Professor Hebrew University of Jerusalem | Google Research
45 YEARS OLD
Amir Globerson (M'07) earned his B.Sc. degree in computer science and physics from the Hebrew University in Jerusalem, Israel, in 1995. He then completed his Ph.D. in neural computation, also at the Hebrew University, in 2007. Following his doctoral studies, he held postdoctoral fellowships at the University of Toronto and at MIT from 2007 to 2009.
Since September 2009, Dr. Globerson has been a faculty member at the Rachel and Selim Benin School of Computer Science and Engineering at the Hebrew University of Jerusalem, where he continues to conduct groundbreaking research in machine learning.
Throughout his career, Dr. Globerson has received numerous accolades for his research, including two best paper awards at the Uncertainty in Artificial Intelligence (UAI) conference in 2007 and 2008, respectively. He also received an outstanding student paper award at the Advances in Neural Information Processing Systems (NIPS) conference in 2004.
In recognition of his research achievements, Dr. Globerson was awarded the Rothschild Yad Hanadiv postdoctoral fellowship in 2008 and the HP Labs innovation research award in 2010. Dr. Globerson's work has been published in numerous high-profile academic journals and conferences, cementing his reputation as a leading figure in machine learning.
Amir Globerson, an AI researcher, has been actively tweeting about various topics lately. In his recent tweets, he has discussed the advancements and applications of machine learning algorithms. He shared a link to an article discussing how deep learning models can be used for image recognition tasks. Additionally, he mentioned the importance of incorporating uncertainty estimation in neural networks.
Another trend that Amir seems to be interested in is natural language processing (NLP). He tweeted about a new paper on contextual word representations and their effectiveness in NLP tasks such as sentiment analysis. This suggests that he is keeping up with the latest developments in NLP and exploring ways to improve language understanding algorithms.
Amir also expressed his excitement about attending a conference on reinforcement learning (RL). He mentioned looking forward to hearing talks from experts in the field and gaining insights into cutting-edge RL techniques. This indicates his interest in RL research and its potential applications.
Overall, based on Amir's recent tweets, it appears that he is actively engaged with current trends in AI research. He discusses topics like deep learning for image recognition, uncertainty estimation in neural networks, contextual word representations for NLP tasks, and reinforcement learning techniques. These trends highlight his focus on advancing machine learning algorithms across various domains.
Regarding sentiment analysis of Amir's tweets, it is important to note that sentiment cannot be accurately determined solely based on these few samples without additional context or information about specific sentiments expressed within the text. Therefore, no conclusive judgment can be made regarding whether Amir's overall sentiment towards AI is positive or negative at this time.
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SOME AI BOOK RECOMMENDATIONS
Amir Globerson hasn't written a book yet or we didn't find any ISBN number for their book(s).
However, here are some popular books in AI: