New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
IEEE

Learning Error Refinement in Stochastic Gradient Descent-Based Latent Factor Analysis via Diversified PID Controllers

Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...
Game Rant

Mouse P.I. for Hire Friends in Deep Places Walkthrough - Poke Around Basin

William Parks is a Game Rant editor who specializes in puzzle games, indie releases, Nintendo titles, and completion-focused guide coverage. Since joining Game Rant in 2019, he has written and edited ...
techxplore

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 produce slow, stable conductance changes, enabling a reinforcement ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
IEEE

Tactical Planning Interception Enhancement using Expert Learning - Twin Delayed Deep Deterministic Policy Gradient

Abstract: The accurate interception of adversarial unmanned aerial vehicles (UAVs) is paramount for the protection of people and national facilities. Urban cities pose several challenges for target ...
GitHub

Gradient Similarity Surgery in Multi-task Deep Learning

Official implementation of the SAM-GS optimizer for multitask learning ArxIv Comparison of different MTL methods for 20000 steps.\ Top row: The loss trajectories of different MTL methods in the loss ...