Fine-grained visual classification, in contrast to generic object classification, tries to correctly classify things from the same basic category (birds, vehicles, etc.) into subcategories....
Since the inception of modern machine learning, the goal has been to make workloads that use the technology as efficient as feasible. Considering the...
Epigraphy is the study of ancient texts—inscriptions—written by individuals, organizations, and institutions in the ancient world on durable materials (stone, pottery, metal). Thousands of...
Parkinson's disease (PD) is a neurological condition that causes tremors, stiffness, and difficulty walking, balancing, and coordinating. Dopamine levels diminish due to nerve cell...
In recent years, there has been significant progress in lexical tasks like automatic speech recognition (ASR). Yet machine systems struggle to understand non-linguistic features...
If data is the fuel for Artificial Intelligence (AI), the computation is the engine. The ever-increasing computational requirements of modern AI systems have prompted...
Scientists conduct trial and error procedures which experimenting, that many times lear to freat scientific breakthroughs. Similarly, foundational research provides for developing large-scale AI...
Bringing model training to the device extends beyond the usage of local models that make predictions on mobile devices. Federated Learning (FL) allows mobile...
The training costs for advanced ML models range from tens of thousands to millions of dollars, even for well-understood architectures. The training of one...
Understanding the relationships between entity sets maintained in a database is critical. In this context, an entity is an object or a data component.
Entity...
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