Efficient CORDIC-based Activation Function Implementations for RNN Acceleration on FPGAs

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
CORDIC   RNN   activation function   FPGA   hardware acceleration   natural language processing   edge devices  

Efficient Implementation of RNN Activation Functions: Breakthroughs in CORDIC Algorithms and FPGA Hardware Acceleration Background and Research Significance In recent years, with the rapid advancement of deep learning technologies, Recurrent Neural Networks (RNNs), particularly Long Short-Term Memory (LSTM) networks, have demonstrated powerful capa...

A Monolithic 3D IGZO-RRAM-SRAM-Integrated Architecture for Robust and Efficient Compute-in-Memory

Engineering, Electrical Engineering, Information Science, Computer Science, Semiconductors and Information Devices, Artificial Intelligence,
compute-in-memory   monolithic 3D   RRAM   IGZO   3D stacking   neural networks   system optimization  

Monolithic 3D IGZO-RRAM-SRAM Compute-in-Memory Architecture: A Breakthrough in Improving Neural Network Computation Efficiency Background and Research Motivation As neural networks (NNs) continue to find applications in artificial intelligence, traditional computing architectures struggle to meet their needs for energy efficiency, speed, and densit...

Surface Structural Changes in Silicone Rubber Due to Electrical Tracking

Chemistry, Polymer Chemistry, Materials Chemistry, Engineering, Electrical Engineering, Materials Science, Organic Polymeric Materials, Information Science, Computer Science,
silicone rubber   electrical insulators   tracking   ATR-FTIR spectroscopy   two-dimensional correlation spectroscopy   aging   surface roughness  

Cutting-Edge Scientific News: Research Reveals Degradation Mechanisms of Silicone Rubber under Electrical Tracking Background: Motivation and Challenges With the rapid development of power transmission and distribution systems, polymer composite insulators have gradually replaced traditional glass and ceramic insulators as the preferred materials f...

Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...

Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems

Mathematics, Engineering, Electrical Engineering, Information Science, Automation, Artificial Intelligence,
Event-Triggered Control   Fuzzy Logic Systems   Parabolic PDE-ODE Systems   Stabilization Control   Adaptive Backstepping  

Scientific Report: On “Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems” Research Background and Significance In modern engineering systems, such as flexible manipulators, heat transfer devices, and reactor controllers, many complex systems must be modeled using partial differential equations (PDEs). Due to their unique rea...

Integration of High-κ Native Oxides of Gallium for Two-Dimensional Transistors

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   gallium oxide   high-κ dielectric   transistors   surface-tension-driven method   ultrathin layer   interface quality  

Report on the Integration of High-κ Gallium Oxide in 2D Transistors Academic Background With the continuous advancement in semiconductor technology, 2D materials (such as molybdenum disulfide, MoS₂) are considered promising candidates for next-generation transistor channel materials due to their unique electrical properties and atomic-scale thickne...

Rapid Cryogenic Characterization of 1,024 Integrated Silicon Quantum Dot Devices

Physics, Quantum Physics, Engineering, Electrical Engineering, Information Science, Semiconductors and Information Devices,
quantum dots   silicon quantum dots   cryogenic characterization   quantum computing   semiconductor manufacturing   radio-frequency reflectometry   automated machine learning  

Rapid Cryogenic Characterization of 1,024 Integrated Silicon Quantum Dot Devices: A Review Background Quantum computing, as a disruptive technology in computing, holds the promise of far surpassing traditional high-performance computers in areas such as materials science, drug discovery, and big data search. Silicon-based quantum dots (Quantum Dot,...

Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   3D transistors   CMOS technology   quantum transport simulations   energy efficiency   nanoscale scaling   transition metal dichalcogenides  

Academic Paper Report: Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling Introduction In recent years, as silicon-based complementary metal-oxide-semiconductor (CMOS) technology approaches its physical limits, the continued miniaturization and performance optimization of next-generation microelectronics face ...

An Optoelectronic Microwave Synthesizer with Frequency Tunability and Low Phase Noise

An Optoelectronic Microwave Synthesizer with Frequency Tunability and Low Phase Noise

Physics, Optics, Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
optoelectronic synthesizer   microwave frequency   low phase noise   frequency tunability   optical frequency comb   direct digital synthesis   X-band  

Optoelectronic Microwave Synthesizer: Combining Frequency Tunability with Low Phase Noise Academic Background In modern communication, navigation, and radar systems, frequency-tunable and low-noise microwave sources are critical. Traditional electronic microwave synthesizers offer frequency tunability but exhibit high phase noise, limiting their us...

Intelligent Headset System with Real-Time Neural Networks for Creating Programmable Sound Bubbles

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
intelligent headset   sound bubble   real-time neural networks   noise cancellation   distance perception   embedded CPU   acoustic scene  

Discussion of “Sound Bubbles” and the Future of Hearable Devices: Innovations Based on Real-Time Neural Networks In daily life, noise and complex acoustic scenes often make speech difficult to distinguish, particularly in crowded environments such as restaurants, conference rooms, or airplanes. While traditional noise-canceling headphones can suppr...