Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
mccormick.northwestern.edu

MLDS 490: Advanced Algorithms

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Agnik International is Developing New Scalable Distributed Machine Learning Architecture for Large Language Models and Physical AI Applications

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
Tech Critter

The Role of Advanced Storage Technologies in AI and Machine Learning

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
manilatimes

Interview Kickstart's New Advanced Machine Learning and Agentic AI Program 2026 Helps Software Engineers Transition To Top ML and AI Roles

As organizations plan for 2026, a clear structural shift is emerging in how technical talent is valued and deployed. Amid this shift, Interview Kickstart has introduced an advanced machine learning ...
Linux Journal

Linux Meets AI: Top Machine Learning Frameworks You Need to Know

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...