AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

Abstract: Earth observation has a crucial role in understanding and monitoring our planet's health and changes. Spaceborne synthetic aperture radar (SAR) has become a valuable technology for Earth ...

Yes Madam’s cofounder and CMO, Akanksha Vishnoi, shared how the platform posted a 233% revenue jump within two years ...

Background The annual births in our hospital (a regional perinatal centre for the southeastern coastal region) had increased ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: Accurate and efficient modeling of lateral double-diffused MOS (LDMOS) devices is critical for process optimization and reliability analysis, especially under limited simulation budgets.