At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: Three-dimensional (3D) data analysis, especially 3D reconstruction, is critical within integrated circuits for quality control and inspection. The traditional 3D reconstruction, like ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening ...
A project group including Tongji University, Stanford University and Shanghai Institute of Technical Physics has developed a camera said to help solve the inherent imaging trade-off between bandwidth ...
Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting performance for neuromorphic image recognition. (Nanowerk News) Researchers ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
Prototype of a chip-scale RF signal processor with 3D-printed antenna arrays for antenna-in-structure or wearable wireless systems. PULLMAN, Wash. – Washington State University-led researchers have ...
TL;DR: Sony and AMD's Project Amethyst introduces Neural Arrays, Radiance Cores, and Universal Compression to enhance next-gen PlayStation consoles like the PS6. These technologies optimize GPU ...
WASHINGTON — Boeing announced it has begun 3D printing the structural panels that form the backbone of satellite solar arrays, a step the aerospace giant says will cut production times in half and ...
3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...