In this episode, we discuss how on board diagnostic (OBD) ports came to be in modern cars and how they are being leveraged today for bring internet of things (IoT) to the automotive realm.
In this episode, we discuss how on board diagnostic (OBD) ports came to be in modern cars and how they are being leveraged today for bring internet of things (IoT) to the automotive realm.
Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error.
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.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
In this episode, we discuss how on board diagnostic (OBD) ports came to be in modern cars and how they are being leveraged today for bring internet of things (IoT) to the automotive realm.
Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error.
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.
EPFL research investigating the potential impact on education of AI assistants has found that systems like GPT-4 can answer up to 85% of university assessment questions correctly.
DECT NR+ (NR+) is a wireless connectivity standard and the world's first operator-free 5G technology specifically engineered from the ground up to address the previously unmet needs of the industrial IoT.
Artificial intelligence (AI) is rapidly transforming healthcare by leveraging machine learning techniques to analyze medical images, patient data, and genetic information with unprecedented speed and accuracy, significantly improving early disease detection and enhancing diagnostic precision.
Optical sensors are the “eyes” of industrial systems, relying on robust peripherals for reliable image processing. As sensors grow more powerful, challenges like data management, mechanical stress, and thermal issues in compact designs demand innovative solutions.
The Internet of Things (IoT) is revolutionizing industries through connectivity and automation, but underestimated battery life costs can significantly inflate the total cost of ownership (TCO) over time.
Efficient antenna technology is critical for IoT, smart metering, and industrial connectivity. This article explores how omnidirectional antennas are now in demand to simplify designs and enhance performance.
Large language models (LLMs) are increasingly automating tasks like translation, text classification and customer service. But tapping into an LLM’s power typically requires users to send their requests to a centralized server — a process that’s expensive, energy-intensive and often slow.
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.