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AI and You: Altman Says Humanity Needs to Solve for AI Safety, EU Agrees on 'Historic' AI Law - Vimarsana News

AI and You: Altman Says Humanity Needs to Solve for AI Safety, EU Agrees on 'Historic' AI Law

Get up to speed on the rapidly evolving world of AI with our roundup of the week's developments.

Source: cnet.com
Microsoft's Seeing AI App is Now Available on Android - Vimarsana News

Microsoft's Seeing AI App is Now Available on Android

Microsoft is expanding its Seeing AI app to Android, the company said Monday. It's now available on the Google Play Store and works across 18...

"Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in" by Saugata Bose, Guoxin Su et al. - Vimarsana News

"Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in" by Saugata Bose, Guoxin Su et al.

The abundance of user-generated online content has presented significant challenges in handling big data. One challenge involves analyzing short posts on social media, ranging from sentiment identification to abusive content detection. Despite recent advancements in pre-trained language models and transfer learning for textual data analysis, the classification performance is hindered by imbalanced data, where anomalous data represents only a small portion of the dataset. To address this, we propose Deep One-Class Fine-Tuning (DOCFT), a versatile method for fine-tuning transfer learning-based t...

Source: uow.edu.au
Microsoft's Seeing AI App is Now Available on Android - Vimarsana News

Microsoft's Seeing AI App is Now Available on Android

The app helps people who are blind or low vision scan documents and currency and can describe their surroundings.

Source: cnet.com
"LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Clas" by Saugata Bose and Guoxin Su - Vimarsana News

"LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Clas" by Saugata Bose and Guoxin Su

Introducing LexiFuse+: a semi-supervised model merging lexicon features, BERT transfer learning, and one-class classifiers to detect anomalous content in short texts. It tackles challenges of informal text and imbalanced datasets, excelling in hate speech detection. By leveraging one-class classifiers in a fully deep fine-tuned network trained with unlabeled data, LexiFuse+ surpasses base models.

Source: uow.edu.au