chips that…
As the use of artificial intelligence (AI) and edge computing continues to grow, the demand for efficient cooling strategies for edge AI devices is increasing. Edge AI devices enable computation…
Deep learning has become the most common implementation of neural networks for AI tasks. Enterprises are looking for ways to run deep learning frameworks in their own data centers to…