The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Evan Brown is a Stoel Rives LLP associate and a member of the construction and design group in the firm’s Seattle office.

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Public records clearly shows that for the past 25 years, CERN has repeatedly built inadequate FPGA-based Level-1 Triggers, necessitating multiple rebuilds. During the Higgs boson discovery ...

Learn essential strategies for preventing data loss in financial services. Protect sensitive client data from theft, ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...