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Research for Industries (RFI) Lecture Series: Warren Powell
Sequential Decision Analytics: A unified framework Warren Powell is Professor Emeritus at Princeton University and Chief Analytics Officer of Optimal Dynamics.
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Research for Industries (RFI) Lecture Series: Andreas Haeberlen
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Harnessing high-fidelity simulation for autonomous systems through AirSim
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Discovering hidden connections in art with deep, interpretable visual analogies
Image retrieval systems allow individuals to find images that are semantically similar to a query image.
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ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration.
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Microsoft Academic Service: Tools to access knowledge in academic literature
At present, the number of academic publications in the world increases by more than 1 million per month, which is equivalent to a new paper every 2.6 seconds.
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A prototype implementation of 4G packet gateway Microsoft Catapult FPGA platform
Project Arno team has implemented an accelerated packet gateway for 4G cellular networks using Microsoft Catapult FPGA platform.
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Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
Optimization of many deep learning hyperparameters can be formulated as a bilevel optimization problem.
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Ultra-dense data storage and extreme parallelism with electronic-molecular systems
Sustaining growth in storage and computational needs is increasingly challenging.
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Harmonizing the declarative and imperative in database systems
Most relational database engines allow users to express their intent with both declarative SQL and imperative functions/procedures, and practitioners often combine the two in database applications.
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Domain-specific language model pretraining for biomedical natural language processing
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks.
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Platform Biography: A framework for analyzing the structures and dynamics of social media
Social media platforms have become influential in every sphere of communication, from the intimate and mundane to the public, professional, and political.
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Building multimodal, integrative AI systems with Platform for Situated Intelligence
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From player to creator: Designing video games on gaming handhelds with Microsoft TileCode webinar
Today, billions of players around the world have helped propel the video game industry into a multibillion-dollar business.
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Camera-based non-contact health sensing
The SARS-CoV-2 (COVID-19) pandemic is transforming the face of healthcare around the world.
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Foundations of causal inference and its impacts on machine learning webinar
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Avatars: Finding a sense of self and others in the virtual world
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In pursuit of responsible AI: Bringing principles to practice
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Fairness-related harms in AI systems: Examples, assessment, and mitigation
AI has transformed modern life via previously unthinkable feats, from machines that can master the ancient board game Go and self-driving cars to developments we experience more routinely, such as
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Enhancing mobile work and productivity with virtual reality
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Mixed reality and robotics: Unlocking more intuitive human-machine collaboration
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Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
Medical images offer vast opportunities to improve clinical workflows and outcomes.
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AI advances in image captioning: Describing images as well as people do
Image captioning is an interesting problem in the intersection between computer vision and natural language processing, and it has attracted great attention from their respective research communities.
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Reinforcement learning in Minecraft: Challenges and opportunities in multiplayer games
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Microsoft Vision Model ResNet-50: Pretrained vision model built with web-scale data
Pretrained computer vision models, combined with transfer learning, can dramatically bring down the cost and time it takes to build a model that performs a vision task, such as image classification
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A Tale of Two Cities: Software Developers in Practice During the COVID-19 Pandemic
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AI and Gaming Research Summit 2021 - Fireside chat with Peter Lee and Kareem Choudhry
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AI and Gaming Research Summit 2021 - Computational Creativity (Day 1 Track 2.2)
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