Devdiscourse

Quantum deep learning decades away from practical breakthrough

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Code Bullet on MSN

A.I. Learns to play Snake using Deep Q Learning

Can an AI learn to play the perfect game of Snake? This video explores the capabilities of artificial intelligence in ...
Psychology Today

AI Uses Physics to Illuminate the Dark Proteome

Harvard and Northwestern researchers combine AI and physics to design unstable proteins that comprise the dark proteome.

Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
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 ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
Scientific Research Publishing

Cheng, Q., Xie, R., Wu, J., & Ye, F. (2024). Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 M Series Imagery. Remote Sensing, 16 ...

ABSTRACT: Wetlands play a critical role in water retention and supply in drainage connected regions. The Usangu wetland ecosystem contributes to recharging the Ruaha River, which is hydrologically ...
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 ...
Benzinga.com

C3.ai Warns Of Sharp Q1 Revenue Shortfall, Flags Deep Losses

C3.ai Inc. (NYSE:AI) released preliminary fiscal first-quarter results on Friday that point to a steep miss versus Wall Street expectations, with revenue projected at about $70 million and deep ...