Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...
At the AI Summit and Awards 2026, Vicky Nanda, COO of Niramai, delivered an in-depth session on how artificial intelligence ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
The School of Civil Engineering at the University of Sydney is seeking a Postdoctoral Research Associate to join Associate Professor Pierre Rognon's research team, focusing on the mechanics of ...
In this special episode, we welcome Zack Kass, one of the world’s leading artificial intelligence futurists, to discuss hype, ...
Mukherjee believes the health industry saw a market fit in preaching an approach, but that must change for a holistic one.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results