The timing of rewards plays a key role in learning, study finds

For almost a century, psychology and neuroscience researchers have been trying to understand the processes via which humans and other animals acquire new skills or learn to deal with specific ...
Healio

Mortality reduced with intubation before hospitalization in patients with major trauma

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...
Analytics Insight

Machine Learning in Marketing Analytics: How it Improves ROI

Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...
PNAS

Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets

In a recent paper, Godara (1) investigated the computational cognitive mechanisms underlying reinforcement learning in two-armed Bernoulli bandit tasks (TABB). The article makes two claims. The first ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks

Abstract: This paper introduces a deep reinforcement learning-based block coordinate descent (DRL-based BCD) algorithm to address the nonconvex weighted sum-rate maximization (WSRM) problem with a ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

Intelligent detection of turbulence dissipation rates from radar wind profiler by Machine Learning Algorithms

The accurate estimation of atmospheric turbulence dissipation rate (ε) is crucial for better characterizing the atmospheric physical processes and understanding the boundary layer structure.