Tech Xplore

New memristor design uses built-in oxygen gradient to bring stability to reinforcement learning

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

Overlooked Signals That Make These 11%+ Yielding BDCs Stand Out From The Rest

Negative headlines and mounting pressures has created a sudden panic in the private credit industry, leaving massive ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

10 Hacks Every Nvidia GPU Gamer Should Know

Nvidia GPUs have a wealth of powerful features that can improve your gaming performance—and a few that you might be better ...
Medical Xpress

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 ...
IEEE

Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning

Abstract: This paper investigates the impact of client and server learning rates on training deep neural networks in Federated Learning (FL). While previous research has primarily focused on ...
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 ...
InfoQ

Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments

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 ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
Frontiers

Geological information-driven deep learning for lithology identification from well logs

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...
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 ...