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Robot detects sarcastic tweets better than HUMANS

Daily Mail - Science & tech

An artificially intelligent robot that can understand sarcasm in social media posts better than humans has been developed by scientists. The algorithm can decipher the tone of tweets, and researchers say it could be used to tackle online abuse. By interpreting emoji used alongside a post's text, the robot can understand emotional subtext and identify if sarcasm is being used. A robot that can understand sarcasm in social media posts better than humans has been developed by scientists. By interpreting emoji used alongside a post's text, the AI can understand emotional subtext and identify if sarcasm is being used (stock image) Researchers created the AI, known as DeepMoji, by feeding it 1.2 billion tweets. The robot analysed each tweet to understand how 64 popular emoji were used in them to express meaning.


Dr Toby Walsh's disturbing predictions about AI

Daily Mail - Science & tech

Artificial intelligence is already transforming the world around us, but one expert predicts terrifying changes on the horizon over the next 30 years. Professor Toby Walsh believes machine learning has the power to radically alter life as we know it by the year 2050. Among the more disturbing prophecies, which could be taken straight from an episode of Black Mirror, is that people will live on as chatbots after they die. AI is already transforming the world around us, but one expert predicts terrifying changes on the horizon over the next 30 years. Dr Walsh's vision for the machine world is outlined in a new book entitled'It's Alive!: Artificial Intelligence from the Logic Piano to Killer Robots'.


Robohub Digest 07/17: World record breaking drones, bio-inspired 'bots and roadblocks ahead for self-driving cars in Asia

Robohub

A quick, hassle-free way to stay on top of robotics news, our robotics digest is released on the first Monday of every month. Sign up to get it in your inbox. From wacky talking Einsteins to clumsy security'bots, from speedy drones to the underwater operations at Fukushima, it's been another busy month. So let's kick off our July review with a look at robots in action! You'd be forgiven for missing this first one.


Explainer: What is artificial intelligence?

#artificialintelligence

Artificial intelligence has jumped from sci-fi movie plots into mainstream news headlines in just a couple of years. And the headlines are often contradictory. AI is either a technological leap into greater prosperity or mass unemployment; it will either be our most valuable servant or terrifying master. But what is AI, how does it work, and what are the benefits and the concerns? AI is a computer system that can do tasks that humans need intelligence to do. "An intelligent computer system could be as simple as a program that plays chess or as complex as a driverless car," Mary-Anne Williams, professor of social robotics at the University of Technology, Sydney, said.


Beyond the technical challenges for deploying Machine Learning solutions in a software company

arXiv.org Machine Learning

Recently software development companies started to embrace Machine Learning (ML) techniques for introducing a series of advanced functionality in their products such as personalisation of the user experience, improved search, content recommendation and automation. The technical challenges for tackling these problems are heavily researched in literature. A less studied area is a pragmatic approach to the role of humans in a complex modern industrial environment where ML based systems are developed. Key stakeholders affect the system from inception and up to operation and maintenance. Product managers want to embed "smart" experiences for their users and drive the decisions on what should be built next; software engineers are challenged to build or utilise ML software tools that require skills that are well outside of their comfort zone; legal and risk departments may influence design choices and data access; operations teams are requested to maintain ML systems which are non-stationary in their nature and change behaviour over time; and finally ML practitioners should communicate with all these stakeholders to successfully build a reliable system. This paper discusses some of the challenges we faced in Atlassian as we started investing more in the ML space.


10 predictions about the AI revolution

#artificialintelligence

Leading Australian artificial intelligence scientist Professor Toby Walsh is warning that we are "sleepwalking" into an AI future in which billions of machines and computers will be able to think. Professor Walsh, from the University of New South Wales, is calling for a national discussion about whether society needs to adopt clear boundaries and guidelines around how AI is developed and how it's used in our lives. In his book It's Alive: Artificial Intelligence From The Logic Piano to Killer Robots, he has highlighted key questions in a series of predictions that describe how our future could be far better or far worse because of AI. Here's how he thinks society might change by 2050 thanks to artificial intelligence. Humans drive drunk, tired and distracted and cause 95 per cent of accidents.


Musk doesn't think we're prepared to face humanity's biggest threat: AI

#artificialintelligence

The subjugation of humanity by a race of supersmart, artificially intelligent beings is something that has been theorised by everyone from generations of moviemakers to New Zealand's fourth most popular folk parody duo. But the latest prophet of our cyber-fueled downfall must realise why people would be inclined to take his warnings with a grain of silicon. He is, after all, the same guy who's asking us to turn over control of our cars - and our lives - to a bunch of algorithms. Elon Musk, who hopes that one day everyone will ride in a self-driving, electric-powered Tesla, told a group of governors on Saturday that they needed to get on the ball and start regulating artificial intelligence, which he called a "fundamental risk to the existence of human civilisation." When pressed for better guidance, Musk said the government must get a better understanding of the latest achievements in artificial intelligence before it's too late.


Facebook's negotiating bots learned their own language and how to lie

#artificialintelligence

Facebook has been working on artificial intelligence that claims to be great at negotiating, makes up its own language and learns to lie. OMG! Facebook must be building an AI Trump! "Art of the deal. This AI experiment comes out of a lab called Facebook Artificial Intelligence Research. It recently announced breakthrough chatbot software that can ruthlessly negotiate with other software or directly with humans. Research like that usually gets about as much media attention as a high school math bee, but the FAIR project points toward a bunch of intriguing near-term possibilities for AI while raising some creepy concerns--like whether it will be kosher for a bot to pretend it is human once bots get so good you can't tell whether they're code or carbon.


Parsing gender stereotypes in Japan's media landscape

The Japan Times

Tomomi Inada's resignation as defense minister ended a tenure that often made reporters wonder if her transgressions had more to do with ignorance than with incompetence. It would be wrong to associate her failures with her sex, though there were some in the media who harped on her fashion sense or supposed emotional instability as indications that she wasn't suitable for the job. Inada didn't actively discourage these indications. In June, she addressed the second plenary session of the International Institute of Strategic Studies' Shangri-La Dialogue in Singapore, where she expressed in English how privileged she felt to "share the podium" with other defense ministers, namely Marise Payne of Australia and Sylvie Goulard of France, saying that "We belong to the same gender … the same generation and, most importantly, we are all good looking." As mentioned in a June 14 article in the Huffington Post, Mayumi Mori, the Asahi Shimbun Singapore correspondent, noted that Inada was obviously making a joke "to relieve tension," and that there were a few chuckles in the hall.


4 Most Surprising Industries Using Chatbots Applications

#artificialintelligence

Chatbots, in case you aren't familiar, are software programs that automatically chat with human beings. Their history dates back to the 1960s, when a machine program known as "Eliza" was able to respond to specific types of phrases with pre-scripted quotes. Over the course of decades, computer scientists and programmers attempted to create more sophisticated chatbots, able to truly "understand" what people are saying and generate novel responses--all while seeming human--but it's been an incredibly difficult task. Now, we're finally starting to enter an era where chatbots are commonplace, and they're about to be incredibly important for several different applications. So why are we seeing this breakthrough now?