Artificial Intelligence

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How AI helps scientists fight COVID-19

Artificial intelligence is useful for sorting through massive amounts of data and identifying anomalies within that data. Given the swaths of data healthcare workers and scientists are sorting through due to the coronavirus pandemic,...

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Social engineering hacks weaken cybersecurity during the pandemic

Disinformation, malware, and an array of cyberattacks are rising as fast as case counts

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Learn PyTorch: The best free online courses and tutorials

Look no further than these excellent free resources to master the development of deep learning models using PyTorch

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The unwavering optimism of Tim O'Reilly

InfoWorld finds the Silicon Valley veteran in an at once optimistic, yet fiercely critical mood, as he talks about the opportunities artificial intelligence could afford society, while also addressing the risks of such technology if...

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How AI is reshaping healthcare during COVID-19 -- and beyond

Before the COVID-19 crisis, AI and machine learning technologies had just begun to move beyond the pilot stage at large healthcare companies -- but that's changing fast.

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AI is now a C-suite imperative

Survey from Appen finds that C-level involvement in AI initiatives has jumped significantly

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When not to use AIops for cloudops

The excitement around AIops means that it’s sometimes being deployed for the wrong reasons. Here are a few situations where AIops is contraindicated

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Data science during COVID-19: Some reassembly required

Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift

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Quantum AI is still years from enterprise prime time

Quantum computing’s greatest potential for widespread adoption during this decade is in artificial intelligence

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How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’

Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics

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How AIOps improves application monitoring

Devops and site reliability engineers are vital to keep applications functioning. AIOps boosts effectiveness another notch

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Career roadmap: Machine learning engineer

Machine learning is one of the most in-demand skills in today’s technology job market. Kyle Hamlin, principal machine learning engineer at Sailthru, discusses what it takes to travel on that career path.

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GPipe and PipeDream: Scaling AI training in every direction

New frameworks Google GPipe and Microsoft PipeDream join Uber Horovod in distributed training for deep learning

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Checking AI bias is a job for the humans

By pre-processing or post-processing data, or even setting datasets to expire, humans can step in to correct machine learning models

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Not all AIops tools are created equal

These tools can solve multicloud complexity issues, but they use very different approaches

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TensorFlow deepens its advantages in the AI modeling wars

Despite complaints about its complexity, TensorFlow supports every AI development, training, and deployment scenario you can imagine

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What is a chief automation officer? And do you need one?

Companies are creating a new C-suite position, chief automation officer, to oversee RPA, indicating how important automation has become in the age of digital transformation.

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AI companies plant the seeds for quantum machine learning

Quantum computing promises to accelerate analytics faster than the speed of light, but it still feels slightly unreal, in spite of the first signs of broad commercialization

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