The most important is early detection of students at risk, which enables universities to intervene before problems escalate.
Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Oracle's AI infrastructure leadership is validated by multi-billion-dollar contracts. Click here to read more about ORCL ...
A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...
The tool from tech firm Amperon provides a more granular look at the weather and its impact on power markets.
Space.com on MSNOpinion
AI is transforming weather forecasting − and that could be a game changer for farmers around the world
Research is also rapidly advancing to expand the use of AI for forecasts weeks to months ahead, which helps farmers in making ...
When we try to predict the weather, we use ensembles of the initial conditions on the ground, in the oceans, and throughout ...
In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback