Blog

Apr 30, 2018   |   Ashwin Vijayakumar

Practical Applications of Deep Learning: Build a DIY Smart Security Camera Using the Intel® Movidius™ Neural Compute Stick

Have you ever wanted to deploy your deep neural network (DNN) models onto a weekend project that is not only fun but also creates a useful gadget to have around the house? Maybe Fido figured out the motion triggered camera system and fills up your disk space with videos of him jumping around the room.…

Read more

#Technology

Apr 30, 2018   |   Intel AI

Intel AI at The AI Conference in New York 2018

From car to cloud to edge to data center, Intel is powering AI today in organizations around the world.  Intel will demonstrate how it’s enabling organizations to take AI into their own hands at the Artificial Intelligence Conference in New York City. Intel will offer keynotes, a tutorial, sessions and several experiences and demos in…

Read more

#Events

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…

Read more

#Events #Research

Apr 26, 2018   |   Milena Marinova

AI Gets Personal

For centuries, people have expressed individuality and character by their choices of clothing, furniture, and accessories as well as preferences in items such as books, songs, and movies. The advances of the Internet and mobile platforms have made new discoveries and creations easily shared and curated. Given the substantial value of such personalization of products…

Read more

#Solutions #Technology

Apr 26, 2018   |   Mattson Thieme, Ravi Panchumarthy, Prashant Shah

Amazon Web Services Works with Intel to Enable Optimized Deep Learning Frameworks on Amazon* EC2 CPU Instances

With a wide array of compute, memory, and communication configurations, Amazon Web Services (AWS) offers a rich platform for building deep learning (DL) systems [1]. On top of this, their introduction of the Amazon* Deep Learning AMI (Amazon Machine Image) - which comes with pre-built deep learning environments - further enhances their DL offering by…

Read more

#Partnerships #Technology

Apr 24, 2018   |   Jack Dashwood

Fake it ‘Till You Make It: Synthetic Datasets Assisting Machine Learning in Data Scarce Environments

Deep learning approaches are being applied across a broad spectrum of disciplines, having demonstrated that by combining big data with supervised learning, that we can train systems to perform artificial intelligence (AI)-centric tasks previously considered impossible with traditional approaches. One of the biggest drivers of the machine learning trend has been the availability of large…

Read more

#Technology

Apr 20, 2018   |   Bhushan Desam

Intel® Xeon® Processor: A Workhorse for Enterprise AI

Is your enterprise implementing artificial intelligence (AI) to be more efficient and to bring predictive capabilities for making better business decisions? Like many customers that we speak to, you may be considering various use cases that may involve tabular data, images, text, or sensor data from IoT and other sources. A common concern that many…

Read more

#Technology

Apr 18, 2018   |   Avijit Chakraborty, Adam Procter, Sharath Nittur Sridhar, Jayaram Bobba, Robert Adams, Leona Cook, Jennifer Myers

High-performance TensorFlow* on Intel® Xeon® Using nGraph™

We recently announced the open source release of Intel® nGraph™, a C++ library, compiler and runtime suite for running Deep Neural Networks on a variety of devices. Today we are pleased to announce availability of simplified bridge code that can be used to link TensorFlow-based projects to pre-optimized nGraph backends. The bridge code implementation delivers…

Read more

#Technology

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…

Read more

#Research #Technology

Apr 09, 2018   |   Intel AI

The Artificial Intelligence Conference in Beijing: Solving Real-World Problems with Frameworks Optimized for Intel Architecture

Intel is co-presenter of The Artificial Intelligence Conference in Beijing, China on April 10–13, 2018.  The event explores and shares the latest innovations in applied AI. Intel’s keynotes and sessions will share practical use cases and applications, and provide the technical knowledge needed to develop and implement successful AI applications across a variety of industries today.…

Read more

#Events