IEEE

Optimizing Urban Intersection Management in Mixed Traffic Using Deep Reinforcement Learning and Genetic Algorithms

This study aims to optimize lane configurations at urban intersections within mixed traffic environments, integrating both Connected Autonomous Vehicles (CAVs) and Human-driven Vehicles (HVs). By ...

AMD’s next-gen “FSR Redstone” brings big gains, as long as you’re using a new GPU

Generally speaking, Nvidia’s DLSS technologies have provided better image quality than AMD’s FSR, but they have only been ...
VegOut Magazine

If these 10 things pop up in your social media algorithm, you’re more cultured than most

If your feed regularly surfaces 45-minute breakdowns of art history or two-hour explorations of urban planning, ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
eLife

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR–Gα interface

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
TMCnet

Macaron AI's Mind Lab Sets New Benchmark with Trillion Parameter RL at 10% Cost, Now Integrated Into NVIDIA Megatron

Macaron AI – a startup known for its Personal AI Agent – is betting on this very idea. Today, Macaron AI is officially ...
IEEE

Unsupervised Deep-Learning-Based Error Image Prior (DLEIP) Algorithm for Lung Electrical Impedance Tomography (EIT)

Abstract: A novel unsupervised algorithm, named deep-learning-based error image prior (DLEIP), is proposed for lung electrical impedance tomography (EIT). An ...