Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

The program covers business analytics, AI, machine learning, and management, featuring over 40 electives and six campus immersions led by IIM faculty and industry experts.

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ...

What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...

The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...

At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...