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AI can pick out criminals by looking at their faces • /r/artificial
The thing is, an Israeli company contracted by their government is planning to use exactly this sort of thing for profiling potential criminals, and yes that's mad. As to the correlation, in psychology there is a known cognitive bias called "the horns effect". It describes that a person who has ugly or anger-like features will be considered bad by default, and in at least partial ways treated as such. Being treated more negatively throughout one's life has obvious effects. However, someone can wear the same face for decades without murdering anyone, or wear the same face for decades after redeeming oneself, so all this is is unreliable prejudice. And as I originally pointed out: The issue may easily be due to a biased training set with photos of incarcerated criminals ordered to pose vs normal people asked to pose.
Inside Magic Leap, The Secretive $4.5 Billion Startup Changing Computing Forever
The hottest ticket in tech is an invitation to a banal South Florida business park, indistinguishable on the outside from countless other office buildings that dot America's suburban landscape. Humanoid robots walk down the halls, and green reptilian monsters hang out in the lounge. Cartoon fairies turn the lights on and off. Even the office equipment does the impossible. The high-definition television hanging on the wall seems perfectly normal. Incredibly, it is now levitating in midair. Get as close as you'd like, check it out from different angles.
Why you should start using Google Keep right away
Google Keep is probably the best Google service that most people don't use. Services like Keep, Evernote and Microsoft OneNote are often called "note-taking apps." They've grown beyond their roots, now offering collaborative workflow, reminders, checklists, geofencing, optical character recognition, voice transcription, sketching and more. A few years ago, I would have recommended Evernote. But over the summer, Evernote took a wrong turn.
Top 3 AI Devices That Make Your Life Easier - Ciklum
However, smartphone AI has gone above and beyond Siri's initial features. Cortana from Windows can let us know the weather and remind us of important dates that are coming up, while Google's personal assistant will integrate with Google Home and Apollo so you have a one-stop assistant for all your personal and business needs. The Yahoo Tech journalists compared Siri vs Cortana, Google Now, and Alexa to find out which voice assistant is better. They found out that Siri (iPhone) and Google Now (Android) are the only assistants that flawlessly handle requests like "Remind me to pick up my dry cleaning when I leave home" or "Remind me to wear red on Valentine's Day". And only Siri executes such spoken instructions as "Make the screen brighter" or "Learn how to pronounce "Jacquee."
Is Your Data Sexist? Why Bias Matters in Artificial Intelligence
Almost two years ago, Lean In and Getty images partnered to address bias in the way women are portrayed in stock photography by creating The Lean In Collection, over 6,000 images portraying women as leaders and/or partners. In March of this year, data from Procter & Gamble's Always Confidence and Puberty Survey revealed that more than half of girls surveyed felt that female emoji are stereotypical, while 75 percent wanted to see girls portrayed more progressively. In July, Google announced that the Unicode Consortium had approved 11 new professional emoji--such as farmer, mechanic and welder--with both female and male options, and in a range of skin tones. They also approved a set of male and female versions of existing emoji. But now it's not only stock photos and emoji that are at issue.
AllAnalytics - Emily Johnson - 6 Applications of Artificial Intelligence and a Look at the Future of AI
In the TV show --Westworld,-- artificially intelligent (AI) robots built to look and act exactly like humans take guests through different narratives of an old-west-styled amusement park in order to help them live out their fantasies -- whether promiscuous, adventurous, or deadly. In episode two of the show, one robot--s glitch gives --Westworld-- employees pause, causing them to decommission it. A scientist in the programming division suggests this glitch may be contagious, --so to speak,-- and could infect other robots, or --hosts-- as they call them in the show. This theory is denied by her superior, but later in the episode, the daughter of the decommissioned robot is shown seemingly infecting another host with "consciousness" by repeating what could--be a trigger phrase:--"These violent delights have violent ends." All of this seems like an eerie (and perhaps, impossible) peek into the future, but Christopher Atkeson, a professor at the Robotics Institute and Human-Computer Interaction Institute at Carnegie Mellon University, told INSIDER that simulated consciousness already exists in products such as Amazon Echo and the iPhone--s Siri, and that AI systems infecting other AI systems is not a hypothetical scenario.
In the fight against fake news, artificial intelligence is waging a battle it cannot win
It's become clear that the algorithms Facebook and Google designed to deliver news to their users have failed. But while fake news is a headache for those tech giants right now, the underlying research question--whether and how machines tell truth from lies on the internet--is one that will persist as long as the world wide web stays an open forum. Facebook and Google's sizable machine learning divisions have created algorithms that effectively surface information that users want to see. But they've been unable to actually understand or vet that info--and in fact, experts across the tech industry say it's unrealistic to expect any AI or machine learning algorithm to do this task well. All our best efforts so far are built on research in natural language processing, which teaches AI to read a piece of text, understand the concepts within, and provide insight about its meaning. "Modern machine learning for natural language processing is able to do things like translate from one language to another, because everything it needs to know is in the sentence its processing," says Ian Goodfellow, a researcher at OpenAI.
How to produce sounds in Python, R, Java, C, Perl, Javascript or even Linux?
I want to create music generated by mathematical algorithms, or even turning big data files into sound files, just like NASA turned electromagnetic signals from space into music. Producing artificially generated music is a popular subject, see for instance Composing Music With Recurrent Neural Networks, or Using Machine Learning to Generate Music. My question is how to access my laptop's speaker from a script written in Python or Perl. I used to do it long ago in C language, using the command sound available in the Borland package. Today I tried various system calls from within Perl, or directly from the command line, to non avail.
Deep-Domain Conversational AI RoboticsTomorrow
Can you tell us a bit about MindMeld? MindMeld is a leading Conversational AI company, now offering Deep-Domain Conversational AI. The company has pioneered the AI technology behind the emerging generation of intelligent voice and chat assistants and currently powers advanced conversational experiences used by some of the world's largest media companies, government agencies, automotive manufacturers, and global retailers. MindMeld's customers and investors include Google, Samsung, Intel, Telefonica, Liberty Global, IDG, USAA, Uniqlo, Spotify, In-Q-Tel and others. What does Deep-Domain Conversational AI mean?
Giving corporate innovation a jolt
Armin Prommersberger is senior vice president, Technology -- Lifestyle Audio Division, HARMAN International. How to join the network Today's competitive business world demands innovation. Corporations need to innovate to inspire, compete and survive. However, the burden of innovation has largely rested on startups. Large corporations and established businesses are expected to out-think their rivals, but more often we see that they rely on minor product updates or acquisitions in place of home-grown innovation. Startups are moving too fast these days for a complacent strategy to be enough. No longer can companies and business leaders rely on slow-moving corporate or product strategies to withstand the attack from disruptive upstarts.