Search Constraints
Number of results to display per page
Results for:
1 - 8 of 8
Search Results
-
Video
At TEDIndia, Pranav Mistry demos several tools that help the physical world interact with the world of data -- including a deep look at his SixthSense device and a new, paradigm-shifting paper "laptop." In an onstage Q&A, Mistry says he'll open-source the software behind SixthSense, to open its possibilities to all.
- Subjects:
- Electronic and Information Engineering and Computing, Data Science and Artificial Intelligence
- Keywords:
- Augmented reality Human-computer interaction
- Resource Type:
- Video
-
Video
Months after he was born, in 1948, Ron McCallum became blind. In this charming, moving talk, he shows how he reads -- and celebrates the progression of clever tools and adaptive computer technologies that make it possible. With their help, and the help of volunteers, he's become a lawyer, an academic, and, most of all, a voracious reader. Welcome to the blind reading revolution.
- Subjects:
- Computing, Data Science and Artificial Intelligence, Technology, and Electronic and Information Engineering
- Keywords:
- Blind -- Books reading Assistive computer technology Reading -- Aids devices
- Resource Type:
- Video
-
Video
As quantum computing matures, it's going to bring unimaginable increases in computational power along with it -- and the systems we use to protect our data (and our democratic processes) will become even more vulnerable. But there's still time to plan against the impending data apocalypse, says encryption expert Vikram Sharma. Learn more about how he's fighting quantum with quantum: designing security devices and programs that use the power of quantum physics to defend against the most sophisticated attacks.
- Subjects:
- Computing, Data Science and Artificial Intelligence, Physics, and Electronic and Information Engineering
- Keywords:
- Quantum computing Data encryption (Computer science)
- Resource Type:
- Video
-
Others
The IEEE Xplore digital library is a powerful resource for discovery of scientific and technical content published by the IEEE (Institute of Electrical and Electronics Engineers) and its publishing partners.IEEE Xplore provides web access to more than five million full-text documents from some of the world's most highly-cited publications in electrical engineering, computer science, and electronics.
- Subjects:
- Computing, Data Science and Artificial Intelligence, Electrical Engineering, and Electronic and Information Engineering
- Keywords:
- Electrical engineering Computer science
- Resource Type:
- Others
-
Courseware
Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. A computer and an Internet connection are all you need. The SEE course portfolio includes one of Stanford's most popular sequences: the three-course Introduction to Computer Science, taken by the majority of Stanford’s undergraduates, as well as more advanced courses in artificial intelligence and electrical engineering.
- Course related:
- EE1D01 Electrical Science for Everyone
- Subjects:
- Biomedical Engineering, Electronic and Information Engineering, Mechanical Engineering, and Computing, Data Science and Artificial Intelligence
- Keywords:
- Engineering Computer science
- Resource Type:
- Courseware
-
Video
We are on a mission to provide free and subsidized education. We believe that the real world exists beyond the walls of costly institutions. We are here to help you in all the possible ways. A small step to educate the world. Join us and be a part of our creative community. "Every individual is different and talented, what you need are passion and curiosity."
- Course related:
- EE3001A Analogue and Digital Circuits, EE2003A Electronics, EE3008A Linear Systems and Signal Processing, and EE4004A Power Systems
- Subjects:
- Computing, Data Science and Artificial Intelligence, Electrical Engineering, and Electronic and Information Engineering
- Keywords:
- Engineering Engineering -- Data processing Computer science
- Resource Type:
- Video
-
e-book
Pattern recognition, despite its relatively short history, has already found practical application in many areas of human activity. Systems of pattern recognition usually support people in performing tasks related to ensuring security, including access to premises and devices, detection of unusual changes (e.g. in medicine, cartography, geology), diagnosing technical conditions of devices, and many others. Nevertheless, pattern recognition is probably the most developing area because of the great demand for such solutions in the different areas of our lives. In this book we have collected the experience of scientists from different parts of the world who have researched diverse areas connected directly or indirectly with pattern recognition. We hope that this book will be a treasure trove of knowledge and inspiration for further research in the field of pattern recognition.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Electronic and Information Engineering
- Keywords:
- Pattern perception Image processing Pattern recognition systems
- Resource Type:
- e-book
-
e-book
Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Electronic and Information Engineering
- Keywords:
- Human face recognition (Computer science)
- Resource Type:
- e-book