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Progress in artificial intelligence (AI) refers to the advances, milestones, and breakthroughs that have been achieved in the field of artificial intelligence over time. AI is a multidisciplinary branch of computer science that aims to create machines and systems capable of performing tasks that typically require human intelligence.
Support-Vector Clustering [5] and other kernel methods [6] and unsupervised machine learning methods become widespread. [7] 2010s: Deep learning becomes feasible, which leads to machine learning becoming integral to many widely used software services and applications. Deep learning spurs huge advances in vision and text processing. 2020s
Machine learning resources, hardware or software can be bought and licensed off-the-shelf or as cloud platform services. [75] This enables wide and publicly available uses, spreading AI skills. [76] Over half of businesses consider AI to be a top organizational priority and to be the most crucial technological advancement in many decades. [77]
Machine learning is accelerating efforts to compile an atlas of every single type of cell in the human body and discovering molecules that become new drugs, including a type of antibiotic that may ...
Recent advancements in machine learning have extended into the field of quantum chemistry, where novel algorithms now enable the prediction of solvent effects on chemical reactions, thereby offering new tools for chemists to tailor experimental conditions for optimal outcomes.
Major advances in all areas of AI, with significant demonstrations in machine learning, intelligent tutoring, case-based reasoning, multi-agent planning, scheduling, uncertain reasoning, data mining, natural language understanding and translation, vision, virtual reality, games, and other topics. Early 1990s