There has been a growing interest in research and commercial applications for PICs for various markets, including medical technology (MedTech), as they offer compact optical solutions at a low cost when mass-produced.
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.
There has been a growing interest in research and commercial applications for PICs for various markets, including medical technology (MedTech), as they offer compact optical solutions at a low cost when mass-produced.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
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.