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Congressional staff play a key role in shaping and developing policy on critical technology areas such as artificial intelligence (AI).
Congressional staff play a key role in shaping and developing policy on critical technology areas such as artificial intelligence (AI).
The First Meeting of the IEEE Planet Positive 2030 Community: Advancing Technology for a Sustainable Planet
The First Meeting of the IEEE Planet Positive 2030 Community: Advancing Technology for a Sustainable Planet
Researcher Perceptions of Current and Future AI
Researcher Perceptions of Current and Future AI
When it comes to Web 3.0, how far behind are the US, EU and western multinationals? And is it too late for them to catch up?
When it comes to Web 3.0, how far behind are the US, EU and western multinationals? And is it too late for them to catch up?
Navigating the changing nature of work, including its effects on productivity, employment, and inequality, is one of the greatest challenges we face between now and 2050.
Navigating the changing nature of work, including its effects on productivity, employment, and inequality, is one of the greatest challenges we face between now and 2050.
The HAI Spring Conference will explore three key advances in artificial intelligence – accountable AI, foundation models, and embodied AI in virtual and real worlds – as well as what the future of this technology might hold.
The HAI Spring Conference will explore three key advances in artificial intelligence – accountable AI, foundation models, and embodied AI in virtual and real worlds – as well as what the future of this technology might hold.
Job postings provide unique insights into the demand for skills, tasks, and occupations. In a recent project, Digital Fellow Daniel Rock (Wharton School of the University of Pennsylvania) and fellow Lab researchers Erik Brynjolfsson, Sarah Bana, and Sebastian Steffen used the text from millions of online job postings to train a natural language processing (NLP) model.
Job postings provide unique insights into the demand for skills, tasks, and occupations. In a recent project, Digital Fellow Daniel Rock (Wharton School of the University of Pennsylvania) and fellow Lab researchers Erik Brynjolfsson, Sarah Bana, and Sebastian Steffen used the text from millions of online job postings to train a natural language processing (NLP) model.