Kunal Joshi

Discover how researchers from IIMV have developed a maternal mortality dashboard and decision support system that utilises machine learning to provide personalised healthcare interventions based on multiple factors, including healthcare infrastructure, agroclimatic conditions and nutrition. This innovative strategy aims to improve maternal health outcomes and reduce mortality rates across India.

A new study from US researchers supports claims that machine learning could revolutionize the music industry. The researchers used neural activity to identify hit songs with impressive accuracy, suggesting potential applications in other forms of entertainment beyond music. Their approach, called neuroforecasting, captures small groups of neural activity to predict population-level effects, which could eventually be used to send the right entertainment to audiences based on their neurophysiology. Although the study had limitations, the researchers believe their methodology could predict hits for different entertainment genres beyond music.

Discover how machine learning algorithms accurately predict high-risk days for out-of-hospital cardiac arrest in Japan, and how this can improve patient care. A new study published in Scientific Reports explains the processes used to create and test these algorithms, using meteorological and chronological data from a large pool of OHCA patients in Japan to ensure high accuracy in predicting and preparing for such incidents.

Discover the machine learning algorithms that effectively identify radioactive materials using prompt-gamma-ray neutron activation data, reducing false alarms and improving nuclear security.

Discover how machine learning and AI are revolutionizing game development with the help of Unity's Ziva VFX and ZivaRT tools, demonstrated by Unity Solutions Engineer Brian Anderson. The possibilities for real-time graphics are endless!