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Daimlas.com #1 Winner MIT Hackaton (knowledge-economy) B2B marketplace transforming your AI aspirati
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Title:
DEVELOPMENT OF SCIENTIFIC SOLUTIONS FOR 3D DATA ANALYSIS
Project:
Our goal is to Design a 3D and 2D data correlation module from different measurement equipment
Title:
ARTIFICIAL INTELLIGENCE PROJECT FOR AUTONOMOUS COMMERCE
Project:
Our goal is to study the behavior of a person in real time in a store based on video feeds and other sensors using image analysis and artificial intelligence techniques
Title:
OPTIMIZATION OF THE AUDIOVISUAL EXPERIENCE OF AN INTERACTIVE VIRTUAL ALBUM
Project:
Our goal is to offer a new, immersive musical format that brings fan and artist closer together by bringing their vision to the fore in a visual and interactive way. Candidates will optimize the interactive audio-visual experience of fans when experimenting with virtual albums
Title:
USING MACHINE LEARNING TO CLASSIFY USERS
Project:
Candidates will use machine learning to determine user interests and classify users by their actions on our platform such as file uploads, video plays, and discussion keywords
Title:
DESIGN AND IMPLEMENTATION OF A SMOKING CESSATION ALGORITHM EMBEDDED ON MEDICAL ELECTRONIC CIGARETTE
Project:
Our goal is to determine which data types are required from the grid level equipment and will attempt to quantify the value of the amalgamated data for a power utility
Project:
RESEARCH & DEVELOP NEW WIRELESS SENSOR
Title:
Candidates will research & develop new wireless sensor technologies that use traditional MEMS as well as emerging technologies such as SAW
Project:
DATA SCIENCE IN AGGREGATE AND SYNTHESIZE DATA
Title:
Our goal is to determine which data types are required from the grid level equipment and will attempt to quantify the value of the amalgamated data for a power utility
Project:
DATA SCIENCE IN AGGREGATE AND SYNTHESIZE DATA
Title:
Our goal is to create the most comprehensive and predictive data-set in the world to solve and put that data set into action using the latest research
Title:
NLP MODEL DISTILLATION
Project:
Our goal is to perform a survey of different methods for NLP model distillation, followed by selection and engineering of a candidate method as a part of our release process
Title:
DATA SCIENCE IN AGGREGATE AND SYNTHESIZE DATA
Project:
Our goal is to create the most comprehensive and predictive data-set in the world to solve and put that data set into action using the latest research
Title:
NLP MODEL DISTILLATION
Project:
Our goal is to perform a survey of different methods for NLP model distillation, followed by selection and engineering of a candidate method as a part of our release process
Title:
USING ML IN ALGORITHMIC RECOMMENDATIONS
Project:
Our goal is to build an algorithmic recommendation system as a web service that can take comparable inputs from any external system to generate algorithmic recommendation
Title:
RECOGNITION AND IDENTIFICATION OF WEB PAGE CONTEXTUAL
Project:
Candidates will focus on sub-componet identification, fingerprinting, change tracking, precedence history identification and analysis disregarding non-relevant component
Title:
DEPLOYMENT OF DISTRIBUTED FRACTIONALIZED ERASURE
Project:
Our goal is the proof of value, testing, and global deployment of the mission critical environments with the objective of implementing a high assurance data transmission and data integrity network
Title:
USING ML IN ADAPTIVELY DEVELOPING PROBABILISTIC
Project:
Candidates use trial data to build progressively more and more accurate probabilistic case duration by using Machine Learning
Title:
USING ML IN DEVELOPING PROBABILISTIC EMERGENCY SURGERY CASE DURATION FORECASTS
Project:
Our goal is to enhance image quality at same resolution or upscaling image to higher resolutions with clearer details. It has received high demands from edge devices for different applications
Title:
RESOLUTION ENHANCEMENT FOR EDGE DEVICES
Project:
Candidates will use our trial data to build progressively more and more accurate probabilistic case duration. This project will require advanced skills in machine learning and the candidate will be doing a fair bit of electronic drawing of bones and the complete skeleton form
Title:
CLASSIFYING DOMAIN OBSERVATIONS
Project:
The goal of this project is to increase the accuracy of our Machine Learning/Deep Learning predictions
Title:
CLASSIFYING DOMAIN OBSERVATIONS
Project:
Candidates will develop our own living hypothesis to cluster and create ensemble models to classify domain observations for health and safety
Title:
AI FOR CONTENT AND POPUPS
Project:
Candidates will use machine learning algorithm to determine the best content and popups that browse our client’s websites
Title:
AI FOR CONTENT AND POPUPS
Project:
Candidates will use machine learning algorithm will be used to determine the best content and popups to show to users that browse our client’s websites
Title:
ML AND AI PREDICTING CUSTOMER AND EMPLOYEE
Project:
Candidates will create natural language processing algorithms and training the AI to detect and predict things like customer and employee churn in order to help organizations be more efficient based on historical data
Title:
SEARCH AND REGISTRATION PLATFORM FOR TRADEMARK
Project:
Candidates will make the trademarking process as simple as domain registration to continue the development of our search and registration platform by using ML approaches
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Driven by innovation, powered by AI. Built for the business of learning.