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Tech Xplore on MSN6d
New algorithm enables efficient machine learning with symmetric data structures
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Gaussian processes provide a new path toward quantum machine learning
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
The Architects' Journal7d
AI and architects: What we know so far
To mark the launch of our 2025 AI survey, the AJ takes a look back at our recent coverage of how AI tools are being used and ...
ExtremeTech on MSN12d
What Is ChatGPT and How Does It Work? OpenAI's Groundbreaking Chatbot, Explained
Before we dive in, here's the simple definition: ChatGPT is an artificial intelligence chatbot based on OpenAI's foundational ...
Tech Xplore on MSN5d
A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
Unite.AI6d
From AI to Organoids: How Growing Brain-like Structures are Advancing Machine Learning
Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very ...
JD Supra7d
From Abstract to Concrete: The Path Forward for Machine Learning Patents
While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...