Expert guidance to the projects in computer science, engineering for MTech, ME & PhD research scholars for their academic requirement.
We also help research scholars to make custom and semi-custom computer science, IEEE projects for submission in final year. For more info Visit at:-http://www.techsparks.co.in/
Machine Learning (ML) algorithms are gaining momentum as main components in a large number of fields, from computer vision and robotics to finance and biotechnology. However, many challenges need to be solved when Artificial Intelligence is applied to different settings, such as cloud computing or embedded systems. At the same time, the use of Field Programmable Gate Arrays (FPGAs) for data-intensive applications is increasingly widespread thanks to the possibility to customize hardware accelerators and achieve high-performance implementations with low energy consumption. This presentation is an overview of the ongoing ML-based projects that are developing at NECSTLab, the laboratory of hardware architectures and computer security of Politecnico di Milano.
Unsupervised Methods for Image Super-ResolutionSEMINARGROOT
References:
The perception - distortion tradeoff , Yochai Blau , Tomer Michaeli ; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018,
Unsupervised Image Super - Resolution Using Cycle - in - Cycle Generative Adversarial Networks , Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018,
Photo - Realistic Single Image Super - Resolution Using a Generative Adversarial Network , Christian Ledig , Lucas Theis , Ferenc Huszar , Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani , Johannes Totz , Zehan Wang, Wenzhe Shi; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Unsupervised Image Super - Resolution Using Cycle - in - Cycle Generative Adversarial Networks , Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018
Unpaired Image - To - Image Translation Using Cycle - Consistent Adversarial Networks , Jun - Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros ; The IEEE International Conference on Computer Vision (ICCV), 2017,
Image Steganography: An Inevitable Need for Data Security, Authors: Sneh Rach...Rajesh Kumar
With the advent of growing terrorism in the world and the availability of internet, Data Integrity is being endangered. Hence ensuring the security of the messages is paramount. Steganography is used- the process of hiding information in image, video etc. Steganography is not any novel technique, it had been used too earlier where they use to shave the head and embed the message on to it and then wait for the hair to grow in ancient Greece; it was also used in war times. The methodology carried out here is of Least Significant Bit technique and random pixel technique. A brief analysis of various algorithms is done and histogram is also plotted. The image steganography methodology is performed using MATLAB/Simulink. It is also vindicated as to where to hide the message in the image so that, it is barely noticed by any observer, keeping in view the quality, size and resolution of the image.
Makine Öğrenmesi, Yapay Zeka ve Veri Bilimi Süreçlerinin Otomatikleştirilmesi...Ali Alkan
Makine Öğrenmesi, Yapay Zeka ve Veri Bilimi Süreçlerinin Otomatikleştirilmesi | Automating Machine Learning, Artificial Intelligence, and Data Science | Guided Analytics
Expert guidance to the projects in computer science, engineering for MTech, ME & PhD research scholars for their academic requirement.
We also help research scholars to make custom and semi-custom computer science, IEEE projects for submission in final year. For more info Visit at:-http://www.techsparks.co.in/
Machine Learning (ML) algorithms are gaining momentum as main components in a large number of fields, from computer vision and robotics to finance and biotechnology. However, many challenges need to be solved when Artificial Intelligence is applied to different settings, such as cloud computing or embedded systems. At the same time, the use of Field Programmable Gate Arrays (FPGAs) for data-intensive applications is increasingly widespread thanks to the possibility to customize hardware accelerators and achieve high-performance implementations with low energy consumption. This presentation is an overview of the ongoing ML-based projects that are developing at NECSTLab, the laboratory of hardware architectures and computer security of Politecnico di Milano.
Unsupervised Methods for Image Super-ResolutionSEMINARGROOT
References:
The perception - distortion tradeoff , Yochai Blau , Tomer Michaeli ; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018,
Unsupervised Image Super - Resolution Using Cycle - in - Cycle Generative Adversarial Networks , Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018,
Photo - Realistic Single Image Super - Resolution Using a Generative Adversarial Network , Christian Ledig , Lucas Theis , Ferenc Huszar , Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani , Johannes Totz , Zehan Wang, Wenzhe Shi; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Unsupervised Image Super - Resolution Using Cycle - in - Cycle Generative Adversarial Networks , Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018
Unpaired Image - To - Image Translation Using Cycle - Consistent Adversarial Networks , Jun - Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros ; The IEEE International Conference on Computer Vision (ICCV), 2017,
Image Steganography: An Inevitable Need for Data Security, Authors: Sneh Rach...Rajesh Kumar
With the advent of growing terrorism in the world and the availability of internet, Data Integrity is being endangered. Hence ensuring the security of the messages is paramount. Steganography is used- the process of hiding information in image, video etc. Steganography is not any novel technique, it had been used too earlier where they use to shave the head and embed the message on to it and then wait for the hair to grow in ancient Greece; it was also used in war times. The methodology carried out here is of Least Significant Bit technique and random pixel technique. A brief analysis of various algorithms is done and histogram is also plotted. The image steganography methodology is performed using MATLAB/Simulink. It is also vindicated as to where to hide the message in the image so that, it is barely noticed by any observer, keeping in view the quality, size and resolution of the image.
