Natural Language Processing, especially when combined with machine learning and crowdsourcing, has boosted online learning and enabled teachers to multiply the size of their classrooms while simultaneously addressing individual students Natural Language Processing, especially when combined with machine learning and crowdsourcing, has boosted online learning and enabled teachers to multiply the size of their classrooms while simultaneously addressing individual students
With the explosion of information available to us, recommender systems that automatically prioritize what we see when we are online have become absolutely essential. Such systems have always drawn heavily on AI, and now they have a dramatic influence on people With the explosion of information available to us, recommender systems that automatically prioritize what we see when we are online have become absolutely essential. Such systems have always drawn heavily on AI, and now they have a dramatic influence on people
Language processing technology made a major leap in the last five years, leading to the development of network architectures with enhanced capability to learn from complex and context-sensitive data. These advances have been supported by ever-increasing data resources and computing power. Language processing technology made a major leap in the last five years, leading to the development of network architectures with enhanced capability to learn from complex and context-sensitive data. These advances have been supported by ever-increasing data resources and computing power. advertisement
In the last five years, the field of AI has made major progress in almost all its standard sub-areas, including vision, speech recognition and generation, natural language processing (understanding and generation), image and video generation, multi-agent systems, planning, decision-making, and integration of vision and motor control for robotics. In addition, breakthrough applications emerged in a variety of domains including games, medical diagnosis, logistics systems, autonomous driving, language translation, and interactive personal assistance. In the last five years, the field of AI has made major progress in almost all its standard sub-areas, including vision, speech recognition and generation, natural language processing (understanding and generation), image and video generation, multi-agent systems, planning, decision-making, and integration of vision and motor control for robotics. In addition, breakthrough applications emerged in a variety of domains including games, medical diagnosis, logistics systems, autonomous driving, language translation, and interactive personal assistance. advertisement
interactive chat technologies have great potential interactive chat technologies have great potential advertisement
What are the most promising opportunities for AI? What are the most promising opportunities for AI? advertisement
What are the most important advances in AI in recent years? What are the most important advances in AI in recent years? advertisement