Supercomputer simulations map spliceosome motions in a two-million-atom human cell model

A new study from the Italian Institute of Technology (IIT), in collaboration with Uppsala University (Sweden) and AstraZeneca, shows how computational chemistry and supercomputers can help scientists ...

Arlington startup ORAN Development raises $45M from Nvidia, Booz Allen to turn cell towers into mini data centers

An Arlington software startup has raised $45 million from major technology partners as it prepares to deploy a product that ...
Tech Xplore

Thousands of websites are accidentally broadcasting sensitive data, study finds

Researchers have discovered a major security leak hiding in plain sight on the internet that could expose the personal data ...

Powering the future: Navigating opportunities and challenges for data centers in the region

Despite tremendous demand and potential for significant regional economic opportunities, communities in which these centers ...
TidBITS

DarkSword Exploit Threatens iPhones Still Running iOS 18

Security researchers have discovered DarkSword, a sophisticated exploit chain targeting iOS 18.4 through 18.7.2. Unlike past spyware aimed at high-profile targets, DarkSword is being surreptitiously ...
WinBuzzer

Trivy Breached Twice in a Month via GitHub Actions

Attackers have hijacked 75 of 76 GitHub Actions tags for Aqua Security's Trivy scanner, distributing credential-stealing ...

ThreatDown Uncovers First Cyber Attack Abusing Deno JavaScript Runtime for Fileless Malware Delivery

ThreatDown, the corporate business unit of Malwarebytes, today published research documenting what researchers believe to be the first documented case of attackers abusing the Deno JavaScript runtime ...
IEEE

An Imbalanced Data Augmentation and Assessment Method for Industrial Process Fault Classification With Application in Air Compressors

Abstract: Imbalanced data samples can adversely affect the performance of industrial process fault diagnosis models. Recently, it has become a valued challenge to expand data samples and reasonably ...
IEEE

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry

Abstract: In complex process industries, multivariate time sequences are omnipresent, whose nonlinearities and dynamics present two major challenges for soft sensing of important quality variables.