Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
IEEE

An Equivariant Machine Learning Decoder for 3D Toric Codes

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...
techxplore

No-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
IEEE

A Translation Method from 64-bit ARM Machine Code to LLVM IR for Binary-Level Optimization

Abstract: Today, 64-bit ARM processors are used in a wide range of devices such as mobile and IoT devices. To improve the execution speed of application programs on such devices with limited computing ...