Goto

Collaborating Authors

 Personal


ACM's 2020 General Election

Communications of the ACM

The ACM constitution provides that our Association holds a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--five Members-at-Large will be elected to serve on ACM Council. Please refer to the instructions posted at https://www.esc-vote.com/acm. To access the secure voting site, you will need to enter your email address (the email address associated with your ACM member record) and your unique PIN provided by Election Services Co. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 22 May 2020. Validation by the Tellers Committee will take place at 14:00 UTC on 26 May 2020. Elizabeth Churchill is a Director of User Experience at Google. Her field of study is Human Computer Interaction (HCI) and User Experience (UX), with a current focus on the design of effective designer and developer tools. Churchill has built research groups and led research in a number of well-known companies, including as Director of Human Computer Interaction at eBay Research Labs in San Jose, CA, as a Principal Research Scientist and Research Manager at Yahoo! in Santa Clara, CA, and as a Senior Scientist at the Palo Alto Research Center (PARC) and FXPAL, Fuji Xerox's Research lab in Silicon Valley. Working across a number of research areas, she has over 100 peer reviewed top-tier journal and conference publications in theoretical and applied psychology, cognitive science, human-computer interaction, mobile and ubiquitous computing, computer-mediated communication, and social media, more than 50 patents granted or pending, and 7 academic books. Her team produces research that impacts a large number of Google's products (by shaping Google's Flutter and Material Design), influencing the work of hundreds of thousands of designers and developers globally, and thus affecting the user experience of millions of end-users. She continues to guest lecture at universities and to mentor early stage career professionals and students.


Transfer Learning in Computer Vision a case Study

#artificialintelligence

The conclusion to the series on computer vision talks about the benefits of transfer learning and how anyone can train networks with reasonable accuracy. Usually, articles and tutorials on the web don't include methods and hacks to improve accuracy. The aim of this article is to help you get the most information from one source. Stick on till the end to build your own classifier. The ImageNet moment was remarkable in computer vision and deep learning, as it created opportunities for people to reuse the knowledge procured through several hours or days of training with high-end GPUs.


The Star Wars actor inside C-3PO almost didn't audition for the 'low-budget' film

#artificialintelligence

Anthony Daniels didn't want to meet a relatively unknown American movie director looking for someone to play a robot in a "low-budget, science fiction film." He just wasn't a fan of the genre, but his agent persisted, telling the aspiring actor "you never know what it could lead to." It's a funny anecdote when you consider that the director was George Lucas, the sci-fi flick was Star Wars: A New Hope and the part Daniels was auditioning for was a "nervous, persnickety and uptight" human-cyborg relations protocol droid named C-3PO. More than 40 years later, Daniels is the only actor to have appeared in all nine Star Wars movies -- from 1977's A New Hope to last year's The Rise of Skywalker, released on DVD last month. Now 74, he chronicles his journey, from classically trained actor and mime in London to one of the most beloved characters in the history of filmmaking (alongside his wing man, R2-D2) in a new memoir, I Am C-3PO: The Inside Story. The story about not wanting to audition is only one of the surprises that Daniels shares. Lucas actually tested 30 other actors to give voice to C-3PO after filming was complete, including actor Richard Dreyfuss, before being convinced by a voiceover pro that Daniel's take of the droid worked best. And he re-creates (in our video interview) some of his favorite lines, calling out the scene in The Rise of Skywalker when he's about to get his memory wiped. "I also felt that this was the last movie and I was saying goodbye and taking one last look at the fans around the world, the people who have been part of the whole thing," he says.


You've Cleaned Your House, Your Yard, and Your Garage. Up Next? Your Computer

TIME - Tech

If you're one of the millions of people largely stuck at home during the COVID-19 outbreak, you may be trying to pass the time by cleaning up your house or your yard. But it's also a good time to get your digital life in order, too. Now's the perfect time to crack open your computer, organize your files, digitize your old family photos, and more. Here are five ways to clean up your computer. Yes, you've got a ton of papers in your filing cabinet -- old tax returns, receipts, birth certificates, what have you -- but if it all goes up in smoke, that's the end of that.


