Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Abstract: Developments in space-based hyperspectral sensors, advanced remote sensing, and machine learning can help crop yield measurement, modelling, prediction, and crop monitoring for loss ...
Abstract: A physics-driven machine learning (ML) algorithm that integrates radiative transfer model (RTM) simulation and ML techniques has been developed to facilitate multilayer cloud property ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
With the current buzz around artificial intelligence (AI), it would be easy to assume that it is a recent innovation. In fact, AI has been around in one form or another for more than 70 years. To ...
In February, OpenAI released videos created by its generative artificial intelligence program Sora. The strikingly realistic content, produced via simple text prompts, is the latest breakthrough for ...
Tuberculous meningitis (TBM) poses a diagnostic challenge, particularly impacting vulnerable populations such as infants and those with untreated HIV. Given the diagnostic intricacies of TBM, there’s ...
Professors at the University of South Australia and Charles Sturt University have developed an algorithm to detect and intercept man-in-the-middle (MitM) attacks on unmanned military robots. MitM ...
Every time you pick up your smartphone, you’re summoning algorithms. They’re used for everything from unlocking your phone with your face to deciding what videos you see on TikTok to updating your ...
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