Welcome by Lisa Kelley & Joel Grimm
Bob Shin
Prof Sertac Karaman
(Use the links below to view each event)
Serious Game Design and Development with AI
Embedded Security and Hardware Hacking
Cyber Ops
Quantum Software
Medlytics, Data Science for Health & Medicine
Racecar and Medlytics: Kwajlein (pre-recorded)
CogWorks: Mexico (pre-recorded)
Remote Sensing for Disaster Response
Micro Electronics
Back to bASICs
Autonomous Cognitive Assistance (Cog*Works)
Racecar Poster Session
Dr. Bob Berman
Lisa Kelley & Joel Grimm introduce Dr. Bob Awards
Dr. Bob Awards
Team Awards
Closing Ceremony
Beaver Works Summer Institute will help students learn and understand cyber security. Software is pervasive and everyday reliance on software-intensive systems by individuals, businesses, industries, and governments is only increasing. The many benefits of using software, however, come at a price: the cyber threats are real, and their impacts can be devastating.
Beaver Works Summer Institute will give students a chance to explore the exciting intersection of data science and medicine. Students will build a solid foundation in the fundamentals of probability and statistics, and learn the basics of coding and machine learning techniques through a series of online teaching modules.
This course will introduce students to the process of game design with the application of Artificial Intelligence to game play. Very specifically, the course will focus on unconventional approaches to understand and address real world problems.
Beaver Works Summer Institute will cover several cyber security topics with a focus on threats that are especially concerning for embedded systems. These topics include: embedded software security, cryptographic protocol attacks, JTAG and UART probing, side-channel analysis and fault-injection, and hardware Trojans.
Remote Sensing for Disaster Response covers GIS, remote sensing, image processing, network science, and deep learning for emergency management applications. We use Python to process geospatial data, satellite and aerial imagery, and analyze networks to prepare, monitor, and respond to disaster situations.
Click here to join live stream
Beaver Works Summer Institute will offer a brand new course on open source semiconductor design and fabrication this summer. This course will give students practical experience with the building blocks of today’s electronic world—knowledge that will benefit the student no matter what they decide to pursue academically. Students will receive hands-on experience on how to design and arrange semiconductors on a nanometer scale to perform a specific function.
Click here to join live stream
In recent years, there has been an enormous surge of interest in quantum computing. Government, academic and commercial organizations have spent billions of dollars attempting to create reliable, general-purpose quantum computers.
The program will guide students in learning and applying the foundational technologies of artificial intelligence for building cognitive assistants. The program will be divided into modules during which students will implement and explore algorithms in core areas of natural language processing and machine cognition.
Watch student independent projects as they apply the skills they learned in areas of there interests.
The four-week summer component of Medlytics will take a deep dive into the application of data analytics to physiological signals and time-series data. Daily course material, case studies, guest lectures, and small-group projects will expose students to challenges in signals analysis and some state-of-the-art machine learning solutions
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The world runs on microelectronics, and they have transformed our modern world. You might have heard about the chip shortage in the news in recent years. But how are these chips made and what makes them so special? And how can we get started in using microchips to create our own unique electronic hardware systems right at home?
The online component for the Cog*Works course will contain important introductory material that will provide students with the background required to successfully complete the four-week summer course. In addition to the introductory material, the online course will include more advanced machine learning–specific material that will enable students to begin exploring problems specific to cognitive assistants.