Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

Left-hand

Microsoft Deploys and Tests AI Models in Space Aboard the ISS

 Originally published in SiliconANGLE, April 4, 2022. Microsoft Corp. today revealed how it has been working with Hewlett Packard Enterprise Co. and the National Aeronautics and Space Administration to develop and test artificial intelligence models in orbit aboard the International Space Station. One of the first models they developed is designed to handle the chore

Deepfake Democracy: South Korean Candidate Goes Virtual for Votes

 Originally published in France 24, Feb 14, 2022.  In a crowded campaign office in Seoul, young, trendy staffers are using deepfake technology to try to achieve the near-impossible: make a middle-aged, establishment South Korean presidential candidate cool....

Deep Learning on Electronic Medical Records is Doomed to Fail

 Originally published in Moderndescartes.com, March 22, 2022. A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with...

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)...

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...

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