Numerous applications today rely on artificial intelligence over images. Image AI is,
however, extremely expensive. In particular, the inference cost of image AI dominates the …

Deep learning training is an expensive process that extensively uses GPUs. However, not
all model training saturates modern powerful GPUs. To create guidelines for such cases, this …

Current transferability estimation methods designed for natural image datasets are often
suboptimal in medical image classification. These methods primarily focus on estimating the …

Training deep learning models is a repetitive and resource-intensive process. Data
scientists often train several models before landing on set of parameters (eg, hyper …

Data Science is a field that has seen rapid development as of late due to the introduction of
more powerful and specialised hardware. Massive algorithms such as Deep Neural …