MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Abstract: Metric learning aims to learn a discriminative metric space, where samples of the same class stay close, and those of different classes far apart. Existing classical metric learning methods ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results