Makine Öğrenmesi, Yapay Zeka ve Veri Bilimi Süreçlerinin Otomatikleştirilmesi...Ali Alkan
Makine Öğrenmesi, Yapay Zeka ve Veri Bilimi Süreçlerinin Otomatikleştirilmesi | Automating Machine Learning, Artificial Intelligence, and Data Science | Guided Analytics
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
Exploring Career Paths in Cybersecurity for Technical CommunicatorsBen Woelk, CISSP, CPTC
Brief overview of career options in cybersecurity for technical communicators. Includes discussion of my career path, certification options, NICE and NIST resources.
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading & best Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide.
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1. Work Experience and Internships
20 Sep’19-NowSoftware Engineer Protein Metrics 20863 Stevens Creek Blvd #450 Cupertino, CA
- Devised algorithms for Product Suite Byos®, primarily simulated
mass spectrometry data, mono-isotopes, averagine model in C++ ,
spectra similarity for Sequence Variants, Glycopeptides in Python
- Working on graphical networks infrastructure for peptide identifica-
tion improvement, clustering via ML and (DGraph) queriy analysis.
Jun-Sep’18 Summer Intern| GPU & DL NVIDIA Corporation| Santa Clara, CA
-Developed a Deep learning solution to optimize GPU testbench &
coverage( 20X impr.) Neural net model in PyTorch for prediction
-Trained feature segmentation algo improving control (Turing GPU)
2016-May’17 Research Assistant| CV Indian Institute of Science|CGRA Team
-Designed a reconfigurable Vector Processor for streaming kernels.
( 3X perf over scalar processors)
-Synthesized real time Face recognition Neural Net in C++, Python
Research
Sep’18-Apr’19Medical Imaging & Deep Learning Gevaert Lab, Stanford
- Worked on imaging bio-marker segmentation and 3-D Neural Au-
toencoder feature analysis using Keras models.
- Developed a model incorporating registered patch based approach
for hassle-free training in disease classification.(∼ 3% error) transfer
to a Multi-class model for neural images & molecular characteristics
Apr-Jul’19 Meta-gradient Learning| Reinforcement Learning Stanford
-Designed Meta-gradient method for policy estimation on toy Markov
Reward Processes (MRP) and ATARI games
-Proposed and evaluated primal-dual meta-objective alleviating dou-
ble sampling; learning discount factors by 10% better than baseline
Projects
Jun-Sep’19 Natural Language| Sentiment classification & NER Praxis Inc.
-Developed NLP models for VR responses sentiment and data viz.
-Devised ensemble model (in PyTorch )(Acc. 95%) tailored to
increment empathetic response after VR experience.
Sep-Dec’18 Artificial Intelligence| Robotic Digit Mimicking Stanford
-Developed a CNN to estimate and learning actions at all pen states
-Devised algorithm (in Python ) to trace out simple digits (Acc. 98%)
Apr-Jun’18 Deep Learning| Neural Net Approaches to DNA Denoising Stanford
-CNN approach (U-Net architecture) predicting entire denoised DNA
sequence (0.05% error on reference sequences)
-RNN model predicting localized nucleotide substitution/deletion;
model in Keras, TF (2.8% error/seq.)
Sep-Dec’17 Machine Learning| Supervised autonomous driving Stanford
-Formulated end-to-end steer and throttle driving control from
recorded raw images, trained CNN ( TensorFlow ) with LSTM ends.
-Worked on improving "performance metrics" to increase max speed
without offshoot & image processing NVIDIA architecture.
Achievements
2016 CDNLive Best Paper Award
Functional safety analysis verification solution
2015 Runner up Paper APOGEE
Robust Iris segmentation hardware module
Electives/Online Courses
Creative Thinking|AI in Imaging|Computer Vision| Data Science| Natural Language
Abhishek
Roushan
abhishek.roushan12@gmail.com
650-300-9151
Pursuing interests in AI/ Deep
learning applications in medical
data, Bioinformatics & imaging
Education
Stanford University, CA
MS in Electrical Engineering |
Depth: Software & Hardware
Systems| Jun 2019 | GPA:3.74/4.00
BITS Pilani, India
B.E in Electronics & Instrumentation
Depth: Computer & Hardware
systems| Jun 2016| GPA: 9.45/10.00
Skills
Languages: Python, C/C++, OpenCV,
MATLAB, Java, Scala, Perl, LATEX
Deep Learning.: PyTorch, Tensorflow,
Keras, Google Cloud Platform, AWS
WebDev : HTML, JS
Other: MySQL, NLTK, Git, Data Mining,
MapReduce, SLAM
Miscellaneous
Coursework
Machine Learning/Deep Learning
Artificial Intelligence/ Reinf. Learning
CNNs/Generative Networks
Computer Systems
Computer Vision
Natural Language Processing (NLP)
Algorithmic Machine Learning
Data Mining
Virtual Reality
Links
Github: https://bit.ly/2C5Bzff
LinkedIn: https://bit.ly/2QCuua0
Quora: https://bit.ly/2IQuwZr
Strengths
Diligent • Quick Learner • Proactive
•Organization •Communication
Life Ideology
"Things won’t change if you don’t
change the way you look!"
