Mass Innovation Nights 107: UMass Lowell Innovation Hub in Lowell, MA on FEB/15, 2018
Copyright © 2016-2018 CAIDE Systems, Inc.
Have you ever wished if there was a portable CT scan in an ambulance to diagnose a disease so that your loved one can directly head to an operating room with the result already sent to surgeons? If you have, then you are most likely our prospective investor. We are with a giant dream who are just about to put forward our first invention in the market to get closer to our dream.
Would you join in our dream? CAIDE Systems is looking for investment.
If you have any of these questions, CAIDE Systems has answers for you.
– Are you interested in investigating the capability of AI technology (Machine Learning and Deep Learning) in your special medical fields?
– Are you afraid of trying out the AI research ideas because of lack of supports and background knowledge?
– Do you want to apply for government research grants and need the preliminary results?
– Do you have life-saving ideas on improving current workflow or image review process?
– Do you want to implement it without creating major projects?
– Have you already worked in Deep Learning fields for your research projects, but you have hard time because of lack of supporting functions, such as heavy load of annotations, slow training, inaccurate models being developed?
m:Studio is a packaged platform that allows users to operate multiple medical Deep Learning research projects.
The platform is designed to support you for the detection of diseases and symptoms on body parts and organs.
Deep Learning based algorithms can be developed with platform and for academic findings.
CAIDE Systems was established with a belief that everyone should equally access to medical services, regardless of their social and financial status. By creating and providing an artificial intelligence (AI) diagnosis platform, CAIDE Systems hopes everyone can benefit from the equal access to medical services.
The current medical imaging diagnosis process is prone to human errors and delays caused by multiple reasons. It is also limited by challenges remained in the medical imaging interpretation. We have all the solutions to these problems and are proud to share our advanced AI medical platform built upon the cutting-edge Deep Learning technology.
CAIDE Systems team consists of leading Deep Learning Scientists, experienced Software Engineers and Business Program Manager. The team holds strong UI/UX development capability and is advised by respected medical experts. Having realized the importance of platform network, or community building, different applications are being developed through diverse medical research projects. Our packaged medical platform, called m: Studio, is the heart of this network, and Brain Stroke Detection for hemorrhages is the first application to be plugged in this platform. Ischemic detection is currently in the completion stage of development and is soon to be released. Several medical research teams from the US and abroad have already joined the CAIDE Systems network and are developing disease specific application products.
Organization Name (required)
Your Name (required)
Phone Number (required)
Message - Your Focus (required)
Our research team will contact you within a business day.
DATE: June 05, 2018
EMPLOYER: Caide Systems, Inc., 110 Canal Street. 3rd Floor. #318. Lowell, MA 01852
PLACE OF EMPLOYMENT: 110 Canal Street. 3rd Floor. #318. Lowell, MA 01852
POSITION: Deep Learning Researcher
-PhD degree in CS, EE, applied math is necessary.
-At least 2~3 years since started Ph.D
-Relevant paperwork is necessary
-Familiar with C/C++, Python, Java and Linux.
-Knowledge of machine learning, computer vision
-Hands on experience with Caffe, TensorFlow, Torch
QUALIFICATION REQUIREMENTS: 3+years of related industry experiences or Postdoc; Experiences with OpenCV, Scikit-Learn, NumPy, SciPy etc or Experiences with medical image analysis
WORK SCHEDULE: 40 hours per week: 9:00 a.m. – 5:00 p.m.
Any interested and qualified person should send resume to: Caide Systems, Inc., 110 Canal Street. 3rd Floor. #318. Lowell, MA 01852
Our team will contact you within a business day.