What is DeerFlow 2.0 and what should enterprises know about this new, powerful local AI agent orchestrator?

The primary condition for use is the technical readiness of an organization’s hardware and sandbox environment.

Jumping into the deep end of my NCAA Pool with AI

ChatGPT ran 50,000 tournament simulations, weighed efficiency ratings, coaching tendencies, and upset history — then asked me something no bracket sheet ever has: do you want to be right, or do you ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
The Lancet

Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

aShanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases, Department of Computer Science and Engineering, School of Electronic, Information ...
IEEE

Estimation of Output Current Ripple in Dual Active Bridge Converter for EV Battery Chargers Using a Fire Hawk Optimizer and Advanced Deep Learning Approach

Abstract: Accurate estimation of output current ripple in Dual Active Bridge (DAB) converters is critical for improving the performance and reliability of electric vehicle (EV) battery chargers.
IEEE

Research on Scheduling Optimization of New Energy Virtual Power Plants Integrated with Deep Reinforcement Learning and Grey Wolf Optimizer

Abstract: To improve the scheduling efficiency and information security level of virtual power plants (VPP), a new energy VPP optimization scheduling algorithm based on deep reinforcement learning ...