A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

At the center of this transformation is Anusha Joodala, a seasoned data engineer and EdTech innovator who has spent years ...

In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...

A team of researchers from The University of Texas at Austin (UT), Lawrence Livermore National Laboratory (LLNL), and Scripps ...

AI and ML are changing chromatography. Hear from an expert about the hype, the challenges and the opportunities seen today.

A research team led by Omar Ghattas, professor of mechanical engineering and principal faculty member of the Oden Institute at The University of Texas ...

When we listen to a moving piece of music or feel the gentle pulse of a haptic vibration, our bodies react before we ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

In this second episode of the Quantcast Master’s Series – part of Risk.net ’s Tomorrow’s Quants project – we speak to Laura Ballotta, director of the MS c in Quantitative Finance at Bayes Business ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...