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pubmed.ncbi.nlm.nih.gov/25462637

Deep learning in neural networks: an overview

In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and Deep Learners are di…

pubmed.ncbi.nlm.nih.gov/26185243

Machine learning: Trends, perspectives, and prospects - PubMed

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence an…

pubmed.ncbi.nlm.nih.gov/41345316

Persuading voters using human-artificial intelligence dialogues - PubMed

There is great public concern about the potential use of generative artificial intelligence (AI) for political persuasion and the resulting impacts on elections and democracy<sup>1-6</sup>. We inform these concerns using pre-registered experiments to assess the ability of large l…

pubmed.ncbi.nlm.nih.gov/31296650

Superhuman AI for multiplayer poker

In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such benchmarks, including poker, ha…