Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Traditional AI-powered waste classification systems rely on supervised learning methods. These require extensive labeled ...

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, ...

The new system uses visual icons to indicate the extent of human and AI involvement in producing content — be it for ideation ...

Discover how the UAE is pioneering the integration of AI into everyday life, from content transparency in Dubai to smart ...

But with that power comes vulnerability, and one of the most pressing—yet often overlooked—threats today is data poisoning. In this new digital landscape, the integrity of AI systems depends entirely ...

RoHS focuses on a specific list of restricted substances in EEE, while REACH addresses a wider range of chemicals, including ...

Most Australian adults are confused about what ultra-processed foods (UPFs) are and often misidentify them based on packaging cues. The study highlights strong support for better labelling and public ...

Two dangerous vulnerabilities in around 750 printer models that became known in June are being actively attacked. High time ...

Over the first weeks of July 2025, the U.S. Food and Drug Administration (FDA) has issued several announcements heralding new policies and ...

Without a common language for describing data, finding relevant Earth science datasets ... The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting ...