Artificial Intelligence

Sentiment Analysis Techniques in NLP: From Lexicon to Machine Learning Part 5 by Ayşe Kübra Kuyucu DataDrivenInvestor Similarly identifying and categorizing various types of offensive language is becoming increasingly important. For identifying sentiments and offensive language different pretrained models like logistic regression, CNN, Bi-LSTM, BERT, RoBERTa and Adapter-BERT are used. Among the obtained results Adapter […]

A Raspberry Pi Video Intercom System So with just a bit of soldering, you can have your own personal video comm system to aid in your social distancing efforts. You could even rig it up to your backpack and chronicle your day-to-day life. Maybe that’ll be more interesting when we’re not all staying safe inside.

Symbolica hopes to head off the AI arms race by betting on symbolic models Second, a related and indeed interesting twist is that the inductive reasoning performance appeared to differ somewhat based on which of the generative AI apps was being used. The gist is that depending upon how the generative AI was devised by

Leveraging on NLP to gain insights in Social Media, News & Broadcasting by George Regkas The code for Pytorch is significantly longer than the code required for Keras. If you prefer to write code quickly and not spell out every training step, then Keras is a better option for you. However, if you want to

Rolemantic AI: AI Companions Redefining Emotional Support in the Digital Age Random Forest’s robustness and interpretability ensure its continued relevance across diverse sectors. NLP is a key technology for automating text analysis, and its integration into medical imaging can help build large datasets for training artificial intelligence (AI) systems. These AI models can be essential

Andreessen Horowitz Founders Notice A I. Models Are Hitting a Ceiling First, you might have noticed that generative AI goes along with my remark that I am having trouble sleeping. A fellow human might right away doubt you or otherwise not take seriously your expressed concern. In a sense, you could say I am being

Deep Transfer Learning for Natural Language Processing Text Classification with Universal Embeddings by Dipanjan DJ Sarkar BERT builds upon recent work in pre-training contextual representations — including Semi-supervised Sequence Learning, Generative Pre-Training, ELMo, and ULMFit. However, unlike these previous models, BERT is the first deeply bidirectional, unsupervised language representation, pre-trained using only a plain text

7 cool NSF-funded robots that are advancing science and helping society NSF National Science Foundation No, bots are programmed to ignore commands issued by other bots in the server. Server members should count as high as possible until one of the members accidentally sends the incorrect number and ruins the progress. This game is more