When was the last time you called someone in another state? How about another country, on another continent? How many miles away is that? Communicating over these long distances results in long (meters long!) antennas and cumbersome systems that not only take up space but require substantial labor and resources to build. While this works just fine on land, it does not translate well to all platforms of communication. For example, how can you implement those systems in the air for aircraft? What about on the ocean for naval ships?

Advanced modern day semiconductor manufacturing is heavily reliant on the reduction of feature sizes in order to pack more processing power into each chip. In order to create these small features, ASML’s cutting edge photolithography machines make use of Extreme Ultraviolet light (EUV) in order to produce chips with feature sizes on the order of 3 nanometers.

We consider an autonomous car racing setting with limited information about the racing environment thus requiring real-time localization, mapping, and control of our car when racing against opponents. We demonstrate the use of efficient navigation algorithms for autonomous car racing and obstacle avoidance when limited to onboard sensing and computation. We build off the open-source F1Tenth platform by heavily modifying a one-tenth scale remote control vehicle, thus allowing Robot Operating System (ROS) to interact with driving controls and onboard sensors simultaneously.

Current advancements in oceanographic research are limited by the complex and often specialized integration of marine hardware required for data collection. In response, Remora aims to further develop the Bristlemouth platform, a plug-and-play system for marine hardware, and become a scalable and affordable solution for collecting ocean data. With the use of a Raspberry Pi camera mounted on a durable, solar-powered buoy, Remora can capture and wirelessly transmit live image data, requiring minimal user intervention and low maintenance.

In next-generation fault-tolerant quantum computers, the increasing number of qubits on superconducting processors leads to a rise in infrastructure complexity, complicating the assembly procedure of the cryogenic system. The use of coaxial cables for connections to control and readout lines has become spatially inefficient, necessitating a shift in the wiring process. The solution is to replace coaxial cables with flex PCBs, increasing the number of lines per fridge port from 55 to 192.

BabyBot was created and continued by students and faculty who wanted to make the world a bit more equal for everyone. The CDC reports that cerebral palsy affects around 1 in 345 children, 41 percent of whom will never be able to walk independently. In an era of unprecedented medical advancements, we still see more children in need than professionals who can provide care – which is precisely what BabyBot hopes to change.

In today's automotive landscape, vehicles are being equipped with more cutting-edge technology than ever before to ensure passenger safety. Millimeter wave radar enables detection through weather conditions like rain, snow, and fog. Although radar is effective in adverse weather, it struggles to distinguish objects when direct line of sight is impaired in dense, cluttered environments. To this end, an individual sensor can be integrated into a distributed network to boost its robustness and versatility.

FLIR has recently released a miniature thermal camera called the Boson. The FLIR Boson camera utilizes a 320x256 thermal sensor as well as an onboard processor in a package that is significantly cheaper than an HD thermal camera. The downside with this camera is that the sensor is small, and finer details are missed upon inspection. This makes the Boson less applicable, less versatile, and less enticing to consumers. To combat this, an algorithm is being created that will upscale the image and attempt to improve its quality.