The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is used for advanced Parkinson’s disease treatment to improve the quality of life of patients by alleviating motor symptoms, as well as ...
In March, a paper in the Journal of the American Chemical Society sparked a heated Twitter debate on the value of machine learning for predicting optimal reaction pathways in synthetic chemistry. The ...
Demand-responsive transit, transport services that adjust routes and schedules dynamically according to real-time passenger requests, is a rising pillar of modern mobility systems. Enabled by mobile ...
PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Algorithms are only as good as the quality of data they’re being fed. This is ...
“By using AI-driven maintenance algorithms, we can enhance security, improve efficiency, and optimize performance in ways that were previously unimaginable,” says Venkata Bhardwaj Komaragiri. “The ...
Filmfare on MSN
Rajkummar Rao Calls for a Return to Conviction-driven Storytelling: "We’ve Become Too Data-based"
Rajkummar Rao urges filmmakers to trust instinct over algorithms.
ATRenew is a tech platform designed to give a second life to electronic devices through large-scale recycling and ...
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