Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive ...

Do Large Language Models (Really) Need Statistical Foundations? Dr. Linglong Kong is a Professor in the Department of ...

IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.