Among all terahertz systems that hold potential in bridging the "terahertz gap" between electronics and photonics, antiferromagnetic materials truly stand out because the quantum spin of antiferromagnetic magnons usually play decisive roles in physical processes, providing a natural connection between the spins of electrons and photons, which is essential for device engineering in the terahertz...

The video computing group led by Prof. Amit Roy-Chowdhury has recently developed a new method that can detect manipulated facial expressions in deepfake videos with higher accuracy than current state-of-the-art methods. The method also works as well as current methods in cases where the facial identity, but not the expression, has been swapped, leading to...

Deep neural networks, or DNNs — layers of algorithms that perform computations in an orderly progression to make the apps work — need to be optimized for each device. On other devices, it can take longer for the DNN to perform computations, causing the app to lag. This lag is known to computer scientists as...

Under an optical microscope, carbon nanotubes, for example, look grayish. The inability to distinguish fine details and differences between individual pieces of nanomaterials makes it hard for scientists to study their unique properties and discover ways to perfect them for industrial use. In a new report in Nature Communications, researchers from UC Riverside describe a...

It is critical to performance engineering that we can investigate the efficiency of applications in utilizing hardware components. As new hardware technologies, including hardware accelerators and fast, non-volatile memory technologies emerge and be integrated into systems, it is essential that profiling tools must allow performance engineers to re-examine the interactions between applications and emerging hardware...

High thermal conductivity mediated by spin excitations has been recently observed in several quantum materials with unique low-dimensional crystal structures. However, the thermal transport mechanisms of spin excitations are not well understood. ECE Professor Xi Chen and his team have reported the synthesis and thermal transport measurements of spin ladder Sr 14Cu 24O 41 microstructures...

Machine learning applications have observed tremendous breakthroughs by the abundance of data in today's world, including the data collected by everyday devices such as smart phones, cars, and home appliances. The data collected in such environments, however, often carries sensitive personal information, such as personal identifiable information, images, videos, financial transactions, or geolocation information, the...

Device miniaturization, higher speed and universal deployment of portable electronics made electromagnetic interference (EMI) shielding crucially important. A research team led by a distinguished professor Alexander A. Balandin and research professor Fariborz Kargar, Department of Electrical and Computer Engineering, University of California – Riverside (UCR) [link to the group’s web-site: https://balandingroup.ucr.edu/], reported on the scalable...

ECE and CSE Professor Nael Abu-Ghazaleh and his team, including Hoda Naghibijouybari and CSE Professor Zhiyun Qian, develop the first known side-channel attacks on Graphical Processing Units (GPUs). The work demonstrated a number of attacks including fingerprinting the web browsing behavior of a user, and stealing passwords entered using the browser, as well as recovering...

What if you could solve two of Earth’s biggest problems in one stroke? ECE Professor Mihri Ozkan and ME Professor Cengiz Ozkan have developed a way to recycle plastic waste, such as soda or water bottles, into a nanomaterial useful for energy storage. They have been working for years on creating improved energy storage materials...

The “Terahertz Gap” between electronics and photonics is one of the most prominent problems in the past century, which refers to the absence of reliable devices (even conceptually) for signal processing, emission, and detection in the Terahertz frequency regime — 1 trillion oscillations per second. Despite numerous efforts, the terahertz gap remains a persisting issue...

The paper, Dynamic Multi-Resolution Data Storage, authored by UCR researchers, Yu-Ching Hu and Prof. Hung-Wei Tseng, and Tseng’s former students, Murtuza Lokhandwala and Te I, has been selected for IEEE Micro’s Top Picks from the 2020 Computer Architecture Conferences. Top Picks is an annual special edition of IEEE Micro magazine that acknowledges 10-12 most significant...

The Google AI Quantum team published a landmark paper on Quantum Supremacy (see the paper and blog ). For the first time, it was demonstrated that a programmable quantum processor can compute a well-defined mathematical problem which is impossible for the best current supercomputers. This opens a new page in Quantum Computing and promises applications...

Seeing was believing until technology reared its mighty head and gave us powerful and inexpensive photo-editing tools. Now, realistic videos that map the facial expressions of one person onto those of another, known as deepfakes, present a formidable political weapon. Research led by Amit Roy-Chowdhury’s Video Computing Group has developed a deep neural network architecture...

A research team led by Prof. Ming Liu from ECE and Prof. Ruoxue Yan from Chemical and Environmental Engineering has developed a new optical technique to improve the efficiency of near-field scanning optical microscope (NSOM) probes by orders of magnitude, and used this technique to achieve 1-nanometer spatial resolution in optical imaging. The paper, titled...

Nvidia highlighted our undergraduate GPU Computing and Programming course (CS/EE147), developed by Prof. Daniel Wong. The blog post highlighted how NVIDIA Teaching Kits offered by the NVIDIA Deep Learning Institute are used and integrated into the university curriculum. This course teaches the basics of GPU computing, such as parallel execution models, parallel algorithms and performance...

The team led by Prof. Alexander Balandin has made an important step toward the development of practical magnonic devices by studying, for the first time, the level of noise associated with the propagation of magnon current. The paper, “The discrete noise of magnons,” is a feature story in Applied Physics Letters, and will also appear...

Eavesdropping on wireless communications depends on the ability to determine critical information about the basic properties of the communication link, known as channel state information, or CSI. A new study suggests ways to prevent eavesdroppers from obtaining the channel state information, offering a first line of defense for wireless security. Yingbo Hua describes a scenario...