Student Developers for AI

University Students passionate about Machine Learning, Deep Learning and Artificial Intelligence, and seeking to advance these fields

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Ashok V. posted an update in Student Developers for AI

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Ashok Vardhan Sanda

Hi,

Myself, Ashok Vardhan Sanda working as an Advanced Business Analyst for SuccessFactors HCM Platform - managing Learning Management System with more than 7 years of experience. Parallelly, persuing part-time Ph.D on studying aboyt Granulometric and Anti-Granulometric analysis on both binary and gray-scale images under the guidance of Dr. B.S. Daya Sagar from ISI-Bangalore.

I am interested in learning of new technologies to shape my career growth.

Thanks Ashok Sanda

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suryaveer s. posted an update in Student Developers for AI

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suryaveer singh

Hi All,

My name is Suryaveer, currently an undergraduate student studying Electrical Engineering at IIT Indore,India. I am very passionate about AR/VR, Artificial Intelligence and IoT (Internet Of Things). Currently I am working on a VR (Virtual Reality) project with is related to the gaming controller. We can control almost every PC game by using this controller with the amazing experience of Virtual Reality.

I'm interested to learn more about AI, which may help in for solving real life problems.

I always want to learn.

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Anjana G. posted an update in Student Developers for AI

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Anjana Ganesh

I am a student pursuing Engineering in Computer Science. I will be completing my UG in April 2018 and would like to take up my PG in the line of AI. I am very much exited to do this after watching/reading the level of possible innovation across industry and the level of impact it will have 5 years down the line. I would like to explore more into this area and familiarize myself to be part of this wonderful journey. As a next step towards it, i am interested in understanding the underlying technology like NERVANA-NEON which can give me more visibility, clarity in the area of AI, ML.

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Edwin W. posted an update in Student Developers for AI

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Edwin Williams

Our research group here at USC works on a group of tasks around design theory, systems engineering, self-organizing systems, and machine learning. Part of the group is researching engineering methods and creativity (design theory work). Some of the group works on self-organizing system. The rest (myself included) are working on machine learning, cognitive computing, and collision avoidance strategies.

The collision avoidance problem is a topic that has been investigated for millennia, however, it was in the 1840's that the British government decided that the amount of shipping that was being lost due to collisions at sea needed to be resolved. From this point on many articles and root cause analysis investigations have taken place for shipping, automobiles, and aircraft. While the incidents of collisions have gone down, there is still an average of one collision that occurs each day at sea alone. And each of these collisions at sea have an average economic impact of $500MM.

The issue as we in our research group understands it is that there are non-linear and non-intuitive effects that lead to collisions. To assist in this our group is looking at ways that cognitive computing, can assist us in understanding what are the fundamental aspects that go into collision avoidance systems. This would be on the natural language processing part that cognitive computing can bring. The second part of what we are looking for is on the numeric and state driven risk analysis of collision scenarios. What are the "moves" that one should make at any given time that would allow the user to achieve the goals that are needed (safely bringing the cargo to port, landing the airplane, going to the mall in the car, etc.) without adding risk to the process.

What our immediate group is looking for is a way to take these data and functions and create guidance solutions to minimize the risk using cognitive computing. We also want to add more complexity over time for these models to include non-mechanical and non-numeric data to evaluate risk. We want to develop ways to provide the human crew and decision makers with the right set of information at any time given the system state (not just position) and data available. On the design side we have looked at how to use the expertise accrued across an organization for engineering design using cognitive computing methods. Finally, our group is not a computer science or computer engineering group; we are a group of mechanical, aerospace, and systems engineers. Because of this we would like documentation on how to create and deploy software for the Intel platform.

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Edwin W. posted an update in Student Developers for AI

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Edwin Williams

Our research group here at USC works on a group of tasks around design theory, systems engineering, self-organizing systems, and machine learning. Part of the group is researching engineering methods and creativity (design theory work). Some of the group works on self-organizing system. The rest (myself included) are working on machine learning, cognitive computing, and collision avoidance strategies.

The collision avoidance problem is a topic that has been investigated for millennia, however, it was in the 1840's that the British government decided that the amount of shipping that was being lost due to collisions at sea needed to be resolved. From this point on many articles and root cause analysis investigations have taken place for shipping, automobiles, and aircraft. While the incidents of collisions have gone down, there is still an average of one collision that occurs each day at sea alone. And each of these collisions at sea have an average economic impact of $500MM.

