Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

For the lowest power consumption, MCUs are still preferred, and for high performance, MPUs are dominant. But that’s changing.

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

In an effort to create a unified alternative to address these bottlenecks, Octopus, a security and intelligence software ...

Public discourse has focused a lot on artificial intelligence in the past few years. And even though the technology is hyped ...