Category Archives: AI and Machine Learning

Blake Lemoine says system has perception of, and ability to express thoughts and feelings equivalent to a human child — Read on http://www.theguardian.com/technology/2022/jun/12/google-engineer-ai-bot-sentient-blake-lemoine

http://www.technologyreview.com/2022/06/07/1053031/building-a-better-society-with-better-ai/

Educause’s head of teaching and learning says higher education leaders are right to be cautious about AI, but there are reasons for optimism. — Read on edscoop.com/balancing-optimism-with-caution-in-higher-ed-ai/

Prashant Natarajan, Vice President of Strategy and Products at H2O.ai, introduces IMPACT, a general framework that can guide the adoption of AI in the enterprise. — Read on bdtechtalks.com/2022/06/06/a-framework-for-enterprise-ai-adoption/

[P] This is the worst AI ever. (GPT-4chan model, trained on 3.5 years worth of /pol/ posts) : r/MachineLearning — Read on http://www.reddit.com/r/MachineLearning/comments/v42pej/p_this_is_the_worst_ai_ever_gpt4chan_model/

youtu.be/6dvcYx9hcbE Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents

The AI tutor helps teachers by lightening workloads and providing recordings and reports to understand students’ reading deficiencies. — Read on http://www.eschoolnews.com/2022/06/03/how-an-ai-tutor-almost-doubled-my-schools-literacy-rates-during-the-pandemic/

The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take a solid step towards artificial general intelligence (AGI), we develop a foundation model pre-trained with huge multimodal data,Continue reading “Towards artificial general intelligence via a multimodal foundation model | Nature Communications”

Mozilla Releases Local Machine Translation Tools – Slashdot — Read on m.slashdot.org/story/400634

Cognitive and Human Factors in Expert Decision Making: Six Fallacies and the Eight Sources of Bias | Analytical Chemistry — Read on pubs.acs.org/doi/full/10.1021/acs.analchem.0c00704