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...

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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, with 530 billion parameters. It is the result of a research collaboration between Microsoft and NVIDIA to further

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...

A Tiny Tweak to Zomato’s Algorithm Led to Lost Delivery Riders, Stolen Bikes and Missed Wages

 Originally published in Rest of World, Oct 7, 2021 The Indian food delivery giant changed riders’ beats without warning, crashing their earnings and exposing some to crime. On September 30, around 60 delivery riders wearing the red...

Five Points for Anger, One for a ‘Like’: How Facebook’s Formula Fostered Rage and Misinformation

 Originally published in The Washington Post, Oct 26, 2021.   Facebook engineers gave extra value to emoji reactions, including ‘angry,’ pushing more emotional and provocative content into users’ news feeds. Five years ago, Facebook gave its users five...

The First Rule of Machine Learning: Start without Machine Learning

 Originally published in Eugeneyan. Applying machine learning effectively is tricky. You need data. You need a robust pipeline to support your data flows. And most of all, you need high-quality labels. As a result, most of the...

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...

Microsoft Predicts Weather for Individual Farms

 Originally published in IEEE Spectrum, Oct 4, 2021. Imagine you’re a farmer in the northern United States. It’s early spring, and nighttime temperatures are just starting to rise above freezing. You need to fertilize your newly-planted crops,...

Efficient and Targeted COVID-19 Border Testing Via Reinforcement Learning

 Originally published in Nature, Sept 22, 2021. Throughout the COVID-19 pandemic, countries relied on a variety of ad-hoc border control protocols to allow for non-essential travel while safeguarding public health: from quarantining all travellers to restricting entry...

Deep Learning’s Diminishing Returns

 Originally published in IEEE Spectrum, Sept 24, 2021. Deep Learning is now being used to translate between languages, predict how proteins fold, analyze medical scans, and play games as complex as Go, to name just a few applications of a technique...

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