Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

AI

AI Could Spot Wildfires Faster Than Humans

 Originally published in Scientific American, June 17, 2021. A prediction system undergoes testing as the U.S. West braces for another potentially devastating wildfire season. During his eight years as community alert and warning manager in Sonoma County, California, Sam Wallis has repeatedly watched wildfires roar through the cities and small towns he protects. Often with

Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize

 Originally published in Google AI Blog, Dec 7, 2021. Transformer models consistently obtain state-of-the-art results in computer vision tasks, including object detection and video classification. In contrast to standard convolutional approaches that process images pixel-by-pixel, the Vision Transformers (ViT) treat an image as a sequence...

Task-Oriented Conversational AI in Airbnb Customer Support

 How Airbnb is powering automated support to enhance the host and guest experience. Customer Support (CS) can make or break a guest’s travel experience. To support Airbnb’s community of guests and Hosts, we have been investing heavily...

A Behind-the-Scenes Look at How Postman’s Data Team Works

 Originally published in Entrepreneur’s Handbook, Oct 7, 2021 How Postman’s data team set up better onboarding, infrastructure, and processes while growing 4–5x in one year. Postman is no stranger to scale. What started out as a side project...

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model

 Originally published in Microsoft Research Blog, Oct 11, 2021 We are excited to introduce the DeepSpeed- and Megatron-powered Megatron-Turing Natural Language Generation model (MT-NLG), the largest and the most powerful monolithic transformer language model trained to date,...

Tesla Officially Launches Its Insurance Using ‘Real-Time Driving Behavior,’ Starting in Texas

 Originally published in Electrek, Oct 14, 2021 Tesla has now officially launched its insurance product using “real-time driving behavior.” The product is only available in Texas for now. The automaker has already introduced its own insurance product...

The Pentagon Inches Toward Letting AI Control Weapons

 Originally published in Wired, Oct 5, 2021 Drills involving swarms of drones raise questions about whether machines could outperform a human operator in complex scenarios. Last August, several dozen military drones and tanklike robots took to the skies and roads 40 miles...

Video – Identifying Program Effectiveness for Survivors of Human Trafficking from Muneeb Alam of QuantumBlack

 Event: Machine Learning Week 2021 Keynote: Identifying Program Effectiveness for Survivors of Human Trafficking and Slavery Speaker: Muneeb Alam, Specialist, Data Science, QuantumBlack, a McKinsey company Bio:  Muneeb Alam is a data science specialist at QuantumBlack, a McKinsey Company. He...

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...

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...

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