A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...