Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
WinBuzzer

DeepSeek Reveals R1 Model Architecture Secrets Ahead of V4 Model Launch

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
Devdiscourse

AI can cut emissions and congestion in urban transport by nearly 50%

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...
IEEE

Observer-Based Deep Reinforcement Learning for Robust Missile Guidance and Control

Abstract: Conventional missile guidance and control systems are difficult to adapt to complex environments, and new missile guidance systems with fast and accurate decision-making capabilities and ...
Electronics360

Wind turbine control systems: From PID to reinforcement learning

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Devdiscourse

Multi-agent AI boosts safety and transparency of self-driving cars in cities

Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
TMCnet

Hexagon Robotics collaborates with Microsoft to advance the field of humanoid robots

Hexagon Robotics is pleased to announce a strategic partnership with Microsoft aimed at advancing humanoid robots with a focus on: Redefini ...
AZoSensors on MSN

Energy-aware protocol cuts power use in green IoT networks

Researchers introduce the EAVM protocol, achieving 17 % lower energy use and 20 % longer network lifetime in IoT systems with advanced virtualization techniques.
IEEE

Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding

Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...
KPVI

Passengers' Brain Signals May Help Self-Driving Cars Make Safer Choices

In a new study, Chinese researchers tested whether monitoring passengers’ brain activity could help self-driving systems make ...