The lack of gains in productivity from AI could stall adoption and burst the economic bubble. Is there a rational explanation ...

What is a predictive maintenance model and why did you build one? For decades after the global industrial boom, many industries relied on a simple rule: wait for a machine to break, then repair it.

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...

Countries around the world must protect their digital public infrastructure with a “Digital ID Safety Pack” to meet the minimum cybersecurity baseline, according to the latest report from The Alan ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

Following months of rumors, Valve finally announced the new Steam Machine earlier this week. And while I might question the company's decision to ship a system with only 8GB of VRAM in 2026, I believe ...

Artificial intelligence has reached a point where it can produce text that feels natural, confident, and convincing. But, behind the polished text, there is a growing problem that researchers now call ...

Abstract: A combinatorial optimization problem is a problem finding an optimal combination of variables that maximizes or minimizes an objective function while satisfying given constraints. Such ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

The trove of papers from pioneering computer scientist Alan Turing was discovered in a loft. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. A ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.