MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Nature’s annual list of technologies to watch is a chance to celebrate progress and stimulate research into both ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
The Verification-Value Paradox states that increases in efficiency from AI use “will be met by a correspondingly greater ...
We need to reimagine global governance. In public health, we now accept that human and planetary wellbeing are inseparable. The climate crisis, biodiversity loss, pollution, pandemics, and inequity ...
This study argues that open and distance learning (ODL) continues to function as a platform for producing factory-like workers and white-collar laborers whose primary function is to serve the ...
Abstract: The rapid expansion of email usage has been paralleled by a significant rise in spam, which not only clutters inboxes but also spreads malware and introduces serious security threats. While ...