Vertiv™ Next Predict managed service leverages AI-based technology to deliver predictive intelligence across power, cooling, and IT systems. As AI workloads reshape the data center landscape, ...

Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced the launch of Vertiv™ Next Predict, ...

With 87% of companies already tracking employee wellness data and AI layoffs creating desperate workers, this dystopian ...

Elucid today announced that, effective January 1, 2026, its Plaque-IQ(TM) coronary plaque analysis has received a new Category I Current Procedural Terminology (CPT(R)) designation, alongside ...

As more elected officials cry foul about the massive power outage in San Francisco that began on Saturday, the new CEO of PG&E took to social media Tuesday night to assure the community that the ...

Over 50% of frontend ASIC hardware engineering time is spent on debugging and root cause analysis, spent churning through millions of lines of code and terabytes of waveform data. Despite this, there ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

An analysis of gene variants in more than a million people diagnosed with neurodivergencies and mental health conditions – by far the largest study of its kind so far – has found that 14 conditions ...

Abstract: Root cause analysis (RCA) is a crucial technique in network systems for uncovering the abnormal nodes that lead to the network alarm flood. Within private cloud network systems, the calling ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Failure to pinpoint cause of breaches leaves many organizations wide open to further attacks. Resource shortages, firefight pressure, planning issues, and lack of post-incident follow-up to blame.