In a step toward nanofluidic-based neuromorphic – or brain-inspired – computing, EPFL engineers have succeeded in executing a logic operation by connecting two chips that use ions, rather than electrons, to process data.
Designing efficient data center cooling systems requires a deep understanding of thermodynamics, energy metrics, airflow management, and emerging liquid cooling technologies. This article explains these concepts and provides practical guidance on implementing sustainable cooling solutions
This article presents a comprehensive technical analysis of CPLD vs FPGA, focusing on their architectural distinctions, performance metrics, design flows, and implementation methodologies.
CUDA Cores and Tensor Cores are specialized units within NVIDIA GPUs; the former are designed for a wide range of general GPU tasks, while the latter are specifically optimized to accelerate AI and deep learning through efficient matrix operations.
Discover the critical role of in-circuit testing in modern engineering, exploring its foundational principles, technological advancements, and real-world applications.
Measured in milliseconds, the response time to a tap on a smartphone’s screen might not be a “show stopping” issue, but a delay between an action and its reaction in the mobile gaming industry can make an important difference.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
Fabricated as a single chip, the new implant is orders of magnitude faster and smaller than today's state-of-the-art brain-computer interfaces, offering an opportunity for more efficacious treatment of a number of neurological conditions.
In this episode, we explore MIT's new system that turns spoken ideas into physical assemblies by linking speech-to-text, text-to-CAD, CAD-to-assembly, and robotic fabrication - pointing to a future where making hardware could be as easy as prompting an AI with your voice.
In a step toward nanofluidic-based neuromorphic – or brain-inspired – computing, EPFL engineers have succeeded in executing a logic operation by connecting two chips that use ions, rather than electrons, to process data.
Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don’t always tell the truth when providing personal information.
Through steady advances in the development of quantum computers and their ever-improving performance, it will be possible in the future to crack our current encryption processes.
This article provides a detailed understanding of microprocessor vs integrated circuit, their basics, key differences, future trends, challenges, and how they synergize to form the backbone of our digital systems.
The Defense Department’s largest research organization has partnered with a Princeton-led effort to develop advanced microchips for artificial intelligence.
Edge AI and sensor fusion revolutionize tech by enabling instant, informed decisions through multi-sensor data analysis. Explore their application by building a Smart Running Jacket with Sony Spresense and SensiEDGE CommonSense via Edge Impulse platform.
New research from Carnegie Mellon University’s Department of Mechanical Engineering and the Human+AI Design Initiative underlines the adage “teamwork makes the dream work,” especially when it comes to human-AI collaboration.
Nvidia’s CUDA cores are specialized processing units within Nvidia graphics cards designed for handling complex parallel computations efficiently, making them pivotal in high-performance computing, gaming, and various graphics rendering applications.