Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Video Abstract: Transforming Machine Learning and Optimization through Quantum Computing
In 1982, Richard Feynman first proposed using a “quantum computer” to simulate physical systems with exponential speed over conventional computers. Quantum algorithms can solve problems in number theory, chemistry, and materials science that would otherwise…
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Video Abstract: AI and Security
In the future, every company will be using AI, which means that every company will need a secure infrastructure that addresses AI security concerns. At the same time, the domain of computer security has been…
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Video Abstract: Microsoft Cognitive Toolkit (CNTK) for Deep Learning
Microsoft Cognitive Toolkit (CNTK) is a production-grade, open-source, deep-learning library. In the spirit of democratizing AI tools, CNTK embraces fully open development, is available on GitHub, and provides support for both Windows and Linux. The…
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Video Abstract: AI For Earth
Human society is faced with an unprecedented challenge to mitigate and adapt to changing climates, ensure resilient water supplies, sustainably feed a population of 10 billion, and stem a catastrophic loss of biodiversity. Time is…
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Video Abstract: Private AI
As the volume of data goes up, the quality of machine learning models, predictions, and services will improve. Once models are trained, predictive cloud services can be built on them, but users who want to…
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Video Abstract: Provable Algorithms for ML/AI problems
Machine learning (ML) has demonstrated success in various domains such as web search, ads, computer vision, natural language processing (NLP), and more. These success stories have led to a big focus on democratizing ML and…
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Video Abstract: Learnings from Human Perception
Scientists have long explored the different sensory inputs to better understand how humans perceive the world and control their bodies. Many of the great discoveries about the human perceptual system were first found through laboratory…
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Video Abstract: From Visual Sensing to Visual Intelligence
Computer vision is arguably one of the most challenging subfields of AI. To better address the key challenges, the vision research community has long been branched off from the general AI community and focused on its…
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Video Abstract: Conversational Systems in the Era of Deep Learning and Big Data
Recent research in recurrent neural models, combined with the availability of massive amounts of dialog data, have together spurred the development of a new generation of conversational systems. Where past approaches focused on task-oriented dialog…
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Video Abstract: AI for Accessibility: Augmenting Sensory Capabilities with Intelligent Technology
Advances in AI technologies have important ramifications for the development of accessible technologies. These technologies can augment the capabilities of people with sensory disabilities, enabling new and empowering experiences. In this session, we will present…
