AI breakthroughs continue to be infused in developer tooling, with a new machine learning framework for the upcoming iOS 12 being the latest example.

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Companies offering cybersecurity products are using the terms "artificial intelligence" and "machine learning" in many different ways. But the

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Artificial Intelligence (AI) in Education Market Size By End-Use, By Application, By Technology, By Deployment, By Model, Industry Analysis Report, Regional Outlook (U.S., Canada, UK, Germany, France, Italy, Spain, Australia, China, India, Japan, South Korea, Brazil, Mexico, GCC, South Africa), Growth Potential, Competitive Market Share & Forecasts to 2024

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Business support functions such as HR have been slower at applying smart robots and artificial intelligence tools, than other parts of business and industry. Here we look at how this is going to change and how robotic process automation and machine learning are starting to make an impact.

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Artificial intelligence is a large field with a multitude of techniques based of different ideas. Deep learning is just one of them, but it is the one with the most success in recognizing image content in recent years.

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There is an epidemic in machine learning due largely to a few core misconceptions. As CEO, your team could be giving you a “false confidence” that they have it under control.

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Machine learning is the secret sauce that allows us to use computers to automate tasks in powerful new ways. However, there are a lot of steps that must go right for the ML to work: ideas must be mined from huge amounts of data, clean sample data must be provided to train models, and models must be managed and

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Improve machine learning models by avoiding bias, refining training data, and seeing what’s missing.

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Machine learning and AI are providing new options for business; here's what some leading organisations make of it.

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While Arm slowly unveils its machine-learning hardware architecture, Nvidia enters the fray with its open-source NVDLA hardware.

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