Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Large language model guides discovery of catalysts for clean energy tech

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...
Frontiers

AI-Driven Forensic Science: Decoding Complex Chemical and Biological Mixtures with Advanced Models

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

Tencent's Apache-licensed Hy3 takes on GLM-5.2 at half the size — and wins everywhere except coding

Tencent's Hy3 drops the license restrictions that blocked EU and U.K. deployments, cuts hallucination rates in half, and runs ...
Frontiers

GeoAI and Foundation Models for Ecological Remote Sensing and Sustainable Ecosystem Management

You will be redirected to our submission process. The accelerating pace of global environmental change driven by climate change, biodiversity loss, land degradation, and urbanization demands ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
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

An Optimization Method for Cavity Bandpass Filters Using a Transformer-Based Deep Neural Network Surrogate Model

Abstract: To overcome the inefficiency of conventional design methods that rely extensively on full-wave electromagnetic (EM) simulations and engineers’ experience, a new optimization method using a ...
IEEE

A Hybrid Deep Learning Framework Combining Convolutional, Transformer, and GRU Models with Mixture of Experts for RNA Sequence Analysis

Abstract: This work proposes a novel hybrid deep learning model that incorporates CNNs, Transformer models, and GRU layers, further extended with an MoE model, for advanced sequence analysis. The ...