WEEKLY TOP 10 AUTOMATION ARTICLES

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1. What Games Are Humans Still Better At Than AI?

Artificial intelligence (AI) systems’ rapid advances are continually crossing rows off the list of things humans do better than our computer compatriots. AI has bested us at board games like chess and Go, and set astronomically high scores in classic computer games like Ms. Pacman. More complex games form part of AI’s next frontier.

REPORTED BY: Marc prosser

READ MORE ON: SINGULARITYHUB

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2. Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It

We often assume machines are neutral, but they aren’t. Buolamwini research uncovered large gender and racial bias in AI systems sold by tech giants like IBM, Microsoft, and Amazon. Given the task of guessing the gender of a face, all companies performed substantially better on male faces than female faces. The companies I evaluated had error rates of no more than 1% for lighter-skinned men. For darker-skinned women, the errors soared to 35%. AI systems from leading companies have failed to correctly classify the faces of Oprah Winfrey, Michelle Obama, and Serena Williams. When technology denigrates even these iconic women, it is time to re-examine how these systems are built and who they truly serve.

REPORTED BY: Joy Buolamwini

READ MORE ON: TIME

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3. The Future of AI Will Be About Less Data, Not More

Companies considering how to invest in AI capabilities should first understand that over the coming five years applications and machines will become less artificial and more intelligent. They will rely less on bottom-up big data and more on top-down reasoning that more closely resembles the way humans approach problems and tasks. This general reasoning ability will enable AI to be more broadly applied than ever, creating opportunities for early adopters even in businesses and activities to which it previously seemed unsuited.

REPORTED BY: Chase Davenport

READ MORE ON: HBR.ORG

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4. A Self-Driving Dream Team Gets $530 Million From Sequoia, Amazon

The self-driving startup Aurora Innovation Inc. has raised $530 million from a group of investors led by Sequoia Capital, Silicon Valley’s storied venture capital firm, that includes financial backing from Amazon.com Inc. and T. Rowe Price Group Inc. This second round of funding for Aurora values the company at more than $2.5 billion.

REPORTED BY: Dana Hull

READ MORE ON: BLOOMBERG

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5. Peering Under The Hood Of Fake-News Detectors

New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories. The research also underscores how fake-news detectors should undergo more rigorous testing to be effective for real-world applications.

REPORTED BY: Rob Matheson 

READ MORE ON: MIT NEWS

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6. Artificial Intelligence Is Changing Banking and Wall Street. Here's What to Expect in 2019.

New technologies have enabled tremendous evolution in the finance industry, especially over the past decade. Thanks to machine learning and artificial intelligence (AI), investors and consumers are getting access to more innovative tools, new types of financial products and a new potential for growth.

REPORTED BY: Toby Nwazor

READ MORE ON: ENTREPRENEUR

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7. Artificial intelligence is learning not to be so literal

AI systems are generally good at responding to direct statements, like “Siri, tell me the weather” or “Alexa, play ‘Despacito’.” But machines can’t yet make small talk the way humans do, says Yejin Choi, a natural language processing researcher at the University of Washington in Seattle. When it comes to conversational nuances like tone and idioms, AI still struggles to understand humans’ intent.

REPORTED BY: Maria Temming

READ MORE ON: SCIENCE NEWS

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8. UI + AI: Combine User Experience Design With Machine Learning To Build Smarter Products

Machine intelligence doesn’t automatically lead to smarter user experience if product designers and machine learning experts don’t talk the same language.

The language and concepts of machine learning are far from intuitive. And user experience design requires an understanding of how people think and behave, simultaneously taking into account the irrationality of human behavior and the messiness of everyday life.

REPOERTED BY: Jarno M. Koponen

READ MORE ON: VENTUREBEAT

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9. The Deep Learning Framework Backed By Facebook Is Getting Industry's Attention

When it comes to deep learning frameworks, TensorFlow is one of the most preferred toolkits. However, one framework that is fast becoming the favorite of developers and data scientists is PyTorch.

PyTorch is an open source project from Facebook which is used extensively within the company. For a long time, Facebook developers used another homegrown framework called Caffe2, which was adopted by academia and researchers. Last year, Facebook announced that it is merging the efforts of developing Caffe2 and PyTorch to focus on creating a unified framework that is accessible to the community.

REPORTED BY: Janakiram MSV

READ MORE ON: FORBES

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10. Can This Technology Put An End To Bullying

Breaking up with your first love is hard to do, but at the age of 18, it was a particularly traumatic experience for Nikki Mattocks. Rather than the clean break she had hoped for, she found herself being bombarded with hateful messages on social media from her ex-boyfriend’s friends. One even urged her to kill herself.

REPORTED BY: Sarah Griffiths

READ MORE ON: BBC

Yusra Hamid