↳ ScienceDaily.com

Soft machines: Fast, low-voltage actuator for soft and wearable robotics

In the world of robotics, soft robots are the new kids on the block. The unique capabilities of these automata are to bend, deform, stretch, twist or squeeze in all the ways that conventional rigid robots cannot. Today, it is easy to envision a world in which humans and robots collaborate — in close proximity — in many realms. Emerging soft robots may help to ensure that this can be done safely, and in a way that syncs to human environments or even interfaces with humans themselves.
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↳ MachineLearningMastery.com

A Gentle Introduction to k-fold Cross-Validation

Cross-validation is a statistical method used to estimate the skill of machine learning models. It is commonly used in applied machine learning to compare and select a model for a given predictive modeling problem because it is easy to understand, easy to implement, and results in skill estimates that generally have a lower bias than other methods. In this tutorial, you will discover a gentle introduction to the k-fold cross-validation procedure for estimating the skill of machine learning models.
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↳ Sentient.ai

More Experiments are Better

The digital world runs on testing. Online retail managers revamp the look and feel of their website to encourage more sales. Online travel companies test the CTA buttons and their flight listings to guide their customers through the booking process. Financial services companies optimize their landing pages in order to increase the likelihood that a visitor will fill out their form and start the process of applying for a loan. Whatever the desired outcome–companies are testing each and every element and feature on their websites to optimize for the highest conversions.
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↳ MarketingAIinstitute.com

AI-Powered Chatbots: The Intersection of Your Product and Your Customer

It’s no secret that one of the cornerstones of business success is customer service. Listening to a customer, hearing their needs, and giving them the exact item they want—at the moment they need it—has always been a formula for success. Artificially intelligent chatbots are starting to take us in that direction. For several years, chatbots have been part of the landscape in ecosystems such as WeChat. They have a lot of users, which makes WeChat an ideal space to deploy AI chatbots and help them learn.
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↳ AiTrends.com

Yanny vs. Laurel: Sensory Illusions and AI Self-Driving Cars

By Lance Eliot, AI Trends Insider Are you a Yanny or a Laurel? Unless you’ve been living in a cave, you likely know about the recent craze over an audio clip that has created a social media frenzy and sparked a debate among both friends and foes alike. A short audio clip that was posted on Twitter had asked listeners to report whether they heard the word “Yanny” or the word “Laurel” when hearing the clip.
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↳ AiTrends.com

Alibaba and SenseTime Team to Make Hong Kong a Global AI Hub

Alibaba  is teaming up with SenseTime,  the world’s highest-valued AI startup, to launch a not-for-profit artificial intelligence lab in Hong Kong in a bid to make the city a global hub for artificial intelligence. Alibaba, which is SenseTime’s largest single investor thanks to a recent $600 million round at a valuation of $4.5 billion, is providing financing for the “HKAI Lab” through its Hong Kong entrepreneurship fund. SenseTime said it will contribute too, although the total amount of capital backing the initiative hasn’t been revealed.
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↳ AiTrends.com

Updating the Definition of ‘Data Scientist’ as Machine Learning Evolves

By Bernardo Lustosa, Partner, cofounder, and COO at ClearSale In the early days of machine learning, hiring good statisticians was the key challenge for AI projects. Now, machine learning has evolved from its early focus on statistics to more emphasis on computation. As the process of building algorithms has become simpler and the applications for AI technology have grown, human resources professionals in AI face a new challenge. Not only are data scientists in short supply, but what makes a successful data scientist has changed.
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