Machine Learning And Cryptography: Revolutionizing Data Security
As we move further into the digital age, the partnership between ML and cryptography will be crucial in protecting our data ...
Impacts2d
Detecting Cyber Threats with Machine Learning: Innovations in Zero-Day Attack Recognition
Cybersecurity has always been a race between attackers and defenders, but traditional defense mechanisms struggle to keep up with the increasing complexity of cyber threats. In his latest research, ...
C&EN3d
Machine learning–enhanced spectroscopy detects toxins
Combining machine learning with surface-enhanced Raman scattering spectroscopy makes the analytical tool more powerful ...
A wealth of evidence: Machine learning approach leads to a 'living systematic map' of climate policy research
Research on climate policy is growing exponentially. Of the approximately 85,000 individual studies ever published on policy ...
dbta21d
Data Management Best Practices for Machine Learning
Machine learning is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. A recent study fielded amongst the subscribers of Database ...
Impacts2d
Embracing Change: Innovations in Managing Machine Learning Drift
In the evolving world of machine learning (ML), the phenomenon of data and concept drift presents both challenges and ...
Badger Herald4d
UW research partnership yields first-of-its-kind soil data algorithm
University of Wisconsin professor of soil science Jingyi Huang and data scientist Maria Oros worked over the summer on a new ...
Too Old to Operate11d
Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study.
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...