That’s the question that Sophia Chen (Wired) asks in her recent article (and answers in the affirmative) coming off the back of the recent controversial algorithm which can tell the sexual orientation of someone from a photo. She discusses various efforts to work towards this goal and how we can get there.
The controversy illuminates a problem in AI bigger than any single algorithm. More social scientists are using AI intending to solve society’s ills, but they don’t have clear ethical guidelines to prevent them from accidentally harming people, says ethicist Jake Metcalf of Data & Society.
Buckwalter said he also hopes the algorithmic tools providing this behavioral mirror will lead to more empathetic, understanding machines in the future. He developed the matching algorithm at eHarmony and is now chief technology officer at psyML. His work focuses on the quantitative analysis of personality traits and how a better understanding of human behavior can lead to more human technology.
The idea, according to Buckwalter, is to give people more insight about themselves so they can change their
behaviour. He suggested, for example, that people struggling with credit can learn to spot detrimental behaviors and triggers to improve.
Over the years many successful companies have been built on top of Salesforce including FinancialForce.com, Apttus and Veeva. The purpose of this fund is to coax a new generation of companies to build their own applications while taking advantage of the intelligence that Einstein APIs can give them.
“The goal of the Salesforce AI Fund is to accelerate the development of transformative AI solutions on Salesforce,” Matt Garratt, VP at Salesforce Ventures told TechCrunch. “There is an incredible opportunity for companies and entrepreneurs to create next-generation AI solutions and our goal is to fuel that
opportunity,” he added.
Intel CEO Brian Krzanich revealed that his company supplies processors and other hardware to Waymo, and that Intel would like to continue working with the former Google self-driving car project. The Intel components are used in Waymo’s Chrysler Pacifica Hybrid minivans, which recently replaced a fleet of small pod-like electric cars as Waymo’s frontline test vehicles. Intel is betting big on self-driving tech: they bought Israeli Mobileye this year for over $15B.
French oil company Total is in talks with tech giants Google and Microsoft to help develop bespoke artificial intelligence (AI) in the energy sector’s race to tap digital technologies.
Engineers at Total are currently working alongside top software developers to explore how complex algorithms could be applied to its work in oil and gas. Frederic Gimenez, the oil major’s chief information officer, said the “complete shift” from its traditional energy activities to investigating AI and machine learning has meant the company is working with different stakeholders to broaden its scope.
iZettle, which provides card transaction services from smartphones and tablets, is adding a little more money to its coffers, specifically to ramp up in emerging technologies like artificial intelligence. The company announced it has received €30 million funding from the European Investment Bank, the lending arm of the European Union.
“We’re proud to receive this stamp of approval from the EIB. It’s the type of offer you can’t refuse and it will allow us to further accelerate our growth and continue to level the playing field for small businesses, giving them access to tools to take on the big corporations,” said Jacob de Geer, CEO and co-founder of iZettle, in a statement.
3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject) as input, and must address a number of methodological challenges such as establishing dense correspondences across large facial poses.
In this work, the authors propose to address many of these limitations by training a Convolutional Neural Network (CNN) on an appropriate dataset consisting of 2D images and 3D facial models or scans. Their CNN works with just a single 2D facial image, works for arbitrary facial poses and expressions, and can be used to reconstruct the whole 3D facial geometry. You can try out the tool here.
This article aims to present a comprehensive look at the four leading eCommerce firms (Amazon, JD.com, Alibaba, and eBay) and their use of AI based on 2016 sales revenue, covering chatbots, smart logistics, recommendation engines, and more. Highly recommended.