Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

The ten ways machine learning is revolutionizing manufacturing include the following: Increasing production capacity up to 20% while lowering material consumption rates by 4%. Smart manufacturing ...

Machine learning is a race. Those companies that can put machine learning models into production, on a large scale, first, will gain a huge advantage over their competitors and billions in potential ...

Machine learning development startup Weights & Biases ... for users to track exactly when a model was moved from staging to production, W&B Models can help teams to maintain higher-quality models ...

Machine learning is a complex discipline but implementing ... Best of all, TensorFlow supports production prediction at scale, with the same models used for training. TensorFlow also has a broad ...

Machine learning algorithms need data, so the researchers designed a polymerization process that would quickly and efficiently generate experimental data to feed into the mathematical model.

TSUKUBA, Japan, - (NewMediaWire) - December 3, 2024 - Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibres.

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to ...

TensorFlow is well-known for its flexibility, and scalability, making it useful for both research and production needs. Pytorch is a free and popular open-source machine learning library built by ...

Now, a team of researchers led by Professor Mikiya Fujii of the Nara Institute of Science and Technology in Japan have used ...