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Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue
In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner's current state. However, most existing work in algorithmic machine teachingfocuses on the batch setting, where adaptivity plays no role. In this paper, we study the case of teaching consistent, version space learners in an interactive setting. At any time step, the teacher provides an example, the learner performs an update, and the teacher observes the learner'snew state.
Robot Dogs Are on Going on Patrol at the 2026 World Cup in Mexico
The Mexican city of Guadalupe, which will host portions of the 2026 World Cup, recently showed off four new robot dogs that will help provide security during matches at BBVA Stadium. The K9-X "robodogs" will help officers patrol during the 2026 World Cup this summer. Authorities in Mexico's Guadalupe, Nuevo León, this week unveiled four robot dogs that will be part of the security devices at BBVA Stadium, one of the three Mexican venues of the 2026 World Cup . The robot dogs are not armed, but each unit incorporates video cameras, night vision, and communication systems that are used to issue warnings or instructions. Its function is to deter illegal activity, detect unusual behavior, identify suspicious objects, control crowds, and immediately alert law enforcement when the system deems necessary. Robot dogs operate semi-autonomously: They do not make decisions or execute movements on their own.