Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Video – How to Use AI Ethically from Natalia Modjeska of Omdia
 Event: Machine Learning Week 2021 Keynote: How to Use AI...
Video – Alexa On The Edge – A Case Study in Customer-Obsessed Research from Susanj of Amazon
 Event: Machine Learning Week 2021 Keynote: Alexa On The Edge...
Why AI Isn’t Going to Replace Data Scientists Any Time Soon
 Should data scientists consider AI a threat to their...
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving
  A note from Executive Editor Eric Siegel: Richard...

AI

Video – How to Use AI Ethically from Natalia Modjeska of Omdia

 Event: Machine Learning Week 2021 Keynote: How to Use AI Ethically Speaker: Natalia Modjeska, Research Director at Omdia (part of Informa Tech) Bio:  Natalia Modjeska is a Research Director at Omdia (part of Informa Tech) where she leads the team of analysts covering Artificial Intelligence and Intelligent Automation from processors and software to enterprise deployments. Natalia’s journey into

Minority Voices ‘Filtered’ Out of Google Natural Language Processing Models

 Originally published in United AI, Sept 24, 2021. According to new research, one of the largest Natural Language Processing (NLP) datasets available has been extensively ‘filtered’ to remove black and Hispanic authors, as well as material related to gay...

Microsoft Predicts Weather for Individual Farms

 Originally published in IEEE Spectrum, Oct 4, 2021. Imagine you’re a farmer in the northern United States. It’s early spring, and nighttime temperatures are just starting to rise above freezing. You need to fertilize your newly-planted crops,...

The Pandemic is Testing the Limits of Face Recognition

 Originally published in MIT Technology Review, Sept 28, 2021. Government use of face ID systems exploded during the pandemic—but tying it to critical services has left some people locked out at the moment they needed help the...

How Machine Learning Gave Australia An Edge in the Tokyo Pool

 Originally published in The Sydney Morning Herald, Aug 12, 2021. When Cate Campbell touched the wall ahead of American Abbey Weitzeil in the final leg of the women’s medley relay in Tokyo, it signified the end of...

Twitter AI Bias Contest Shows Beauty Filters Hoodwink the Algorithm

 Originally published in CNET.com, Aug 9, 2021. The service’s algorithm for cropping photos favors people with slimmer, younger faces and lighter skin. A researcher at Switzerland’s EPFL technical university won a $3,500 prize for determining that a...

100+ Open Audio and Video Datasets

 Originally posted to Twine.net, July 30, 2021. At Twine, we specialize in helping AI companies create high-quality custom audio and video AI datasets. During conversations with clients, we often get asked if there are any off-the-shelf audio and...

Training Self-Driving Cars for $1 An Hour

 Originally published in RestoftheWorld.org, Aug 3, 2021. To master the roads, autonomous vehicles need lots of data. Workers everywhere from Kenya to Venezuela are providing it. Every day for over four years, Ramses woke up in his...

“Doing AI” Is a Mistake that Detracts from Real Problem-Solving

  A note from Executive Editor Eric Siegel: Richard Heimann’s forthcoming book, Doing AI, takes on the problems with “AI” as a brand with a style so crisp, clear, and unique, it just pops off the page....

Why Schools Need to Abandon Facial Recognition, Not Double Down On It

 Originally published in Fast Company, July 23, 2021. With the loosening of COVID-19 restrictions and the end of summer quickly approaching, schools are preparing to welcome students back into their classrooms for in-person learning. With that transition...

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