A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

IIIT Dharwad offers a two-year online MTech in AI and ML with on-campus sessions, targeting professionals holding ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine data processing and problem-solving.

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

Scouring remote areas for missing walkers and climbers can take rescuers weeks and sometimes months. AI can do the job in a matter of hours in some cases – and potentially save lives.