Google cloud chief scientist and stanford professor feifei li once said. Lecture 8 deep learning software video lecture by prof. San francisco, may 11, 2020 prnewswire twitter, inc. Dear commons community, feifei li, professor of computer science at stanford university and chief scientist for a. Li is a codirector of the stanford institute for humancentered artificial intelligence, and a codirector of the stanford vision and learning. The dust has settled from icml 2016, having been held in june in nyc.
Li recognized that while the algorithms that drive artificial intelligence may appear to be neutral, the data and applications that shape the outcomes of. And thats why this years newly anointed andreessen horowitz distinguished visiting professor of computer science is feifei li who publishes under li feifei. Deep learning for product managers part 1 kais notebook. Feifei li, the internationally acclaimed scientist, speaks to cnbc about the vast opportunities as well as the perils of artificial intelligence in our future sign in pro. Deep graph library dgl makes it easy to do deep learning on graphs. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning. Feifei li speaks at the 2017 grace hopper celebration ghc 17 on the importance of algorithms in the fields of artificial intelligence and. How we teach computers to understand pictures fei fei li. See the complete profile on linkedin and discover feifei s. Li is the inventor of imagenet and the imagenet challenge, a critical largescale dataset and benchmarking effort that has contributed to the latest developments in deep learning.
Anomaly detection and diagnosis from system logs through deep learning, talk, by m. Janus is a georeplicated transactional keyvalue store. Prior to that, she was on faculty at princeton university 20072009 and university of illinois urbanachampaign 20052006. Our study on using deep learning techniques to perform sentiment analysis over geotagged tweets for analyzing and predicting this years presidential election is covered by salt lake tribune and deseret news. The area related to these big datasets is known as big data, which stands for the abundance of digital data. Feifei li is the inaugural sequoia professor in the computer science department at stanford university, and codirector of stanfords humancentered ai institute. Imagenet enabled deep learning to go bigits at the root of recent advances in selfdriving cars, facial recognition, phone cameras that can identify objects and tell you if theyre for sale. Ai, machine learning, deep learning, computer vision, computational neuroscience, cognitive neuroscience. Ai luminary feifei li was among a group of distinguished ai researchers asked to talk about how to develop ethical ai programs.
Its commit protocol can achieve serializability and fault. Ai is upending companies, industries, and humanity. If you work with data, you can not avoid machine learning. How did she change her career from physics to computer science, software. Comment apprendre aux ordinateurs a comprendre des. Feifei li assistant attending physicist memorial sloan. In a few years, if you are a software engineer and you dont understand machine learning. Ai luminary feifei li was among a group of distinguished ai researchers asked to share their thoughts on how to develop ethical ai.
How to evaluate, select and implement enterprise grc software. Nonintrusive performance profiling for entire software. Tracing back the deep learning based advances in image and natural language processing, we see a clear chronological similarity to the progression of current ehrdriven deep learning research. She is the inventor, leading scientist and principal investigator of imagenet and the imagenet challengea database with over 14 million images designed for use in visual object recognition software research, thus contributing to many of the latest developments in deep learning and ai. Overview inspired by natural language modeling, the authors present a deep learning approach to anomaly detection in system logs. Xu zhao, kirk rodrigues, yu luo, ding yuan, and michael stumm 2016. In 2018, ai4all has successfully launched five more summer programs in addition to stanford, including princeton. View feifei lis profile on linkedin, the worlds largest professional community.
Feifei li sequoia professor of computer science stanford. Exploration of deep learning in physical layer design. This course is designed to open the doors for students who are interested in learning about the. She is cofounder of stanfords renowned sailors outreach program for high.
Sign up for your own profile on github, the best place to host code, manage projects, and build software alongside 40 million developers. Feifei li to the companys board of directors as a new independent director. Feifei li is a chineseborn american computer scientist, nonprofit executive, and writer. Google research internship largescale unsupervised deep learning for videos 20092011. Ieee international conference on big data ieee bigdata. This lecture collection is a deep dive into details of the deep learning architectures with a focus on.
Li first shared her journey immigrated from chendu china to usa, and pursued her study in physics in princeton. Deep learning pioneer feifei li on the fundamentals of ethical ai. Srikumar in proceedings of 24th acm conference on computer and communications security ccs 2017, pages 12851298, november 2017. Convolutional neural networks for visual recognition course by prof feifei li of stanford. Recent developments in neural network aka deep learning approaches have greatly advanced the.
We also discuss some differences between cpus and gpus. Deep learning pioneer feifei li on the fundamentals of. Li is known for her pioneering research work in computer vision and ai, especially her significant contribution to starting the deep learning. In lecture 8 we discuss the use of different software packages for deep learning, focusing on tensorflow and pytorch. This course is a deep dive into details of the deep learning architectures with a focus on learning. View feifei li s profile on linkedin, the worlds largest professional community.
Li works on ai, machine learning, computer vision, cognitive neuroscience and computational neuroscience. How feifei li will make artificial intelligence better for humanity. A file that records the system states and significant events for debugging software. Feifei li kdnuggets machine learning, data science. She is the sequoia capital professor of computer science at stanford university. Deeplog proceedings of the 2017 acm sigsac conference on. Feifei li has a plan to fix thatby rebooting the field she helped invent. How feifei li will make artificial intelligence better.
Amazon had to ditch ai recruiting software that learned to penalize resumes. Recent developments in neural network aka deep learning approaches have greatly advanced the performance of these stateoftheart visual recognition systems. Distributed trajectory similarity search, project website, talk, poster by d. Anomaly detection and diagnosis from system logs through deep learning. Deep learning is a revolutionary field, but for it to work as intended, it requires data. Feifei li, ranjay krishna, danfei xu lecture 6 2 april 23, 2020 administrative assignment 1 was due yesterday. Li is a cofounder and chairperson of the board of ai4all, a 501c3 nonprofit organization dedicated to increasing diverse human representation in the field of ai and technology. Lecture 8 deep learning software video lecture by prof feifei li. Feifei lis main research areas are in machine learning, deep learning. Imagenet enabled deep learning to go bigits at the root of recent. Every company generates and consumes data, lots of data. Lecture 8 deep learning software tutorial of cs231n. Namely, a majority of studies in this survey are concerned with the idea of representation learning.
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