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, ...
InfoQ

Real-Time Machine Learning: Architecture and Challenges

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 ...
Finextra

Machine Learning Tools Are Reducing Fraud in Real‑Time Payments

Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...
eWeek

Scientists Train Rat Neurons for Real-Time Computing

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
Business Wire

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities

SAN FRANCISCO--(BUSINESS WIRE)--HEAVY.AI, an innovator in advanced analytics, today announced general availability of HEAVY 7.0. The new product adds innovative machine learning capabilities, enabling ...
BizTech

3 Ways Machine Learning Is Changing Retail for the Better

Autumn is an associate editorial director and a contributor to BizTech Magazine. She covers trends and tech in retail, energy & utilities, financial services and nonprofit sectors. Customers want ...
News Medical

Diagnostics.ai launches fully-transparent machine learning platform for real-time PCR diagnostics

As the May 26th CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics – ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...