New research links heavy AI investment to job growth, not cuts. This challenges Australian firms to pair AI budgets with ...

Love it or loathe it, AI is reshaping engineering, and the winners will be those who learn to work alongside it.

Revelio study of 21,559 US firms found that companies spending heavily on generative AI tools grew their total ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

California cannot seek damages from 23andMe successor over 2023 data breach A U.S. bankruptcy judge on Friday said California cannot seek damages from the company formerly known as 23andMe arising ...

Data governance is a system to define who within an organization has authority and control over data assets, and how those data assets may be used. It also encompasses the people, processes, and ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

The Chart of the Week showcases a valuable metric: greenhouse gas emission intensities. The data reveals significant reductions in emission intensities within agricultural and industrial sectors.

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Modern businesses run on data. Companies regularly capture, store and analyze large amounts of quantitative and qualitative data on consumer behavior, to which they can apply predictive analytics to ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...