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Decoding Music Attention from “EEG headphones”: a User-friendly Auditory Brain-computer Interface
Listening to music is a joyful way to relax. Many people enjoy playing music in the background in their daily life, even while working.
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Forest Sound Scene Simulation and Bird Localization with Distributed Microphone Arrays
Audio-based wildlife monitoring is an important method for studying animal habitations and for the conservation of animal species and ecosystems.
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Novel Image Captioning
When does a machine “understand” an image? One definition is when it can generate a novel caption that summarizes the salient content within an image.
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Sirius: A Flat Datacenter Network with Nanosecond Optical Switching (SIGCOMM 2020 short talk)
The increasing gap between the growth of datacenter traffic and electrical switch capacity is expected to worsen due to the slowdown of Moore’s law, motivating the need for a new switching
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Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 short talk)
The difficulty of building large data centers in dense metro areas is pushing big cloud providers towards a different approach to scaling: multiple smaller data centers within tens of kilometers of
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Optics for the cloud – Light at the end of the tunnel? (SIGCOMM 2020 Workshop)
The amazing growth of the cloud has also led to the emergence of inflection points that may hinder future cloud scaling.
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Beyond the mega-data center: networking multi-data center regions (SIGCOMM 2020 Talk)
The difficulty of building large data centers in dense metro areas is pushing big cloud providers towards a different approach to scaling: multiple smaller data centers within tens of kilometers of
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Making cryptography accessible, efficient, and scalable with Dr. Divya Gupta and Dr. Rahul Sharma
Episode 005 | September 08, 2020 Ensuring security and privacy of data, both personal and institutional, is of paramount importance in today’s world where data itself is a highly precious commodity.
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Planeverb: Interactive sound propagation for dynamic scenes using 2D wave simulation
We present a technique to model wave-based sound propagation to complement visual animation in fully dynamic scenes.
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15 days 1:15:14
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 1/2)
Since the naming of the field in 1956, AI has been dominated first by symbolic rule-based models, then early-generation neural (or “connectionist”) models, then probabilistic models operating over
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What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
Since the naming of the field in 1956, AI has been dominated first by symbolic rule-based models, then early-generation neural (or “connectionist”) models, then probabilistic models operating over
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Exporting Animations with Microsoft Expressive Pixels (8 of 9)
Learn how to export your images and animations and save them for use in other applications. More at aka.ms/expressivepixels
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Using Layers in Microsoft Expressive Pixels (7 of 9)
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Creating Fragments in Microsoft Expressive Pixels (6 of 9)
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Managing Animation Galleries in Microsoft Expressive Pixels (5 of 9)
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Creating Animations in Microsoft Expressive Pixels (4 of 9)
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Creating an Image in Microsoft Expressive Pixels (3 of 9)
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Getting Started with Microsoft Expressive Pixels (2 of 9)
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Welcome to Microsoft Expressive Pixels (1 of 9)
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Importing Animations in Microsoft Expressive Pixels (9 of 9)
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Galactic Bell Star Music Demo
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Directional Sources & Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
We present the first wave-based interactive system for practical rendering of global sound propagation effects including diffraction, in complex game and VR scenes with moving directional sources
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Platform for Situated Intelligence Overview
Dan Bohus, Senior Principal Research, provides an overview of Platform for Situated Intelligence: an open-source framework that significantly accelerates development and research on multimodal
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Programming with Proofs for High-assurance Software
Programming critical systems with proofs, a long-standing goal of computer science, is beginning to come within reach of modern programming languages and proof assistants.
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36 days 1:08:34
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Deep neural networks have been trained to interpret images and text at increasingly high levels of accuracy.
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38 days 1:21:04
SkinnerDB: Regret Bounded Query Evaluation using RL
Query plans are typically selected based on coarse-grained data statistics and simplifying cost and cardinality models.
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From Paper to Product
I used to think that creating a product from a research paper was a linear process.
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Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal
Episode 004 | August 04, 2020 The process of software development is dramatically different today compared to even a few years ago.
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MineRL Competition 2020
Starting July 1st 2020, we are holding a competition on sample-efficient reinforcement learning using human priors as a part of NeurIPS 2020 competition track.
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46 days 44:51
Directions in ML: Algorithmic foundations of neural architecture search
Neural architecture search (NAS)—the problem of selecting which neural model to use for your learning problem—is a promising direction for automating and democratizing machine learning.
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