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In the News
Our weird behavior during the pandemic is screwing with AI models
Machine-learning models trained on normal behavior are showing cracks —forcing humans to step in to set them straight.
Research
Where’s my stuff? Developing AI with help from people who are blind or low vision to meet their needs
The data will be used for training and testing Artificial Intelligence (AI) models that personalize object recognition. In contrast to previous research efforts, we will request videos rather than images from users who are blind or low vision, as they provide a richer set of information.
Machine Learning seminar series
ECMWF will establish a new seminar series on machine learning starting with a live-streamed talk
Natural Language Processing Master’s Degree
Planning to Explore via Self-Supervised World Models
Applied use cases
This Was Supposed to Be the Year Driverless Cars Went Mainstream
“This is a difficult time for everyone,” said Bryan Salesky, the chief executive of the start-up Argo AI, which is backed by $1 billion from Ford and another $1 billion in promised funding from Volkswagen.
5 Reasons Why Artificial Intelligence Really Is Going To Change Our World
Artificial intelligence (AI) refers to the ability of machines to interpret data and act intelligently, meaning they can make decisions and carry out tasks based on the data at hand – rather like a human does.
Introducing the AI for Healthcare Nanodegree Program from Udacity
A simple search on Glassdoor shows approximately 15,000 job openings across roles like Healthcare Data Scientist, Healthcare Machine Learning Engineer, and Research Scientist (ML).
Market News
Watson's Creator Wants to Teach AI a New Trick: Common Sense
The sunny window has light and the plant needs to be healthy.” The question is part of an effort by Ferrucci’s artificial intelligence system to learn how the world works.
A Guide to Writing the NeurIPS Impact Statement
Carolyn Ashurst, Markus Anderljung, Carina Prunkl, Jan Leike, Yarin Gal, Toby Shevlane, Allan Dafoe From improved disease screening to authoritarian surveillance, ML advances will have positive and negative social impacts.
Ethics
Twitter adds former Google VP and A.I. guru Fei-Fei Li to board as it seeks to play catch up with Google and Facebook
The social media platform said that Li’s expertise in artificial intelligence (AI) will bring relevant perspectives to the board.
A call for a critical look at the metrics for success in the evaluation of AI
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS) is a community of experts collaborating on comprehensive, crowd-sourced, and transdisciplinary efforts that aim to contribute to better alignment between AI-enabled technology and society’s broader values.
The Turing appoints Dstl Ethics Fellow Mariarosaria Taddeo
Today (13 May 2020), we are pleased to announce that Dr Mariarosaria Taddeo has been appointed as Defence Science and Technology Laboratory (Dstl) Ethics Fellow at The Alan Turing Institute. This project will embrace expertise in digital ethics and military ethics to shed light on the many ethical...
Robotics
Robots Step into the COVID-19 Danger Zone
“The robots can work in areas there weren’t safe even before the pandemic,” Zac Bogart, CEO at Productive Robotics told Design News. 90% of what a robot does is move things around.” The New Stretch Version of OB7 The OB7 Stretch was designed so the robot can work on two machines, stretching to each...
Moxie is a Pixar-inspired robot backed by Toyota, Sony, Amazon, and Intel
And now, the latest gamble in this space is a $1,500 robot called Moxie designed by Fuseproject for the startup Embodied. Embodied was founded by Paolo Pirjanian, who sold a robotic vacuum company to iRobot, maker of the Roomba, before taking over as CTO.
Audience Choice HRI 2020 Demo
Demonstrating MoveAE: Modifying Affective Robot Movements Using Classifying Variational Autoencoders Michael Suguitan, Randy Gomez, Guy Hoffman Abstract: We developed a method for modifying emotive robot movements with a reduced dependency on domain knowledge by using neural networks.
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