Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

Industry News

Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance

 Originally published in Google AI Blog, April 4, 2022. In recent years, large neural networks trained for language understanding and generation have achieved impressive results across a wide range of tasks. GPT-3 first showed that large language models (LLMs) can be used for few-shot learning and can achieve impressive results without large-scale task-specific data collection or model parameter updating. More

House-Flipping Algorithms Are Coming To Your Neighborhood

 Originally published in MIT Technology Review, April 13, 2022. For years, Michael Maxson spent more nights in hotels than his own bed, working on speaker systems for the titans of heavy rock on global tours. When Maxson...

Auto-Generated Summaries in Google Docs

 Originally published in Google AI Blog, March 23, 2022. For many of us, it can be challenging to keep up with the volume of documents that arrive in our inboxes every day: reports, reviews, briefs, policies and...

How AWS Uses Graph Neural Networks to Meet Customer Needs

 Originally published in Amazon Science, March 24, 2022. Information extraction, drug discovery, and software analysis are just a few applications of this versatile tool. Graphs are an information-rich way to represent data. A graph consists of nodes...

As Russia Plots Its Next Move, an AI Listens to the Chatter

 Originally published in Wired, April 4, 2022. With vast amounts of data becoming available to intelligence analysts, new tools will help them sift and interpret it all—but they will introduce new risks, too. A radio transmission between several...

How LinkedIn Personalized Performance for Millions of Members Using Tensorflow.js

 Originally published in the TensorFlow Blog, March 29, 2022. The Performance team at LinkedIn optimizes latency to load web and mobile pages. Faster sites improve customer engagement and eventually revenue to LinkedIn. This concept is well documented by...

Toward a Broad AI

 Originally published in Communications of the ACM, April 2022, Vol. 65 No. 4, Pages 56-57 Despite big successes in artificial intelligence (AI) and deep learning, there have been critical assessments made to current deep learning methods.8 Deep learning...

Russia Uses A.I. to Spread Disinformation About Invasion on Ukraine

 Originally published in Marca, Feb 3, 2022. For over a decade, Russia has been at the forefront of disinformation farms that spread all over the world. Their main goal is to destabilize countries and meddle with election processes...

Paradise Lost: Art Created by AI Is Ineligible for Copyright Protection

 Originally published in JDSupra, March 3, 2022. The US Copyright Office Review Board (“Board”) rejected a request to register a computer-generated image of a landscape for copyright protection, explaining that a work must be created by a...

Good News About the Carbon Footprint of Machine Learning Training

 Originally published in Google AI Blog, Feb 15, 2022. Machine learning (ML) has become prominent in information technology, which has led some to raise concerns about the associated rise in the costs of computation, primarily the carbon footprint,...

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