Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...
One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Experts have a long history of torturing us with predictions about how technology will wipe us out, first our jobs and then just getting rid of us altogether because humans are a bother. The AI panic ...
A survey of over 1,000 enterprises conducted by S&P Global Market Intelligence in 2025 revealed that 42% of companies ...
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Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...
Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
There’s something undeniably romantic about classic cars. Maybe it’s the look, the sound, the smell, or the way they force ...
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