Machine Learning Times
EXCLUSIVE HIGHLIGHTS
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...
How To Overcome Predictive AI’s Everyday Failure
  Originally published in Forbes Executives know the importance of predictive...
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...

Author Archive

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 a record-breaking meet for the Australian team at the Olympic Games. Individual swims would account for seven 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...

Researchers: Instagram ‘Bullied’ Us Into Halting Algorithmic Research

 Originally published in Gizmodo, Aug 13, 2021. For the second week in a row, Facebook killed a project meant to shed light on its practices. A Berlin-based nonprofit studying the ways in which Instagram’s algorithm presents content...

“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....

Getting the Green Light for a Machine Learning Project

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Originally published by SAS Blogs How do you internally sell a...

How AI Will Help Keep Time at the Tokyo Olympics

 Originally published in Wired, July 24, 2021. Omega, the official timekeeper of the Games, is now using computer vision and motion sensors for events like swimming, gymnastics, and beach volleyball. Timing of Olympic races has not always...

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...

Elon Musk Just Now Realizing That Self-Driving Cars are a ‘Hard Problem’

 Originally published in The Verge, July 5, 2021: Tesla CEO Elon Musk is finally admitting that he underestimated how difficult it is to develop a safe and reliable self-driving car. To which the entire engineering community rose...

Page 23 of 72 1 18 19 20 21 22 23 24 25 26 27 28 72