What We're Reading: AI Issue #1

Being a company dedicated to bringing the world natural language understanding software, we obviously love all things AI. So we thought a recurring series spotlighting articles making waves in the world of AI would be a no-brainer.

Here’s what we’re reading this week:

1) Notes From Learning Common Sense 

by Oren Etzioni, CEO of the Allen Institute of AI

Oren’s talk, “Learning Common Sense,” was given during the day-long workshop, Architectures and Evaluation for Generality, Autonomy & Progress in AI (AEGAP). In it, he explores some of the work the Allen Institute is doing to drive common sense in AI.

“Creating a benchmark for common sense - Questions to be answered:

  • breadth: what topics are covered?

  • depth: what is the sophistication of knowledge?

  • language: should this benchmark factor out certain linguistic challenges?

  • vision: is visual/robotic common sense included

For example, how do you say when you open a door you need to take a few steps back to give door room to open? Should this be in the benchmark?”

2) What Your Boss Could Learn From Reading the Whole Company’s Emails

Employee emails contain valuable insights into company morale—and might even serve as an early-warning system for uncovering malfeasance.

“While text analytics has become common on Wall Street, it has not yet been widely used to assess the words written by employees at work.

Many firms are sensitive about intruding too much on privacy, though courts have held that employees have virtually no expectation of privacy at work, particularly if they’ve been given notice that their correspondence may be monitored. Yet as language analytics improves, companies may have a hard time resisting the urge to mine employee information.”

3) Scientists Hope AI Will Illuminate the Mystery of Dark Matter

Scientists hypothesized the existence of dark matter more than a century ago. And, even though it turned out the Milky Way’s bulge wasn’t the answer we were looking for today, we’re closer than ever to figuring out how to detect it.

“The Large Hadron Collider (LHC) produces an unfathomable one million gigabytes of data per second. Without deep learning networks to sort and sift through this data, the scientists may as well be searching for a needle in the universe’s biggest haystack.”

4) The Doctor’s Office Becomes Wearable

If you treated your car like you treat your body, you'd be calling AAA a lot. The annual checkup is akin to a car whose gauges only operate for an hour a year. But we're getting the tech we need to radically remake that 19th century concept. This article explores four medical applications for AI that are new to the market, or on the way soon.

"A groundbreaking study conducted at Mayo Clinic recently found the first evidence that voice may be an accurate indicator of whether a person has coronary artery disease.

Eighty-one tonal features of voice were measured after patients spoke to a recording app using technology from vocal biomarker company Beyond Verbal. Pending further confirmation, this could open the door to you monitoring your circulatory health by just talking."

We hope you found a nugget of wisdom or two in these articles, and feel free to let us know what you’re reading on Twitter @LuminosoInsight

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