The Next Web

How machine learning finds anomalies to catch financial cybercriminals

In the last few months, millions of dollars have been stolen from unemployment systems during this time of immense pressure due to coronavirus-related claims. A skilled ring of international ...
Devdiscourse

Energy-hungry cybersecurity models put climate goals at risk

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
National Academies of Sciences%2c Engineering%2c and Medicine

Robust Machine Learning Algorithms and Systems: Detection & Mitigation of Adversarial Attacks and Anomalies

The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine will convene a workshop on December 11-12, 2018 to provide the Intelligence Community (IC) ...
Nasdaq

Rigetti Computing Awarded Innovate UK Grant to Enhance Quantum Machine Learning Methods for Anti-Money Laundering Detection

Rigetti will be joined by HSBC, the Quantum Software Lab based at the University of Edinburgh, and the National Quantum Computing Centre to work to improve the performance of quantum algorithms for ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...