Research on HW/SW efficient DNN quantization/optimization techniques and their applications on Intel platforms.
1. Undergraduate/Master/Ph.D. candidate in Computer Science, Electrical Engineering, Automation or related 2. Good background on machine learning/deep learning/computer vision/pattern recognition related areas 3. Matured on C/C++, and script languages e.g. Shell and Python 4. Experienced in Linux develop environment, familiar with deep learning framework such as Caffe, TensorFlow, MXNet, etc. 5. At least 3 days per week for 6~12 months.6. Have DL related publication is a big plus.Inside this Business Group
Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.