When Nikola Tesla predicted we’d have handheld phones that could display videos, photographs, and more, his musings seemed like a distant dream. Nearly 100 years later, smartphones are like an extra appendage for many of us.
When you think about hands-free devices, you might picture Alexa and other voice-activated in-home assistants, Bluetooth earpieces, or asking Siri to make a phone call in your car. You might not imagine using your mouth to communicate with other devices like a computer or a phone remotely.
Photoresist, a light-sensitive material, is essential in photolithography for transferring intricate circuit patterns onto semiconductor wafers. This article explores positive vs. negative photoresists, detailing their chemical mechanisms, processing parameters, and performance traits.
A single point of failure is any part whose failure stops the whole system. Learn how engineers find SPOFs with FMEA and fault trees, quantify them with reliability math, and remove them with N+1, 2N, failover, quorum, and voting designs, and why common cause failures can still defeat redundancy.
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.
Researchers have developed a new kind of nanoelectronic device that could dramatically cut the energy consumed by artificial intelligence (AI) hardware by mimicking the human brain.
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.
When Nikola Tesla predicted we’d have handheld phones that could display videos, photographs, and more, his musings seemed like a distant dream. Nearly 100 years later, smartphones are like an extra appendage for many of us.
When you think about hands-free devices, you might picture Alexa and other voice-activated in-home assistants, Bluetooth earpieces, or asking Siri to make a phone call in your car. You might not imagine using your mouth to communicate with other devices like a computer or a phone remotely.
Photoresist, a light-sensitive material, is essential in photolithography for transferring intricate circuit patterns onto semiconductor wafers. This article explores positive vs. negative photoresists, detailing their chemical mechanisms, processing parameters, and performance traits.
A research team at Texas A&M has received a $1.8M National Science Foundation Future of Semiconductor grant to develop new energy-efficient interconnect technologies for microchips.
Making your prototype from the same materials using the same manufacturing processes and facilities as your final product ensures accurate testing and better final results. This article also outlines other best practices.
Edge computing: a decentralized computing paradigm that processes data closer to the source, reducing latency and enabling more efficient use of resources.
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on devices at the network’s edge (periphery), rather than on large cloud servers. In simple terms, edge AI is the fusion of devices and artificial intelligence.
Programmable Logic Controllers (PLCs) enable precise control over various tasks involved in industrial automation processes. Among the many functionalities that PLCs offer, timers and counters are critical tools for automating tasks, working to enhance automation efficiency and boosting accuracy.
Researchers have found that AI large language models, like GPT-4, are better at predicting what comes next than what came before in a sentence. This “Arrow of Time” effect could reshape our understanding of the structure of natural language, and the way these models understand it.