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Jul 20, 2018   |   Peter Tang

Toward Higher-Order Training: A Progressive Batching L-BFGS Method

Stochastic Gradient Descent and its variants, referred here collectively as SGD, have been the de facto methods in training neural networks. These methods aim to minimize a network-specific loss function F(x) whose lower values correspond to better-trained versions of the neural network in question. To find a minimal point x*, SGD relies solely on knowing the…

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Jun 08, 2018   |   Intel AI

Intel AI Research at CVPR 2018

The 2018 Conference of Computer Vision and Pattern Recognition (CVPR) takes place June 18th-22nd in Salt Lake City, Utah, USA. CVPR is known as the premier annual computer vision event consisting of poster sessions, co-located workshops, and tutorials. Intel’s presence at CVPR consists of 12 accepted papers/poster sessions, one competition, one Intel AI sponsored Doctoral Consortium, two…

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May 24, 2018   |   Yurong Chen, Daniel Cobb

Analyzing and Understanding Visual Data

Currently, more than 75% of all internet traffic is visual (video/images). Total traffic is exploding, projected to jump from 1.2 zettabytes per year in 2016, to 3.3 zettabytes in 2021, and visual data will comprise roughly 2.6 zettabytes of that. A major challenge for applications is how to process and understand this visual data, a…

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May 23, 2018   |   Yinyin Liu, Harini Eavani, Zach Dwiel

Applying Deep Learning to Genomics Analysis

Synthetic Genomics, Incorporated (SGI) is a synthetic biology company that aims to bring genomic-driven solutions to market. They design and build biological systems and conduct interdisciplinary research by combining biology and engineering to address global sustainability problems SGI asked for Intel’s help to conduct a deep learning proof of concept that would automatically tag a…

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May 23, 2018   |   Yinyin Liu, Moshe Wasserblat

Introducing NLP Architect by Intel AI Lab

Many advances in Natural Language Processing (NLP) and Natural Language Understanding (NLU) in recent years have been driven by advancements in the field of deep learning with more powerful compute resources, greater access to useful data sets, and advances in neural network topologies and training paradigms. At Intel AI Lab, our team of NLP researchers…

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Apr 26, 2018   |   Intel AI

Intel AI Research at ICLR 2018

Intel AI Research will be showcasing six accepted papers/posters, one oral session, and one workshop at the 6th International Conference on Learning Representations in Vancouver, Canada. Papers & Poster Sessions Mon, Apr 30th 4:30pm–6:30pm: Mixed Precision Training of Convolutional Neural Networks using Integer Operations Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal…

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Apr 12, 2018   |   Yinyin Liu

Deep Learning Foundations to Enable Natural Language Processing Solutions

Natural language processing (NLP) is one of the most familiar AI capabilities, having become ubiquitous through consumer digital assistants and chatbots as well as commercial applications like textual analysis of financial or legal records. Intel technology is enabling a variety of NLP applications through the advancement of hardware and software capabilities for deep learning and…

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Apr 02, 2018   |   Bharat Kaul

Neuroscience to Computer Science: An Update from AI Research at Intel

Artificial Intelligence (AI) is poised to have a transformative effect on human civilization. Enabled by decades of research, AI adoption is now accelerating due to the availability of exascale computing, the explosion of big data, and the emergence of algorithms that can take advantage of these compute and data resources. The disruptive transformation may manifest…

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Feb 13, 2018   |   Intel AI

Intel AI Research at SysML

SysML is a new conference targeting research at the intersection of systems and machine learning. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Find these Intel AI Research…

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Dec 04, 2017   |   Jessica Rosenthal

Intel AI Showcased at Neural Information Processing Systems (NIPS)

Today marks the beginning of the thirty-first annual conference on Neural Information Processing Systems (NIPS 2017), an interdisciplinary conference that brings together researchers in all aspects of neural and statistical information processing and computation, and their applications. The Intel AI team will be presenting publications and posters along with numerous workshops throughout the week.  …

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