Computer Sciences

How machine learning can be fair and accurate

Carnegie Mellon University researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions.

Computer Sciences

An AI system for training dogs

A team of researchers at Colorado State University has designed an AI system to train a dog to obey certain oral commands without human assistance. In their paper uploaded to the arXiv preprint server, the researchers describe ...

Robotics

Exoskeleton research demonstrates the importance of training

Exoskeleton devices work, researchers say, for a variety of uses such as speeding up our walking or making running easier. Yet they don't know what exactly makes exoskeletons effective. What is the benefit of customization, ...

Energy & Green Tech

AI's carbon footprint problem

For all the advances enabled by artificial intelligence, from speech recognition to self-driving cars, AI systems consume a lot of power and can generate high volumes of climate-changing carbon emissions.

Computer Sciences

Why slowing down London's subway could make it more efficient

(Phys.org)—An international team of researchers has found that because of interconnectedness between methods of transportation, slowing down trains in London's subway (The Underground, or tube) would actually increase efficiency. ...

Computer Sciences

SPFCNN-Miner: A new classifier to tackle class-unbalanced data

Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, ...

Computer Sciences

NVIDIA researchers raise the bar on image inpainting

For those not yet familiar with photo reconstruction tools, the title of this paper on arXiv might be totally puzzling: "Image Inpainting for Irregular Holes Using Partial Convolutions." The research, though, from a NVIDIA ...

Machine learning & AI

Smarter training of neural networks

These days, nearly all the artificial intelligence-based products in our lives rely on "deep neural networks" that automatically learn to process labeled data.

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Training

The term training refers to the acquisition of knowledge, skills, and competencies as a result of the teaching of vocational or practical skills and knowledge that relate to specific useful competencies. It forms the core of apprenticeships and provides the backbone of content at institutes of technology (also known as technical colleges or polytechnics). In addition to the basic training required for a trade, occupation or profession, observers of the labor-market[who?] recognize today[update] the need to continue training beyond initial qualifications: to maintain, upgrade and update skills throughout working life. People within many professions and occupations may refer to this sort of training as professional development.

Some commentators use a similar term for workplace learning to improve performance: training and development. One can generally categorize such training as on-the-job or off-the-job:

Training differs from exercise in that people may dabble in exercise as an occasional activity for fun. Training has specific goals of improving one's capability, capacity, and performance.

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This text uses material from Wikipedia, licensed under CC BY-SA