Berkeley AI retweet: World model research uses point trajectories to achieve long-term prediction of animal movement

ME News Report, April 3 (UTC+8), recent research in the field of world models has made rapid progress. According to a retweet from Berkeley AI, a paper led by PhD student Neerja Thakkar under Jitendra Malik used point trajectories as a representation method to achieve long-term prediction of animal movement. The work originated from their GDM internship project. The original article did not provide the paper title, publication venue, specific methodological details, experimental results, or any quantitative metrics. (Source: InFoQ)