Business Wire

Rubber Ducky Labs Raises $1.5 Million to Build Operational Analytics for Recommender Systems

SAN FRANCISCO--(BUSINESS WIRE)--Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed investment round ...
InfoQ

Challenges and Solutions for Building Machine Learning Systems

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article explores that question through ...
Nature

Machine Learning Applications in High-Speed Electronic Systems

Recent advancements in machine learning have significantly impacted the domain of high-speed electronic systems. By leveraging state‐of‐the‐art algorithms and novel network architectures, researchers ...
Digital Journal

Spotlight author Yifei Wang influences machine learning field and drives industry discussions

With a groundbreaking approach that links academic research to industry practice, Wang’s original and innovative contributions have made a major impact. Opinions expressed by Digital Journal ...
EDN

4 Benefits of Machine Learning in Embedded Systems

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...
Drexel University

AI, Machine Learning & Robotics Research

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...
eWeek

Generative AI vs Machine Learning: Key Differences and Use Cases

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...