Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
MLW Preview Video: Ayush Patel, Co-Founder at Twelvefold
 In anticipation of his upcoming presentation at Predictive Analytics...
MLW Preview Video: Sarah Kalicin, Data Scientist at Intel Corporation
 In anticipation of her upcoming keynote presentation at Predictive...
MLW Preview Video: Praneet Dutta, Senior Research Engineer at DeepMind
 In anticipation of his upcoming presentation at Deep Learning...
MLW Preview Video: Dean Abbott, President at Abbott Analytics
 In anticipation of his upcoming pre-conference workshop and presentations...

Industry News

Introducing Speech-to-Text, Text-to-Speech, and More for 1,100+ Languages

 Originally published in Meta AI, May 22, 2023. Equipping machines with the ability to recognize and produce speech can make information accessible to many more people, including those who rely entirely on voice to access information. However, producing good-quality machine learning models for these tasks requires large amounts of labeled data — in this case,

Bloomberg Plans to Integrate GPT-Style A.I. Into Its Terminal

 Originally published in CNBC, April 13, 2023.  Bloomberg LP has developed an AI model using the same underlying technology as OpenAI’s GPT, and plans to integrate it into features delivered through its terminal software, a company official...

JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals

 Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at...

What Is ChatGPT Doing … and Why Does It Work?

 Originally published in Stephen Wolfram, Feb 14, 2023. It’s Just Adding One Word at a Time That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it?...

We Must Perfect Predictive Models for Generative AI to Deliver on the AI Revolution

 Originally published in VentureBeat, April 30, 2023. Throughout 2022, generative AI captured the public’s imagination. With the release of Stable Diffusion, Dall-E2, and ChatGPT-3, people could engage with AI first-hand, watching with awe as seemingly intelligent systems created art, composed songs,...

Building Airbnb Categories with ML & Human in the Loop

 Originally published in Medium.com/Airbnb Tech Blog, March 22, 2023. Airbnb 2022 release introduced Categories, a browse focused product that allows the user to seek inspiration by browsing collections of homes revolving around a common theme, such as Lakefront, Countryside,...

The Science of Price Experiments in the Amazon Store

 Originally published in Amazon Science, April 14, 2023.   The requirement that at any given time, all customers see the same prices for the same products necessitates innovation in the design of A/B experiments. The prices of products...

A New Approach to Computation Reimagines Artificial Intelligence

 Originally published in QuantaMagazine, April 13, 2023. Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are...

The Complex Math of Counterfactuals Could Help Spotify Pick Your Next Favorite Song

 Originally published in MIT Technology Review, April 4, 2023. A new kind of machine-learning model built by a team of researchers at the music-streaming firm Spotify captures for the first time the complex math behind counterfactual analysis,...

Deep Agency Shows the Perils of Applying AI to the Fashion Industry

 Originally published in TechCrunch, March 27, 2023. Earlier this month, Danny Postma, the founder of Headlime, an AI-powered marketing copy startup that was recently acquired by Jasper, announced Deep Agency, a platform he describes as an “AI photo studio...

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