The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

I was a moderator for the TikTok platform for over a year. I won't give away any secrets or inside information, but I will ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. Random Forest (RF) is simpler and more efficient than other ML ...

With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks. However, privacy concerns have to be given priority in DML, since ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, announced the proposed multi-qubit quantum state sharing scheme, which, through an innovative ...