Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...

Left-hand

Walmart is Giving Up On Shelf-scanning Robots in Favor of Humans

 Originally published in The Verge, Nov 3, 2020. The retail giant has ended a contract with Bossa Nova Robotics. Retail robots that can scan shelves and update inventory have been one of the most visible faces of automation in recent years, but the success of such machines is far from guaranteed. As first reported by

AI Recognizes COVID-19 in the Sound of a Cough

 Originally published in IEEE Spectrum, Nov 4, 2020. Based on a cellphone-recorded cough, machine learning models accurately detect coronavirus even in people with no symptoms. Again and again, experts have pleaded that we need more and faster...

AI Camera Operator Repeatedly Confuses Bald Head for Soccer Ball During Live Stream

 Originally published in The Verge, Nov 20, 2020. AI researchers sometimes refer to machine learning technology as “brittle.” By this, they mean that artificial intelligence lacks a human’s understanding of real world complexities, with the end result...

Switchback Tests and Randomized Experimentation Under Network Effects at DoorDash

 Originally published in DoorDash Engineering Feb 13, 2018. To A/B or not to A/B, that is the question Overview On the Dispatch team at DoorDash, we use simulation, empirical observation, and experimentation to make progress towards our...

What Twitter Learned From The Recsys 2020 Challenge

 Originally published in Towards Data Science on Oct 26, 2020. This year, Twitter sponsored the RecSys 2020 Challenge, providing a large dataset of user engagements. In this post, we describe the challenge and the insights we had...

Split-Second ‘Phantom’ Images Can Fool Tesla’s Autopilot

 Originally posted to Wired.com, Oct 11, 2020. Researchers found they could stop a Tesla by flashing a few frames of a stop sign for less than half a second on an internet-connected billboard. Safety concerns over automated...

Artificial Intelligence Model Detects Asymptomatic Covid-19 Infections Through Cellphone-Recorded Coughs

 Originally published in MIT News, Oct 29, 2020. Results might provide a convenient screening tool for people who may not suspect they are infected. Asymptomatic people who are infected with Covid-19 exhibit, by definition, no discernible physical...

A VR Film/Game with AI Characters Can Be Different Every Time You Watch or Play

 Originally posted in MIT Techonology Review, Oct 2, 2020. Agence is neither a movie nor a game, which has frustrated some critics, but it gives a taste of what the future of AI filmmaking could be. The...

AI Can Help Patients—but Only If Doctors Understand It

 Originally published in Wired.com, October 2, 2020. Algorithms can help diagnose a growing range of health problems, but humans need to be trained to listen. Nurse Dina Sarro didn’t know much about artificial intelligence when Duke University...

The Computational Limits of Deep Learning Are Closer Than You Think

 Originally posted to DiscoverMagazine, July 24, 2020. Deep learning eats so much power that even small advances will be unfeasible give the massive environmental damage they will wreak, say computer scientists. Deep in the bowels of the...

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