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

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

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

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

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

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

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

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

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

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

Scouring remote areas for missing walkers and climbers can take rescuers weeks and sometimes months. AI can do the job in a ...