Weekly Top 10 Automation Articles

1. A.I. Shows Promise Assisting Physicians

Each year, millions of Americans walk out of a doctor’s office with a misdiagnosis. Physicians try to be systematic when identifying illness and disease, but bias creeps in. Alternatives are overlooked. Now a group of researchers in the United States and China has tested a potential remedy for all-too-human frailties: artificial intelligence.

Author: Cade Metz

Read More On: The New York Times


2. AR Will Spark The Next Big Tech Platform—Call It Mirrorworld

THE MIRRORWORLD DOESN’T yet fully exist, but it is coming. Someday soon, every place and thing in the real world—every street, lamppost, building, and room—will have its full-size digital twin in the mirrorworld. For now, only tiny patches of the mirrorworld are visible through AR headsets. Piece by piece, these virtual fragments are being stitched together to form a shared, persistent place that will parallel the real world.

Author: Kevin Kelly

Read more on: Wired

3. Affinity raises $26.5 Million To Manage Relationships With Machine Learning

Relationships are a tricky thing — and particularly fraught in the enterprise world, where the right connection or second-degree contact can make the difference in a high-stakes deal. That’s why almost five years ago, Stanford grads Ray Zhou and Shubham Goel cofounded Affinity, a San Francisco startup developing what they describe as a “relationship intelligence” platform.

Author: Kyle Wiggers

Read More On: VentureBeat

4. Bill Gates-Backed Vicarious Surgical Adds a Virtual Reality Twist To Robots In The Operating Room

In an operating room in rural Idaho, doctors prep a patient for surgery. They make a tiny, thumb-sized incision into the patient and insert a small robot while across the country a surgeon puts on a virtual reality headset, grabs their controllers and prepares to operate. While this scene may seem like science fiction now, a Charlestown, Mass.-based startup called Vicarious Surgical is developing the technology to make that vision a reality.

Author: Jonathan Shieber

Read More On: Tech Crunch

5. Artificial Intelligence, Deepfakes, And The Uncertain Future of Truth

Deepfakes are videos that have been constructed to make a person appear to say or do something that they never said or did. With artificial intelligence-based methods for creating deepfakes becoming increasingly sophisticated and accessible, deepfakes are raising a set of challenging policy, technology, and legal issues.

Nonresident Senior Fellow - Governance Studies, Center for Technology Innovation

Deepfakes can be used in ways that are highly disturbing. Candidates in a political campaign can be targeted by manipulated videos in which they appear to say things that could harm their chances for election.

Author: John Villasenor

Read More On: Brooking

6. AAAS: Machine Learning 'Causing Science Crisis'

Dr Genevera Allen from Rice University in Houston said that the increased use of such systems was contributing to a “crisis in science”.

She warned scientists that if they didn’t improve their techniques they would be wasting both time and money. Her research was presented at the American Association for the Advancement of Science in Washington.

Author: Pallab Ghosh

Read More On: BBC

7. YouTube's Related Video Algorithm Helpful To Predators

YouTube’s Related video algorithm has been accused of some pretty heinous things in recent years -- censorship, conspiracy theory-mongering, and far-right radicalization to list a few -- but none have been as grave as the latest charge: that of helping pedophiles locate and share borderline soft-core porn-like content.

Related videos on YouTube should be for cute animal compilations or upcoming music in an Autoplay list. What the Related video algorithm should not be doing is exposing preteens to predators.

Author: Fruzsina Eordogh

Read More On: Forbes

8. The Real Reason Tech Struggles With Algorithmic Bias

ARE MACHINES RACIST? Are algorithms and artificial intelligence inherently prejudiced? Do Facebook, Google, and Twitter have political biases? Those answers are complicated.

But if the question is whether the tech industry doing enough to address these biases, the straightforward response is no.

Author: Yael Eisenstat
Read More On: Wired

9. This Is Why AI Has Yet To Reshape Most Businesses

The art of making perfumes and colognes hasn’t changed much since the 1880s, when synthetic ingredients began to be used. Expert fragrance creators tinker with combinations of chemicals in hopes of producing compelling new scents. So Achim Daub, an executive at one of the world’s biggest makers of fragrances, Symrise, wondered what would happen if he injected artificial intelligence into the process. Would a machine suggest appealing formulas that a human might not think to try?

Author: Brian Bergstein

Read More On: MIT Technology Review

10. How Elite Investors Use Artificial Intelligence And Machine Learning To Gain An Edge

Artificial intelligence and machine learning might sound like the stuff of sci-fi movies. But hedge funds, major banks and private equity firms are already deploying next-generation technologies to gain an edge.

Citigroup uses machine learning to make portfolio recommendations to clients. High-frequency trading firms rely on machine learning tools to rapidly read and react to financial markets. And quant shops like PanAgora Asset Management have developed complex algorithms to test sophisticated investment ideas.

Author: Matt Egan

Read More On: CNN

Yusra Hamid