RAESCY: A power side channel assessment framework for pre and post-silicon evaluation

Demand for smart, Internet-connected devices and other electronics has increased dramatically in recent years. This increase in demand for technological devices, driven by advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and autonomous systems, has exposed the digital system to potential security threats. As more...

Protecting CAN XL Protocol from Denial-of-Service Attacks

Over development of the past three decades, control systems in automobiles have undergone a significant transformation, shifting from mechanical devices to a multitude of interconnected computers that oversee sensors, drivers, and passengers. In today's modern vehicles, 50-80 independent computers, commonly referred to as Electronic Control...

Achieving Optimal Power Performance with Advanced FinFET Technology for NAND Memory Applications up to 8Gb/s I/O Bandwidth

3D NAND memory devices are intrinsically very cost sensitive, implying that their size, and hence logic area must be limited in order to acquire a chip which is able to conquer the competitive market price. Market forecasts of upcoming NAND products predict Input/Output (I/O) speed increase well beyond 2 Gb/s that is the current industry...

Cryogenic Digital CMOS Memories for Quantum Computing

Scalable universal quantum computers require classical control hardware, physically close to the quantum devices at cryogenic temperatures. Such classical controllers need digital memory for various applications, ranging from high-speed queues to high-speed and low-speed lookup tables and working memory. The power consumption of the memories...

A refocusing mechanism for a laser satellite communication terminal

There is an ever-increasing demand for high data transfer rates. Laser satellite communication is a promising technology which offers high data rates and more secure links than the mature radio frequency (RF) communication. To make a laser communication terminal market viable it must be low size, weight and power (SWaP). The telescope drives the...

Absence seizure prediction using recurrent neural networks

Absence seizures have a real-life impact on epileptic subjects, as day-to-day tasks can by suddenly interrupted making for dangerous situations. Though a lot of work has been done on seizure detection, to limit the impact on epileptic patients, the true necessity lies in timely prediction of seizures before they manifest. Various attempts have...

Designing the Brain of an Intelligent Lunar Nano-rover

As the Moon reemerges as a renewed fronteer in space exploration, the Lunar Zebro project proposes to deploy a swarm of miniature rovers for efficient lunar surface exploration. One of their goals is to leverage recent advancements in deep learning and AI-accelerating hardware, in conjunction with Commercial Off-The-Shelf technologies and the...

Underwater 3D localization and communication for mobile networked robots