Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...