Supporting Open Technology in a New Era of AI
In my over 20 years of working with Intel, I’ve learned something very important: moving an industry forward is not just about the technology itself.…
Blog
Improving DL Performance Using Binary Convolution Support in OpenVINO Toolkit
Convolutional neural networks (CNNs) are a class of deep neural networks often used to analyze visual imagery. The performance of CNNs is heavily constrained by…
NLP Techniques to Intervene in Online Hate Speech
Social media has come a long way since its first site, Six Degrees, was created over 20 years ago. Today, nearly all Americans interact with…
Four Superpowers of Deep Learning
Last week, I had the pleasure of taking part in MIT’s 2019 EmTech conference in Cambridge, Massachusetts. I joined Elizabeth Bramson-Boudreau, CEO of the MIT…
Purpose-Built Inference Acceleration Takes AI Everywhere
Inference is where the transformative power of AI meets real-world applications. It’s how a smart speaker recognizes a plethora of different human voices, and how…
Building What’s Next: Scaling Complex Deep Learning Workloads
The recent advancements in artificial intelligence has been driven by abundant compute, large data sets, and the re-emergence of deep learning (DL) techniques using labeled…
Q8BERT, a Quantized 8bit Version of BERT-Base
Background Pre-trained transformer language models (GPT, XLNet, XLM, BERT) have demonstrated State-of-the-Art (SOTA) results for a variety of Natural Language Processing (NLP) tasks such as…
NLP Architect: Efficient Training and Optimized Inference of Transformer Models
In the past year, we’ve seen major advances in the field of natural language processing (NLP) with the rise of pre-trained language models such as…
Automatic Multi-Device Inference with Intel® Distribution of OpenVINO™ toolkit
Along with the rise of convolutional neural networks, we are starting to see the emergence of dedicated inference accelerators. Many edge and cloud inference workloads…
CVAT: Speeding Up Image Annotation since 2018
We began the Computer Vision Annotation Tool (CVAT) project a few years ago in order to speed up the annotation of digital images and videos…