Artificial intelligence: The thinking machine – Urgent Comms

#artificialintelligence

Artificial intelligence is a bit of a buzz term these days – but what do people really mean when they say AI? And why should local governments care? First of all, AI is extremely misunderstood. We aren't talking about HAL from "2001: A Space Odyssey," necessarily; we're talking about what Alan Turing speculated about "thinking machines" back in the 1950s. According to the Brookings Institute, AI is generally thought to refer to "machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention."


Artificial intelligence: The thinking machine IAM Network

#artificialintelligence

Artificial intelligence is a bit of a buzz term these days – but what do people really mean when they say AI? And why should local governments care? First of all, AI is extremely misunderstood. We aren't talking about HAL from "2001: A Space Odyssey," necessarily; we're talking about what Alan Turing speculated about "thinking machines" back in the 1950s. According to the Brookings Institute, AI is generally thought to refer to "machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention."


T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power: Kanaan, Michael: 9781948836944: Amazon.com: Books

#artificialintelligence

"Mike Kanaan is an influential new voice in the field of AI, and his thoughts paint an insightful perspective. "Kanaan's book makes us aware of the urgent need for international understanding and a formal agreement on AI. Without binding commitments, the future will pose threats, both military and social, that risk our very survival. AI may be a blessing, but it can also be the ultimate curse. The world must agree to draw a red line between the two, and make sure that no one crosses it." "Never have I read a book that did a better job of putting the challenges and prospects of artificial intelligence into context.


Advanced Technology And Its Integration With Our Way Of Life A Conversation With Stephen Wu And Keith Abney -- ITSPmagazine ITSPmagazine At the Intersection of Technology, Cybersecurity, and Society.

#artificialintelligence

I welcome you all to the Cyber Society of Today--a wondrous place where'what' is a possibility, 'how' is full of options, and'when' is a mystery. Despite what you may think, this is a real place. It is here, it is now, and most certainly you are in it. So, buckle up, be open-minded, and enjoy the ride--the doors are locked, and there is no place to hide. In this podcast, Sean and I are following up on an exciting story that we started during one of the panels we hosted at the RSA Conference in San Francisco a few weeks ago.


Certified Adversarial Robustness for Deep Reinforcement Learning

arXiv.org Machine Learning

Deep Neural Network-based systems are now the state-of-the-art in many robotics tasks, but their application in safety-critical domains remains dangerous without formal guarantees on network robustness. Small perturbations to sensor inputs (from noise or adversarial examples) are often enough to change network-based decisions, which was recently shown to cause an autonomous vehicle to swerve into another lane. In light of these dangers, numerous algorithms have been developed as defensive mechanisms from these adversarial inputs, some of which provide formal robustness guarantees or certificates. This work leverages research on certified adversarial robustness to develop an online certified defense for deep reinforcement learning algorithms. The proposed defense computes guaranteed lower bounds on state-action values during execution to identify and choose a robust action under a worst-case deviation in input space due to possible adversaries or noise. The approach is demonstrated on a Deep Q-Network policy and is shown to increase robustness to noise and adversaries in pedestrian collision avoidance scenarios and a classic control task. This work extends our previous paper with new performance guarantees, expanded results aggregated across more scenarios, an extension into scenarios with adversarial behavior, comparisons with a more computationally expensive method, and visualizations that provide intuition about the robustness algorithm.


Robert John obituary

The Guardian

My friend Robert John, professor of computer science at the University of Nottingham, who has died of liver cancer aged 64, pioneered the use of "type-2 fuzzy sets" in computational intelligence, to establish ways of reasoning algorithmically about linguistic concepts that involve uncertainty – something humans are good at, but computers are not. In the 1990s, while Rob (as he was known to family, though called Bob by work colleagues) was working at De Montfort University, he became involved in research into solving a community transport scheduling problem using fuzzy logic. Working from the foundations laid by Prof Lotfi Zadeh, Rob, through his PhD in 2000 and subsequent work with Prof Jerry Mendel and others, developed the mathematical techniques to use type-2 fuzzy sets. Two papers on type-2 and interval type-2 that he wrote with Mendel are among the most frequently cited and influential in the world on the topic. Rob was a founder member in 1995 of the Centre for Computational Intelligence at De Montfort and led its growth through the 2000s, established his reputation in the Institute of Electrical and Electronics Engineers' conferences and in journals on fuzzy logic, and was promoted over time to deputy dean.