Articles Tagged with ''deep learning (DL)''

In March 2023, after a GPT model passed a biology exam, Bill Gates noted on his blog that AI could save lives and address climate change. If AI can tackle such significant challenges, it can also help with issues faced by manufacturers, metrologists, and quality control professionals. This article will examine the challenges metrologists encounter and highlight potential AI-driven solutions in the metrology value chain.

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.

Deep learning, a subset of machine learning, aims to mimic the learning process of the human brain. Learn how it improves through repetition and requires larger data sets and longer processing times to achieve reliable accuracy and sophistication.

Before discussing the trends, let’s lay some groundwork by discussing the market drivers for machine vision that ultimately power the trends.

Progress in machine vision processing is charted in major developments that prove significant staying power.

A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.

Machine vision lighting is a broad topic but a short article can be useful because some core concepts are not widely known. We’ll start with three core statements.

We review the “state of the market” and discuss some established technologies that are maturing to provide value to more end users, as well as some “cutting-edge” technologies that may bear watching.