machine learning
machine learning

Deep Learning vs. Machine Learning: Here’s The Simplified … – Digital Trends


Digital Trends

Deep Learning vs. Machine Learning: Here’s The Simplified …
Digital Trends
Deep learning vs. machine learning: what’s the difference between the two? We provide a simplified explanation of both AI-based technologies.

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How cybercriminals are attacking machine learning – BetaNews

BetaNewsHow cybercriminals are attacking machine learningBetaNewsMachine learning (ML) is getting a lot of attention these days. Search engines that autocomplete, sophisticated Uber transportation scheduling and recommendations from social sites and on…

Apple Reveals Machine Learning Systems Applied to Apple Music and Apple Watch Heartbeat Activity Patterns – Patently Apple


Patently Apple

Apple Reveals Machine Learning Systems Applied to Apple Music and Apple Watch Heartbeat Activity Patterns
Patently Apple
Apple goes on to explain that in prior art, machine learning that is used to enhance a particular user’s experience can be trained on the client device using the particular user’s data only. Training using only on-device data preserves privacy at the

Alt Data on the March with Machine Learning – Finextra (blog)

Finextra (blog)Alt Data on the March with Machine LearningFinextra (blog)The explosion of alternative data sources, such as satellite images, sentiment analysis, and geolocation data, is having a profound impact on the field of quantitative investing. …

Three Keys To A Successful Machine Learning Project – Forbes

ForbesThree Keys To A Successful Machine Learning ProjectForbesMachine learning, a field evolved from the study of pattern recognition and computational learning theory in artificial intelligence, has leaped ahead in the last decade. Major improvements…

Twitter is using machine learning to crop photos to the most … – The Verge


The Verge

Twitter is using machine learning to crop photos to the most …
The Verge
The lure of machine learning isn’t always about big new features; often, what it does best are small tweaks that subtly improve user experience. So it is with Twitter’s use of neural networks to automatically crop picture previews to their most
Twitter Created a Photo Tool That Knows Where You’ll Look FirstGizmodo
Speedy Neural Networks for Smart Auto-Cropping of Images – Twitter BlogTwitter Blog

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Alphabet launches Chronicle to turn machine learning on hackers – CNET


CNET

Alphabet launches Chronicle to turn machine learning on hackers
CNET
The company will continue to build tools that use machine learning to identify the signs of hackers in company systems and shorten the amount of time it takes to stop a breach. “The information that security teams need to identify and investigate
New Alphabet security firm uses big data and machine learning to protect businessesTechRepublic
Alphabet’s new ‘moonshot’ spinoff Chronicle uses machine learning for threat detectionSiliconANGLE News (blog)
Alphabet’s newest division was made to take down cybercriminalsThe Daily Dot
ComputerworldUK –ITProPortal –Digital Trends –Medium
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Management AI: Bias, Criminal Recidivism, And The Promise Of Machine Learning – Forbes


Forbes

Management AI: Bias, Criminal Recidivism, And The Promise Of Machine Learning
Forbes
We can’t forget that machine learning can have an even wider societal impact. Using training to understand and adjust for bias can increase system accuracy. Helping to better understand recidivism risk can help with sentencing and parole. — The author

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Using epigenetic signatures and machine learning to improve diagnosis – Science Daily

Using epigenetic signatures and machine learning to improve diagnosisScience DailyAlso, based on the degree of overlap between these signatures, the team concludes that a single machine learning classification tool built on the combined signatures of t…

Is “Murder by Machine Learning” the New “Death by PowerPoint”? – Harvard Business Review


Harvard Business Review

Is “Murder by Machine Learning” the New “Death by PowerPoint”?
Harvard Business Review
So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? They shouldn’t be so sure. Digital empowerment all too frequently leads to