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→博士生
==博士生==
==博士生==
*[https://www.linkedin.com/in/max-quinn-589804172/ Max Quinn]
*[https://www.linkedin.com/in/max-quinn-589804172/ Max Quinn]2018年在Portland State University拿到博士学位，主要研究领域是机器学习。
*[https://www.linkedin.com/pub/sheng-lundquist/84/439/409 Sheng Lundquist]
*[https://www.linkedin.com/pub/sheng-lundquist/84/439/409 Sheng Lundquist]于2015年在Portland State University拿到博士学位，主要研究领域包括机器学习和稀疏编码(sparse coding)。2019年起在cPacket Networks任实习机器学习工程师，研究兴趣包括社会网络分析。
*[https://www.linkedin.com/in/econser/ Erik Conser]
*[https://www.linkedin.com/in/econser/ Erik Conser] Erik Conser是Portland State University的助理研究员和计算机科学专业的候选PhD研究生。他对'''视觉接地 Visual Grounding''' ，'''图像理解 Image Comprehension''' ，'''目标检测和定位 Object Detection and Localization''' ，'''卷积神经网络 Convolutional Neural Networks''' ，'''概率图模型 Probabilistic Graphical Models''' 和'''计算机视觉 Computer Vision''' 很感兴趣。其目前的研究方向是视觉基础、图像理解、目标检测与定位、卷积神经网络、概率图形模型和计算机视觉。他也是一名经验丰富的研究科学家，有十年的软件工程师工作经验，在空军卫星控制网络担任国防部文职人员，在金融行业提供抵押贷款服务。
==观点==
==观点==
While expressing strong support for AI research, Mitchell has expressed concern about AI's vulnerability to hacking as well as its ability to inherit social biases. On [[artificial general intelligence]], Mitchell states that "commonsense knowledge" and "humanlike abilities for abstraction and analogy making" might constitute the final step required to build [[superintelligent]] machines, but that current technology is not close to being able to solve this problem.<ref>{{cite news |title=Fears about robot overlords are (perhaps) premature |url=https://www.csmonitor.com/Books/Book-Reviews/2019/1025/Fears-about-robot-overlords-are-perhaps-premature |accessdate=10 May 2020 |work=Christian Science Monitor |date=25 October 2019}}</ref> Mitchell believes that humanlike visual intelligence would require "general knowledge, abstraction, and language", and hypothesizes that visual understanding may have to be learned as an embodied agent rather than merely viewing pictures.<ref>{{cite news |title=What Is Computer Vision? |url=https://www.pcmag.com/news/what-is-computer-vision |accessdate=10 May 2020 |work=PCMAG |date=9 February 2020 |language=en}}</ref>
While expressing strong support for AI research, Mitchell has expressed concern about AI's vulnerability to hacking as well as its ability to inherit social biases. On [[artificial general intelligence]], Mitchell states that "commonsense knowledge" and "humanlike abilities for abstraction and analogy making" might constitute the final step required to build [[superintelligent]] machines, but that current technology is not close to being able to solve this problem.<ref>{{cite news |title=Fears about robot overlords are (perhaps) premature |url=https://www.csmonitor.com/Books/Book-Reviews/2019/1025/Fears-about-robot-overlords-are-perhaps-premature |accessdate=10 May 2020 |work=Christian Science Monitor |date=25 October 2019}}</ref> Mitchell believes that humanlike visual intelligence would require "general knowledge, abstraction, and language", and hypothesizes that visual understanding may have to be learned as an embodied agent rather than merely viewing pictures.<ref>{{cite news |title=What Is Computer Vision? |url=https://www.pcmag.com/news/what-is-computer-vision |accessdate=10 May 2020 |work=PCMAG |date=9 February 2020 |language=en}}</ref>