Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...

Industry News

The Four Most Common Fallacies About AI

 Originally published in VentureBeat, May 8, 2021. The history of artificial intelligence has been marked by repeated cycles of extreme optimism and promise followed by disillusionment and disappointment. Today’s AI systems can perform complicated tasks in a wide range of areas, such as mathematics, games, and photorealistic image generation. But some of the early goals of AI like housekeeper robots

How Image Search Works at Dropbox

 Originally posted in Dropbox.tech, May 11, 2021 Photos are among the most common types of files in Dropbox, but searching for them by filename is even less productive than it is for text-based files.  When you’re looking...

Inside Netflix’s Quest to End Scrolling – How the Company is Working to Solve One of its Biggest Threats: Decision Fatigue.

 Originally published in Vulture, April 28, 2021.  Ten years ago, Netflix got the idea that its app should work more like regular TV. This was early on in its transition from DVD delivery to streaming on demand,...

Clustergam: Visualisation of Cluster Analysis

 Originally published in MARTIN FLEISCHMANN, April 27, 2021. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters....

Aiming for truth, fairness, and equity in your company’s use of AI

 Originally published in FTC, April 19, 2021: Advances in artificial intelligence (AI) technology promise to revolutionize our approach to medicine, finance, business operations, media, and more. But research has highlighted how apparently “neutral” technology can produce troubling...

Moving Beyond “Algorithmic Bias is a Data Problem”

 Originally published in Patterns, April 9, 2021. A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the...

Can Artificial Intelligence Combat Wildfires? Sonoma County Tests New Technology

 Originally published in Los Angeles Times, March 19, 2021. Sonoma County is adding artificial intelligence to its wildfire-fighting arsenal. The county has entered into an agreement with the South Korean firm Alchera to outfit its network of...

Data Science for Marketing Optimization – Case Studies from Airbnb, Lyft, DoorDash

 Originally published in Blogboard Journal, Jan 7, 2021. In this article we’ll look at several case studies of data science being used to optimize marketing efforts at companies like Lyft, Airbnb, Netflix, Doordash, Wolt, Rovio Entertainment. In...

Algorithm Helps Artificial Intelligence Systems Dodge “Adversarial” Inputs

 Originally published in Massachusetts Institute of Technology, March 8, 2021.  Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect. In a perfect world, what you see is...

He Got Facebook Hooked on AI. Now He Can’t Fix Its Misinformation Addiction

 Originally published in MIT Technology Review, March 11, 2021. The company’s AI algorithms gave it an insatiable habit for lies and hate speech. Now the man who built them can’t fix the problem. Joaquin Quiñonero Candela, a...

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