These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

Explore the evolution of image annotation—from manual labeling to AI automation—powering innovations in healthcare, retail, ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

This includes military training, for which Raytheon UK’s chief technology officer for training transformation services, Alex Smith, predicted that an emerging concept known as metacognition – or as he ...

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.

The emergence of Industry 5.0 marks a paradigm shift toward human-centric, sustainable, and resilient manufacturing. Unlike ...

By automating the end-to-end machine learning pipeline, it empowers less-experienced developers to build high-quality models ...

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The National Geospatial-Intelligence Agency (NGA) and the Army’s 18th Airborne Corps in May successfully tested a prototype tool that uses imagery data ...