Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
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.
Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
To access information and services quickly and reliably, companies across all sectors are more invested in connectivity, which entails faster, more reliable networks and better encryption and security.
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
In Circuit Showdown, contestants must regroup after setbacks as they face a surprise twist in the industrial automation challenge. With only 4 hours to get it all done, their resilience is put to the test.
Circuit Showdown pits three engineering students against each other in a high-pressure design competition. With just four hours to build projects from scratch, they must showcase creativity and technical skills to impress the judges and win $40,000 in prizes.
The term "smart building" refers to buildings with a building management system that automatically manages and controls various types of energy used in the building, such as lighting, air-conditioning, and water heating, using technologies such as IoT and AI.
Beyond 5G (5th generation and later mobile communications system: hereinafter “B5G”) / 6G (6th generation mobile communications system) is expected to be applied and spread in popularity as a new form of information communications infrastructure from the 2030s.
The "smart home" is a near future housing concept that utilizes advanced information processing technologies to improve the efficiency and prosperity of life.