A study published in Physical Review Letters outlines a new approach for extracting information from binary systems by ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

Since chatbots went mainstream in 2022, a security flaw known as prompt injection has plagued artificial intelligence ...

There are numerous machine learning & AI newsletters, below we feature the best. These enable you to keep up with the latest industry news, important developments, etc. Of course we monitor all of ...

Gradescope relies on a combination of machine learning (ML) and AI to make it easier to grade, which saves time and energy. By outsourcing these tasks, teachers can focus on the more important ones.

The method involves the use of the bilinear submanifold learning (BSML) algorithm and the minimum distance to the bilinear submanifold mean (MDSM) algorithm for EEG signals, sliding window, L1 ...

In the context of artificial intelligence (AI), "noise" refers to irrelevant, random, or erroneous data that can interfere with the learning process of AI models, reducing their accuracy and ...

2019. Non-Autoregressive Machine Translation with Auxiliary Regularization. In Proc. of AAAI 2019. Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin and Xu Sun. 2019. Imitation Learning for ...