Jun 30, 2021

6 Posts

Magnifying glass over the words Unclear, Technical and Feasibility
Jun 30, 2021

The Batch: Amazon's Grab-And-Go Grocery, The Trouble With Ethical AI, Airlines Optimized, Few-Shot Learning

Last week, I mentioned that one difference between traditional software and AI products is the problem of unclear technical feasibility. In short, it can be hard to tell whether it’s practical to build a particular AI system.
Animation of thousands of flights over the globe
Jun 30, 2021

Flight Paths Optimized: How one airline uses AI to plan its flights.

An AI system is helping aircraft avoid bad weather, restricted airspace, and clogged runways. Alaska Airlines will route all its flights using a system from Airspace Intelligence called Flyways.
Animated neural networks metaphorically AI taking over a group of people
Jun 30, 2021

Is Ethical AI an Oxymoron?: Survey finds tech pros are pessimistic about ethical AI.

Many people both outside and inside the tech industry believe that AI will serve mostly to boost profits and monitor people — without regard for negative consequences.
Woman at an Amazon Go using Just Walk Out technology
Jun 30, 2021

No Cashier? No Problem: Amazon supermarkets go cashier-less thanks to AI.

Shoppers at Amazon’s newest grocery store can skip the checkout line. Amazon opened its first full-scale supermarket that monitors which items customers place in their cart and charges them automatically when they leave. It calls the system Just Walk Out.
Few-shot Learning with a Universal Template (FLUTE)
Jun 30, 2021

Pattern for Efficient Learning: A training method for few-shot learning in computer vision.

Getting high accuracy out of a classifier trained on a small number of examples is tricky. You might train the model on several large-scale datasets prior to few-shot training, but what if the few-shot dataset includes novel classes? A new method performs well even in that case.
Magnifying glass over the words Unclear, Technical and Feasibility
Jun 30, 2021

Developing AI Products Part 2: How To Assess Technical Feasibility

Last week, I mentioned that one difference between traditional software and AI products is the problem of unclear technical feasibility. In short, it can be hard to tell whether it’s practical to build a particular AI system.

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