It takes a lot of energy for machines to learn – here’s why AI is so power-hungryThis month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products. Among the risks is the large carbon footprint of developing this kind of AI technology. By some estimate
AI21 Labs Asks: How Much Does It Cost to Train NLP Models? | Synced
Continuum: a platform for cost-aware low-latency continual learning | the morning paper
