insideHPC

Ask a Data Scientist: Unsupervised Learning

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
ET Now on MSN

IIT Roorkee launches Advanced Certificate in Quantum Computing: Algorithms and AI/ML

The 6.5-month online certificate programme, offered via the Continuing Education Centre (CEC), IIT Roorkee in association ...

Jiangsu Aoyi Blue Intelligent Launches AI-Driven Automated Production Line Scheduling System to Enhance Equipment Utilization

In the field of industrial internet in 2025, Jiangsu Aoyi Blue Intelligent Technology Co., Ltd. has introduced remarkable innovations. The company has applied for a patent for an "AI-Based Automated ...

Is Crypto Ready For Q-Day? The Quantum Countdown Has Begun

Quantum computing threatens crypto's security. Learn what Q-Day means for digital assets and how investors and developers can ...
Edex Live on MSN

Code Couture: Bengaluru teen transforms algorithms into art and a movement for global empowerment

In a quiet corner of Bengaluru, 17-year-old Samvar Shah is weaving together strands of code, creativity, and compassion. A ...

The Next Big Theme: Positioning For Early Growth In Quantum Computing

Despite macroeconomic headwinds, the launch of the WisdomTree Quantum Computing Fund offers exposure to a fast-evolving ...
IEEE

Double Successive Over-Relaxation Q-Learning With an Extension to Deep Reinforcement Learning

Abstract: Q-learning (QL) is a widely used algorithm in reinforcement learning (RL), but its convergence can be slow, especially when the discount factor is close to one. Successive over-relaxation ...
IEEE

Optimal Secure Control for Cyber-Physical Systems Under False Data Injection Attacks via Incremental Iterative Q-Learning Algorithm

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
Frontiers

Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler

Genome assembly remains an unsolved problem, and de novo strategies (i.e., those run without a reference) are relevant but computationally complex tasks in genomics. Although de novo assemblers have ...
Semiconductor Engineering

SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)

A new technical paper titled “Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...