Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
As simple plot twists and instant gratification no longer suffice to retain viewers, China’s short-form drama sector is entering a period of deep structural adjustment. By mid-2024, the number of ...
Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...
Background: Large language model (LLM) artificial intelligence (AI) tools have the potential to streamline health care administration by enhancing efficiency in document drafting, resource allocation, ...
In power distribution systems, three-phase transformer configuration directly impacts system reliability and load management.
Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...
Abstract: Deep learning models have been widely investigated for computing and analyzing brain images across various downstream tasks such as disease diagnosis and age regression. Most existing models ...
Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...
Abstract: Edge computing has emerged as a popular paradigm to meet the growing demands of time-sensitive and compute-intensive tasks. In edge computing systems, the problem of task load imbalance ...
The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...
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