Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
In an article published on Business Reporter, Kristen Warner, VP Marketing at Apryse Software talks about how tools with high ...
Opinion
Managing the impact of AI on both human health and planetary health requires new forms of governance
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 layered approach reflects common best practices in embedded AI, where deterministic safeguards complement probabilistic ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
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