Self-supervised learning is a machine learning approach that trains on unlabeled data, extending generalizability to real-world data. While it excels at identifying objects, a task called semantic ...

Typically, machine learning models have to work on large ... Labels can work with as few as ten images to learn to identify the object. Amazon has gotten flack from the ACLU and shareholders ...

Samir Mandal and Prof. Deepak Mishra (IIST), have identified the nature of thousands of new cosmic objects in X-ray wavelengths using machine learning techniques. Machine learning is a variant or ...

Today, at Google Cloud Next '17, the search giant unveiled a new API that uses machine learning to search within videos for nouns and verbs occurring therein. Finally, you'd be able to hunt down ...

Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are ...

MIT computer scientists have developed a system that learns to identify objects within an image ... and information that humans have the benefit of using, but that machine learning algorithms don’t ...

The researchers trained a machine-learning model to identify objects using raw camera image data. As they fine-tuned the finger fabrication process, the researchers ran into several obstacles.

Researchers have discovered that AI can successfully detect autism in patients just by looking at how they grasp objects.

Machine learning models typically start as blank slates that ... called “transfer learning,” which gives them some basic information about how to identify common objects, but not necessarily ...

Application of machine learning techniques to large astronomy data sets can discover thousands of cosmic objects of various classes. CREDIT Shivam Kumaran cientists of Tata Institute of ...