Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...

Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now, the ...

Ease of use, more big data than ever, and a proliferation of libraries and toolkits helped machine learning leap ahead for many Until recently, machine learning was an esoteric discipline, used only ...

Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...

CORPORATE BOARDS are besotted with artificial intelligence. Worldwide spending on AI is expected to rise from $38bn this year to $98bn by 2023, estimates IDC, a research firm. So far, though, only one ...

Machine learning (a subset of artificial intelligence) involves the advancement of computer algorithms that evolve and improve over time through learned experience. Because these machines learn ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

Bizerba has developed a new high-performance price labelling machine for the food industry. The GLM-Ievo weighs and labels at a speed up to 200 packages a minute. It has a camera checking system for ...