Discovery of anticancer peptides from natural and generated sequences using deep learning

Recent research has uncovered significant security vulnerabilities in open-source machine learning (ML) frameworks, putting sensitive data and operations at risk. As ML adoption grows across industries, so does the urgency of addressing these threats. The vulnerabilities, identified in a report by JFrog, reveal gaps in ML security compared to more established systems like DevOps and

From conferences to surveys We are living in an era of superlatives. Each year, month, week, new advancements in machine learning research are announced. The number of (ML) papers added to arXiv is growing equally fast. More than 11 000 papers have been added last October in the Computer Science Category. Photo by Liam Charmer

Launching a new tool OpalAI, Dan Brown has managed to combine his two passions.  When he’s not putting his Microsoft expertise to use, Adelaide-based MVP Daniel Brown has another passionate project – opal mining.  With his launch of a new tool OpalAI, he has managed to combine his two passions.  Twice per year, Brown’s other