Smart Empower Innovation Labs Inc. will be contributing to a new book on recent R&D trends and directions in Machine Learning. The chapter will discuss some of our recent work on sparse learning and its applications to Industrial IIOT.
We are excited to announce that Smart Empower Innovation Labs Inc. has been selected to receive support from Alberta Innovates to further advance our efforts towards AI-Enabled IoT Solutions.
A new research publication has been accepted on the application of our Sparse Learning Framework in IoT Big Data.
“A Multi-Scale Best Basis Sparse Learning Framework for Efficient IoT Big Data Applications“
We are delighted to announce that Smart Empower Innovation Labs Inc. has been selected to join IBM PartnerWorld through the IBM Global Entrepreneur program. We are excited for this news and the opportunities it opens. As a member of the IBM Innovation Ecosystem, Smart Empower Innovation Labs will receive support from IBM to accelerate our efforts to bring Artificial Intelligence to the Embedded computing paradigm for wide range of IoT applications.
A new publication has been submitted about our newly developed Sparse Learning Framework for Efficient IoT Big Data Applications.
A beta-release for our IoT learning framework is scheduled for release in Fall 2018. If interested in a demo run using your IoT data, contact us at firstname.lastname@example.org
With the escalating demand of IoT in industrial applications, Smart Empower Innovation Labs is working with our R&D collaborative partner,Great Wall of Information Security(GWiS) on adding decentralized Intelligence to traditional Internet of Things.
Two new research publications for Smart Empower Innovation Labs on role of Sparisty in Machine Learning: 1."Appearance-based Salient Features Extraction in Medical Images Using Sparse Contourlet-based Representation", International Journal of Image, Graphics and Signal Processing(IJIGSP), Sep. 2017 http://www.mecs-press.org/ijigsp/ijigsp-v9-n9/v9n9-1.html 2."Multiscale Sparse Appearance Modeling And Simulation OF Pathological Deformations",ICTACT Journal on Image and Video Processing ( Volume: 8 , Issue: 1 ), Sep 2017 http://ictactjournals.in/paper/IJIVP_Vol_8_Iss_2_Paper_8_1596_1605.pdf
We joined the Canadian Artificial Intelligence Association (CAIAC). CAIAC is concerned with the promotion of Artificial Intelligence through workshops, a national annual conference, and the Journal of Computational Intelligence.
Smart Empower Innovation Labs brings over 15 years of R&D experience in Oil and Gas industry developing embedded systems, signal processing, and data analysis and decision support models.
Extensive experience developing world-class embedded systems architecture and design for Oil and Gas, with hands-on technical expertise in areas such as:
- low-power embedded design for harsh environment.
- sensor interfacing and environmental qualification.
- High temperature electronics.
Extensive experience in unlocking potentials of machine learning and data science for Oil and Gas industry. We have years of experience in analyzing down-hole data and developing decision support systems. Experience working with large down-hole data sets.
For more details, check our brochure R&D Energy brochure