This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

Understanding HAR Gilbreth’s early work laid the foundation for what we now call human activity recognition (HAR). HAR recognizes and observes agents' actions based on environmental conditions.

Despite the progress we’ve made in deep learning, the approach remains out of reach for many, largely due to the high costs associated with tuning models for specific AI tasks. Now Google hopes to ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Recognizing human activities accurately is crucial in smart environments, supporting applications in healthcare, security, and automation. Traditional machine learning struggles with the complexity ...

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks.

Even smartest AI models don't match human visual processing How deep-network models take potentially dangerous 'shortcuts' in solving complex recognition tasks Date: September 16, 2022 Source ...

Will deep learning eventually become “artificial general intelligence” (AGI), matching human intelligence in every way? I don’t believe it will happen in the next 20 years.