Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
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Keynote: AI, People, and Society
Advances in AI promise great benefit to people and organizations. However, as we push the science of AI forward, we need to consider potential downsides, unintended consequences and costly outcomes. Challenges include ethical and legal…
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Keynote: Model-Based Machine Learning
Today, thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains, and over the last five decades, researchers have created literally thousands of machine learning algorithms. Traditionally an engineer…
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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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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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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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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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Social and Emotional Intelligence in AI and Agents
Social signals and emotions are fundamental to human interactions and influence memory, decision-making and wellbeing. As AI systems, in particular, intelligent agents, become more advanced, there is increasing interest in applications that can fulfil tasks…
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Challenges and Opportunities in Human-Machine Partnership
The new wave of excitement about AI in recent years has been based on successes in perception tasks or on domains with limited and known dynamics. Because machines have achieved human parity in accuracy for…
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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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Keynote: The Interplay of Agent and Market Design
Humans make hundreds of routine decisions daily. More often than not, the impact of our decisions depends on the decisions of others. As AI progresses, we are offloading more and more of these decisions to…
