This approach has been effective in tools like Roo Code. For example, create modes for development from prompts, debugging from prompts, or editing from prompts. Then, write a mode prompt for each ...
VALL-E 2 is the latest advancement in neural codec language models that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity for the first time. Building upon the ...
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 ...
Understanding how synaptic interactions lead to circuit dynamics for neural computation requires experimental tools that can both observe and perturb neuronal activity across spatial and temporal ...
Visualizing neural connections in 3D with a new microscopy technique by C. Huygelen, Leiden University edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...
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 ...
Abstract: In-memory computing (IMC) has been identified as a promising paradigm for hardware neural network accelerators thanks to the reduced data movement and improved parallelism. A known issue of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback