Gfycat Uses Artificial Intelligence to Fight Deepfakes Porn

Gfycat says it’s figured out a way to train an artificial intelligence to spot fraudulent videos. The technology builds on a number of tools Gfycat already used to index the GIFs on its platform. [..] Gfycat’s AI approach leverages two tools it already developed, both (of course) named after felines: Project Angora and Project Maru. Read more about Gfycat Uses Artificial Intelligence to Fight Deepfakes Porn[…]

Facial Recognition Is Accurate, if You’re a White Guy

Facial recognition technology is improving by leaps and bounds. Some commercial software can now tell the gender of a person in a photograph. When the person in the photo is a white man, the software is right 99 percent of the time. But the darker the skin, the more errors arise — up to nearly Read more about Facial Recognition Is Accurate, if You’re a White Guy[…]

Worm brain translated into a computer is taught tricks without programming

It is not much to look at: the nematode C. elegans is about one millimetre in length and is a very simple organism. But for science, it is extremely interesting. C. elegans is the only living being whose neural system has been analysed completely. It can be drawn as a circuit diagram or reproduced by Read more about Worm brain translated into a computer is taught tricks without programming[…]

Robot learns to mimic simple human motions

Researchers from the University of California, Berkeley, in the USA, have made some progress on this front by teaching code controlling a robot arm and hand to perform three tasks: grabbing an object and placing it in a specific position; pushing an object; and pushing and pulling an object after seeing the same action performed Read more about Robot learns to mimic simple human motions[…]

Engineers design artificial synapse for “brain-on-a-chip” hardware

engineers at MIT have designed an artificial synapse in such a way that they can precisely control the strength of an electric current flowing across it, similar to the way ions flow between neurons. The team has built a small chip with artificial synapses, made from silicon germanium. In simulations, the researchers found that the Read more about Engineers design artificial synapse for “brain-on-a-chip” hardware[…]

Revealing True Emotions Through Micro-Expressions: A Machine Learning Approach

Micro-expressions–involuntary, fleeting facial movements that reveal true emotions–hold valuable information for scenarios ranging from security interviews and interrogations to media analysis. They occur on various regions of the face, last only a fraction of a second, and are universal across cultures. In contrast to macro-expressions like big smiles and frowns, micro-expressions are extremely subtle and Read more about Revealing True Emotions Through Micro-Expressions: A Machine Learning Approach[…]

Facebook open sources Detectron, object detection framework in caffe2

Today, Facebook AI Research (FAIR) open sourced Detectron — our state-of-the-art platform for object detection research. The Detectron project was started in July 2016 with the goal of creating a fast and flexible object detection system built on Caffe2, which was then in early alpha development. Over the last year and a half, the codebase Read more about Facebook open sources Detectron, object detection framework in caffe2[…]

Active learning machine learns to create new quantum experiments

We present an autonomous learning model which learns to design such complex experiments, without relying on previous knowledge or often flawed intuition. Our system not only learns how to design desired experiments more efficiently than the best previous approaches, but in the process also discovers nontrivial experimental techniques. Our work demonstrates that learning machines can Read more about Active learning machine learns to create new quantum experiments[…]

New AI System Predicts How Long Patients Will Live With Startling Accuracy

By using an artificially intelligent algorithm to predict patient mortality, a research team from Stanford University is hoping to improve the timing of end-of-life care for critically ill patients. After parsing through 2 million records, the researchers identified 200,000 patients suitable for the project. The researchers were “agnostic” to disease type, disease stage, severity of Read more about New AI System Predicts How Long Patients Will Live With Startling Accuracy[…]

When It Comes to Gorillas, Google Photos Remains Blind – it’s hard to take an AI to account

In a third test attempting to assess Google Photos’ view of people, WIRED also uploaded a collection of more than 10,000 images used in facial-recognition research. The search term “African american” turned up only an image of grazing antelope. Typing “black man,” “black woman,” or “black person,” caused Google’s system to return black-and-white images of Read more about When It Comes to Gorillas, Google Photos Remains Blind – it’s hard to take an AI to account[…]

Boffins tweak audio by 0.1% to fool speech recognition engines

a paper by Nicholas Carlini and David Wagner of the University of California Berkeley has explained off a technique to trick speech recognition by changing the source waveform by 0.1 per cent. The pair wrote at arXiv that their attack achieved a first: not merely an attack that made a speech recognition SR engine fail, Read more about Boffins tweak audio by 0.1% to fool speech recognition engines[…]

This Ex-NSA Hacker Is Building an AI to Find Hate Symbols on Twitter

NEMESIS, according to Crose, can help spot symbols that have been co-opted by hate groups to signal to each other in plain sight. At a glance, the way NEMESIS works is relatively simple. There’s an “inference graph,” which is a mathematical representation of trained images, classified as Nazi or white supremacist symbols. This inference graph Read more about This Ex-NSA Hacker Is Building an AI to Find Hate Symbols on Twitter[…]

AI System Sorts News Articles By Whether or Not They Contain Actual Information

In a recent paper published in the Journal of Artificial Intelligence Research, computer scientists Ani Nenkova and Yinfei Yang, of Google and the University of Pennsylvania, respectively, describe a new machine learning approach to classifying written journalism according to a formalized idea of “content density.” With an average accuracy of around 80 percent, their system Read more about AI System Sorts News Articles By Whether or Not They Contain Actual Information[…]

Google’s voice-generating AI is now indistinguishable from humans

A research paper published by Google this month—which has not been peer reviewed—details a text-to-speech system called Tacotron 2, which claims near-human accuracy at imitating audio of a person speaking from text. The system is Google’s second official generation of the technology, which consists of two deep neural networks. The first network translates the text Read more about Google’s voice-generating AI is now indistinguishable from humans[…]

Project Maven brings AI to the fight against ISIS

For years, the Defense Department’s most senior leadership has lamented the fact that US military and spy agencies, where artificial intelligence (AI) technology is concerned, lag far behind state-of-the-art commercial technology. Though US companies and universities lead the world in advanced AI research and commercialization, the US military still performs many activities in a style Read more about Project Maven brings AI to the fight against ISIS[…]

Canada to use AI to Study ‘Suicide-Related Behavior’ on Social Media

his month the Canadian government is launching a pilot program to research and predict suicide rates in the country using artificial intelligence. The pilot will mine Canadians’ social media posts “in order to identify patterns associated with users who discuss suicide-related behavior,” according to a recently published contract document. Source: Canada Is Using AI to Read more about Canada to use AI to Study ‘Suicide-Related Behavior’ on Social Media[…]

Using stickers in the field of view to fool image recognition AIs

In a research paper presented in December through a workshop at the 31st Conference on Neural Information Processing Systems (NIPS 2017) and made available last week through ArXiv, a team of researchers from Google discuss a technique for creating an adversarial patch. This patch, sticker, or cutout consists of a psychedelic graphic which, when placed Read more about Using stickers in the field of view to fool image recognition AIs[…]

Another AI attack, this time against ‘black box’ machine learning

Unlike adversarial models that attack AIs “from the inside”, attacks developed for black boxes could be used against closed system like autonomous cars, security (facial recognition, for example), or speech recognition (Alexa or Cortana).The tool, called Foolbox, is currently under review for presentation at next year’s International Conference on Learning Representations (kicking off at the Read more about Another AI attack, this time against ‘black box’ machine learning[…]

KLM uses AI to answer questions on social media

olgens KLM worden wekelijks 30.000 gesprekken gevoerd door de 250 socialmediamedewerkers. De luchtvaartmaatschappij wordt wekelijks ruim 130.000 keer genoemd op social media. Gemiddeld bestaat een gesprek tussen KLM en een klant uit vijf tot zes vragen en antwoorden. De veelgestelde vragen die met behulp van kunstmatige intelligentie automatisch kunnen worden beantwoord, worden meestal aan het Read more about KLM uses AI to answer questions on social media[…]

China’s big brother: how artificial intelligence is catching criminals and advancing health care

“Our machines can very easily recognise you among at least 2 billion people in a matter of seconds,” says chief executive and Yitu co-founder Zhu Long, “which would have been unbelievable just three years ago.” Yitu’s Dragonfly Eye generic portrait platform already has 1.8 billion photographs to work with: those logged in the national database Read more about China’s big brother: how artificial intelligence is catching criminals and advancing health care[…]

AI helps find planets in other solar systems

The neural network is trained on 15,000 signals from the Kepler dataset that have been previously verified as planets or non-planets. A smaller test set with new, unseen data was fed to the neural network and it correctly identified true planets from false positives to an accuracy of about 96 per cent.The researchers then applied Read more about AI helps find planets in other solar systems[…]

Google Taught an AI to Make Sense of the Human Genome

This week, Google released a tool called DeepVariant that uses deep learning to piece together a person’s genome and more accurately identify mutations in a DNA sequence.Built on the back of the same technology that allows Google to identify whether a photo is of a cat or dog, DeepVariant solves an important problem in the Read more about Google Taught an AI to Make Sense of the Human Genome[…]

AI in storytelling: Machines as cocreators

Sunspring debuted at the SCI-FI LONDON film festival in 2016. Set in a dystopian world with mass unemployment, the movie attracted many fans, with one viewer describing it as amusing but strange. But the most notable aspect of the film involves its creation: an artificial-intelligence (AI) bot wrote Sunspring’s screenplay. ome researchers have already used Read more about AI in storytelling: Machines as cocreators[…]

AI-Assisted Fake Porn Is Here and We’re All Fucked – Motherboard

There’s a video of Gal Gadot having sex with her stepbrother on the internet. But it’s not really Gadot’s body, and it’s barely her own face. It’s an approximation, face-swapped to look like she’s performing in an existing incest-themed porn video.The video was created with a machine learning algorithm, using easily accessible materials and open-source Read more about AI-Assisted Fake Porn Is Here and We’re All Fucked – Motherboard[…]