ISEF 2021 Sponsorship Opportunities

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SPONSOR AN ISEF GRAND AWARDS CATEGORY

ISEF CATEGORIES

ROBOTICS AND INTELLIGENT MACHINES

SYSTEMS SOFTWARE

Projects in which the use of machine intelligence is paramount to reducing the reliance on human intervention. The subcategories provide additional guidance and definition as well as a level of specificity to match judges’ expertise with student projects

Projects that study or develop software, information processes, or methodologies to demonstrate, analyze, or control a process/ solution. The subcategories provide additional guidance and definition as well as a level of specificity to match judges’ expertise with student projects.

Subcategories Biomechanics Cognitive Systems Control Theory Machine Learning Robot Kinematics

Subcategories Algorithms Cybersecurity Databases Human/Machine Interface Languages and Operating Systems Mobile Apps Online Learning

SPONSORED

WINNING PROJECTS Drone Defense System: Detection, Tracking, Classification, and Targeting of Flight Objects in 3D and Real Time Tassilo Schwarz, Germany Looking through Walls with Artificial Intelligence: An Innovative Solution for Real-Time Retrieval of the Human Figure behind Visual Obstruction Kevin Meng, Texas, United States Autonomous Window Cleaning Robot for Commercial High Rise Buildings Oliver Nicholls, Australia

WINNING PROJECTS Improved Gate Level Simulation of Quantum Circuits Adam Kelly, Ireland Weight Friction: A Simple Method to Overcome Catastrophic Forgetting and Enable Continual Learning in Neural Networks Gabrielle Liu, Tennessee, United States Variable Density Cubic Infill for Fused Filament Fabrication

A Novel Approach to Call Quality Assessment Using Deep Neural Networks Sandu Chirita, Moldova Robotic Revolution in the Construction Industry: An Autonomous Roof Shingling Robot Joseph Saturnino, Canada Unlocking History: An Algorithm to Virtually Unfold 3D Computed Tomography Scans of Unopened Historical Documents Holly Jackson, California, United States

Pearfect—A Modern Interpreted Programming Language Which Efficiently Unites Functional and Object-Oriented Programming Michal Paszkowski, Poland Seeing Clearly and Farther: Augmented Perception for Safe Driving in Adverse Weather and Reduced Visibility Conditions Ruihua Chou, China FASTCAT: A Predictive Neural Network Based Fire Size Classifier Dylan Wichman, Montana, United States

Martin Boerwinkle, Arkansas, United States AirPhone: Cloud Generation Smartphones Uladzislau Hadalau, Belarus

VIRTUAL INTERNATIONAL SCIENCE AND ENGINEERING FAIR | SPONSORSHIP OPPORTUNITIES

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