We support North Texas high school and home school students who wish to enroll in NVidia's Deep Learning Institute. DLI offers introductory and advance training in deep learning, with many courses available online. Please contact us for more information. If you are an educator, inquire here.

Thanks to NVidia for inviting us into their learning community, and for donating Jetson Nano 2GB Developer systems for our AI program!

NVidia DEEP LEARNING

Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation, and others.

Deep learning differs from traditional machine learning techniques in that they can automatically learn representations from data such as images, video or text, without introducing hand-coded rules or human domain knowledge. Their highly flexible architectures can learn directly from raw data and can increase their predictive accuracy when provided with more data.

Deep learning is commonly used across apps in computer vision, conversational AI and recommendation systems. Computer vision apps use deep learning to gain knowledge from digital images and videos. Conversational AI apps help computers understand and communicate through natural language. Recommendation systems use images, language, and a user’s interests to offer meaningful and relevant search results and services.

Deep learning has led to many recent breakthroughs in AI such as Google DeepMind’s AlphaGo, self-driving cars, intelligent voice assistants and many more. With NVIDIA GPU-accelerated deep learning frameworks, researchers and data scientists can significantly speed up deep learning training, that could otherwise take days and weeks to just hours and days. When models are ready for deployment, developers can rely on GPU-accelerated inference platforms for the cloud, embedded device or self-driving cars, to deliver high-performance, low-latency inference for the most computationally-intensive deep neural networks.

More from NVidia about deep learning at https://developer.nvidia.com/deep-learning.

Experimental Jetson Battery pack and wireless access point supports research and development for our 2021-22 InvenTeams program.

An Advanced Computer Platform for Student Projects (engineering whitepaper)

Several of our current projects and inventions are derived from an abstract computer architecture and design guide used at Aledo High School in spring 2021. Dr. Sullivan wrote an engineering whitepaper providing a generic project definition, and students were asked to write whitepapers for their own specific and novel devices.

ExplorTech is a 501(c)3 educational nonprofit operating since 2015 in the north central Texas region. Our educational programs are offered tuition-free for all students accepted into our program. We promote diversity in our programs and we do not and shall not discriminate on the basis of race, color, religion (creed), gender, gender expression, national origin (ancestry), disability, or sexual orientation in any of its activities or operations.

The INVENT! “idea bulb” logo and the “explortech” globe logo are trademarks of ExplorTech, a North Texas 501(c) Educational Nonprofit. All rights reserved. For more information, visit www.home.explortech.org.