In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

A novel nanozyme aptasensor array achieves 100 % accuracy in classifying Staphylococcus aureus strains, enhancing rapid ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...

Former Hyland CEO, Bill Priemer, brings decades of insight and leadership to bolster KeyMark's strategic planning and ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...

Working across India, THT works with over 120 partners covering an area of over six lakh hectares. It has developed cutting-edge technologies to solve complex conservation challenges.