This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. Effective management of the various moving pieces ...

Prior S&OP planning assumed supply was plentiful, and that forecasting could be done using historical demand. Thus, I realized that at least two special… Preparing supply chains for 2026 in 6 simple ...

QuantrolOx, a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company, which was co-founded by Oxford ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Scientists at University of California San Francisco (UCSF) have published in Cell a new study that demonstrates a brain-computer interface (BCI) powered by artificial intelligence (AI) machine ...

In a recent study published in Scientific Reports, researchers showed that a simple string-pulling task could help make a reliable assessment of shoulder mobility across animals and humans. Across ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...