The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

Yobi (YiB Inc.) is a venture capital funded-startup that has raised $2.37 million in funding. Investors in the company ...

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface waviness jointly shape nanofluid heat transfer. Using a combined numerical ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

The market presents opportunities in digital transformation, deep learning, real-time analytics, and AI-driven optimization Neural Network Software Market Neural Network Software Market Dublin, March ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...