Explore the fundamentals of FPGA programming, step-by-step design flow, HDL choices, and practical techniques used by digital designers and hardware engineers to build efficient, real-world digital systems.
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 reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
The first project is developing light-based chips to bridge the gap between photonics and electronics. The second project plans to make blood cells using blood stem cells. The two projects are the first ERC Synergy grants for TU/e.
Fine-tuning large language models adapts pre-trained models to specific tasks or domains using tailored datasets, while Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models to dynamically incorporate external, up-to-date knowledge into outputs.
In this episode, we explore a groundbreaking neurotechnology that boosts memory without the need for invasive surgery potentially helping people all over the world struggling with spatial memory.
Thin film deposition applies material layers at the atomic/molecular level, vital for advancing electronics, energy, and aerospace. Key methods like CVD, PVD, and ALD enhance material properties, driving innovations in semiconductors, solar cells, and precision tech.
This article presents a comprehensive technical analysis of CPLD vs FPGA, focusing on their architectural distinctions, performance metrics, design flows, and implementation methodologies.
EPFL researchers have combined virtual reality, non-invasive brain stimulation and advanced brain imaging techniques to improve spatial navigation in healthy participants. The study is a first step in addressing dementia in an aging population without medication or surgery.
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.
Edge AI Technology Report: Generative AI Edition
Chapter 1. Generative AI's demand for real-time insights is driving a shift from cloud to edge computing, enabling faster, local processing on devices and reducing cloud latency and bandwidth constraints.
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.