人工智能杂志AI(Artificial Intelligence)是目前公认的发表该领域最新研究成果的主要国际论坛。该期刊欢迎有关AI广泛方面的论文,这些论文构成了整个领域的进步,也欢迎介绍人工智能应用的论文,但重点应该放在新的和新颖的人工智能方法如何提高应用领域的性能,而不是介绍传统人工智能方法的另一个应用。关于应用的论文应该描述一个原则性的解决方案,强调其新颖性,并对正在开发的人工智能技术进行深入的评估。 官网地址:http://dblp.uni-trier.de/db/journals/ai/

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报告题目:

Perception, Prediction, and Large Scale Data Collection for Autonomous Cars

报告简介:

预计自动驾驶汽车将极大地重新定义交通运输的未来。当这项技术完全实现时,它将带来巨大的社会、环境和经济效益。我们很高兴能分享一个全面的、大规模的数据集,其中包括原始传感器摄像头和激光雷达输入,这是一个由多辆高端自主车辆组成的车队在有限的地理区域内所感知到的。该数据集还包括高质量的、带有人类标签的交通代理的3D边界框,一个底层的HD空间语义图。因此,我们的目标是赋予社区权力,促进进一步发展,并从先进的工业自主车辆计划的角度分享我们对未来机遇的见解。

嘉宾介绍:

Luc Vincent,Peter Ondruska, Ashesh Jain,Sammy Omari,Vinay Shet。

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Video Games are boring when they are too easy, and frustrating when they are too hard. In terms of providing game experience such as enjoyment to the player by match players with different levels of ability to player ability, We assume that implementing DDA for providing matches between player ability and overall game difficulty to the game, especially the modern game, has limitations in terms of increasing computational cost and complexities in the design of modeling the difficulty in modern games. To overcome limitations underlying the method of providing static difficulty changes to player, and DDA, we proposed a novel idea, Player Domination adjustment (PDA). The proposed idea is that to control the AI's actions based on the player's inputs so as to adjust the player's dominant power (e.g. the AI recognizes the player's attack actions but defends it in a wrong side to let the player incur damage to itself), which was proved as it leads to promotion of game-related self-efficacy in our work. Several pieces of research on were conducted on a social deduction game and a fighting game respectively, show our proposed idea has its potential of promoting User Experience(UX). As in an another study, outperforms DDA in two conducted experiments in terms of health promotion.

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