The issue as we in our research group understands it is that there are non-linear and non-intuitive effects that lead to collisions. To assist in this our group is looking at ways that cognitive computing, can assist us in understanding what are the fundamental aspects that go into collision avoidance systems. This would be on the natural language processing part that cognitive computing can bring. The second part of what we are looking for is on the numeric and state driven risk analysis of collision scenarios. What are the "moves" that one should make at any given time that would allow the user to achieve the goals that are needed (safely bringing the cargo to port, landing the airplane, going to the mall in the car, etc.) without adding risk to the process.

What our immediate group is looking for is a way to take these data and functions and create guidance solutions to minimize the risk using cognitive computing. We also want to add more complexity over time for these models to include non-mechanical and non-numeric data to evaluate risk. We want to develop ways to provide the human crew and decision makers with the right set of information at any time given the system state (not just position) and data available. On the design side we have looked at how to use the expertise accrued across an organization for engineering design using cognitive computing methods. Finally, our group is not a computer science or computer engineering group; we are a group of mechanical, aerospace, and systems engineers. Because of this we would like documentation on how to create and deploy software for the Intel platform.

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Jad F. posted an update in Student Developers for AI

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Jad Fayad

Hi everyone! I am an engineering graduate from INSA Lyon in France. I currently specialize in machine learning applications for medical imaging as I am passionate about dedicating my skills in AIto optimizing healthcare and medicine. I am also expanding by deep learning skills to create an AI powered app for meetings. I am happy to connect with any of you :)

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Souvik R. posted an update in Student Developers for AI

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Souvik Roy

Hi Everyone, This is Souvik Roy I'm particularly interested in Deep Learning, I'm developing a Network based Intrusion Detection System by using Deep Learning algorithms and training the model through TensorFlow and TFLearn. I'm still working on the project and will be implementing the IDS on real traffic to detect any malware traffic from normal traffic.

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Ezekiel A. posted an update in Student Developers for AI

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Ezekiel Adeyinka

My Name is Ezekiel Adeyinka, currently an undergraduate student studying Computer Science and Engineering at the Obafemi Awolowo University(OAU), Il-Ife, Nigeria. I am Currently a student Software engineer at iQube Labs and OAU Ilab research center and one of the things i do is i assemble and program Robots and drones using embedded systems with AI and Machine Learning Concept.Also we go schools to teach students how to program using robots and show them real life application in Science, technology, Engineering and Mathematics (STEM) based on their curriculum.

I'm presently working on using drones to explain basic concepts in mathematics and physics for secondary school students by making videos and posting them on a Blog.

I'm really interested to learn more about AI and ML to solve real life problems in my society and the world at large.

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Student Developers for AI

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Bob Duffy, Owner

Folsom, CA, USA

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University Students passionate about Machine Learning, Deep Learning and Artificial Intelligence, and seeking to advance these fields with amazing new and innovative Deep Neural Network Models and AI Applications

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Bob Duffy

Folsom, CA, USA

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Panuwat Janwattanapong

PhD Student and Research Assistant at Florida International Student focusing on Bioinformatics Signal Processing and Data Analysis.

Miami, FL, USA

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Antony Kariuki

A student in the field of mechatronic engineering with a strong passion in IoT /Embedded Systems/Machine Learning/Artificial Intelligence .

Kenya

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Ngesa N Marvin

IoT Champion for GDGs, SSA | Intel Student Partner, DeKUT | Co-Lead @GDGKimathiUni | Telecom Engineer | #IoT — #5G Freak, Maker @NodeBots

Kenya

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Mark Sand

Current second year Electrical and Computer Engineering major at UT Austin

Austin, TX 78712, USA

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krishnanunni c

I am a class 12 student.working with iot for 3 years. love cpmputer programming and wish to learn more from great developers

Chengalpattu, Tamil Nadu, India

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Ramy Mounir

PhD Student in the Mechanical Engineering Department at USF - Specialized in robotics and AI.

Tampa, FL, USA

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Srivignessh Pss

Interned in Deep Learning in Indian Institute of Technology. Interested in Regularization Techniques.

1265 E University Dr, Tempe, AZ 85281, USA

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Ritik Patnaik

My Name is Ritik Patnaik; I am currently a Sophomore at Plano East Senior High School.

Texas, USA

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IRPML

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Created: 01/17/2017

ML generated model of robotic arm.

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CaptionMe

Default user avatar 57012e2942 Sampath Chanda

Created: 01/19/2017

Automatic generation of captions for images (and scenes subsequently) using Artificial Intelligence.

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