Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

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

Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

Expected to reach nearly 1,800 retail units in December and approach 10% local market share. Zhengzhou Superstore Performance -- Expected to achieve approximately 900 retail units in December with ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...