Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

If your AI treats these identifiers as isolated columns in a table, the machine is essentially just memorizing a list. This ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

Demis Hassabis, co-founder and CEO of Google DeepMind, has identified three specific areas where even the most advanced AI systems still fall short of human cognition. His remarks, delivered as a ...

Zak-OTFS Waveform Required to Address the Unique Challenges of Delay Spread and Doppler Impairments in Space to Make ...

Scientists report that they have developed a new machine-learning system designed to overcome challenges encountered in ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...