A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Tech Xplore on MSN
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 ...
This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.
In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...
Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...
Interesting Engineering on MSN
Machine-learning infused strike drones with lethal precision firepower set to be delivered to US Marine Corps
A California-based company is set to deliver more than 600 machine-learning infused strike drones ...
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