Category Archives: AI and Machine Learning

Explainable Artificial Intelligence in education – ScienceDirect — Read on http://www.sciencedirect.com/science/article/pii/S2666920X22000297

Assessment in the age of artificial intelligence – ScienceDirect — Read on http://www.sciencedirect.com/science/article/pii/S2666920X22000303

philsci-archive.pitt.edu/20617/1/Sifting_the_Signal_from_the_Noise_post.pdf

The most underrated talent in AI? – Marginal REVOLUTION — Read on marginalrevolution.com/marginalrevolution/2022/05/the-most-underrated-talent-in-ai.html

ai.googleblog.com/2022/05/language-models-perform-reasoning-via.html

Ubiquitous computing has triggered an avalanche of data that is beyond human processing capabilities. AI technologies have emerged as the only viable way to turn this data into information. As more computing produces more data, more computing power is needed to power AI. Next generation AI will soon look to planetary-scale computing systems to further…Continue reading “Powering the next generation of AI | MIT Technology Review”

Google has announced a new feature for their Docs app that will automatically generate a summary of the document content. The summarization is powered by a natural language processing (NLP) AI model b — Read on http://www.infoq.com/news/2022/04/google-docs-ai-summaries/

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks. — Read on thenextweb.com/news/whats-the-transformer-machine-learning-model

MIT researchers developed a machine-learning technique that learns to represent data in a way that captures concepts shared between visual and audio modalities. Their model can identify where certain action is taking place in a video and label it. — Read on news.mit.edu/2022/ai-video-audio-text-connections-0504

In an uncharacteristic move, Facebook’s parent company is inviting researchers to pick apart the flaws in a language model like GPT-3 — Read on http://www.technologyreview.com/2022/05/03/1051691/meta-ai-large-language-model-gpt3-ethics-huggingface-transparency/