WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
American Institute of Physics

Finding the whale song in an acoustic data haystack

Automated three-stage analysis pipeline sifts out whale calls from terabytes of distributed acoustic sensing data.

How to tweak your online platform algorithms

An easy way to do this is to go to Settings & privacy > Content preferences, and then open the “Unfollow people and groups” ...
IEEE

Policy Gradient Algorithms for Age-of-Information Cost Minimization

Abstract: Recent developments in cyber-physical systems have increased the importance of maximizing the freshness of the information about the physical environment. However, optimizing the access ...
Reuters

What is so special about TikTok's algorithm?

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...
The Verge

Lawmakers want to let users sue over harmful social media algorithms

Posts from this topic will be added to your daily email digest and your homepage feed. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold ...
Reuters

Meta rejects French rights watchdog's ruling against algorithm

BRUSSELS, Nov 4 (Reuters) - Meta Platforms (META.O), opens new tab on Tuesday rejected a ruling by the French rights watchdog against its algorithm after allegations of discriminatory job ...
marktechpost

Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models

Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.
marktechpost

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models

Policy gradient methods have significantly advanced the reasoning capabilities of LLMs, particularly through RL. A key tool in stabilizing these methods is Kullback-Leibler (KL) regularization, which ...
IEEE

An Analytic Policy Gradient-Based Deep Reinforcement Learning Motion Cueing Algorithm for Driving Simulators

Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...