The Stanford University study, which is set to be published in the Journal of Personality and Social Psychology and was first reported in The Economist, found that machines had a far superior “gaydar” when compared to humans. The machine intelligence tested in the research could correctly infer between gay and straight men 81 percent of Read more about A.I. can detect the sexual orientation of a person based on one photo, research shows[…]

That’s what a group of researchers, from the University of Vermont and the University of Adelaide, set out to do. They collected computer-generated story arcs for nearly 2,000 works of fiction, classifying each into one of six core types of narratives (based on what happens to the protagonist): 1. Rags to Riches (rise) 2. Riches Read more about An A.I. Says There Are Six Main Kinds of Stories[…]

Think of Macie as a data loss prevention agent, a DLPbot, that uses machine learning to understand a user’s pattern of access to data in S3 buckets. The buckets have permission levels and the data in a bucket can be ranked for sensitivity or risk, using items such as credit card numbers, and other sensitive Read more about Amazons Macie detects data leaks in S3 buckets using AI[…]

In a shock move on Friday evening, the software agent squared up to top Dota 2 pro gamer Dendi, a Ukrainian 27-year-old, at the Dota 2 world championships dubbed The International. The OpenAI agent beat Dendi in less than 10 minutes in the first round, and trounced him again in a second round, securing victory Read more about OpenAI bot bursts into the ring, humiliates top Dota 2 pro gamer in ‘scary’ one-on-one bout[…]

System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image. […] at Siggraph, the premier digital graphics conference, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and Google are presenting a new system that can automatically retouch images in the style of a professional photographer. It’s so Read more about MIT Real time automatic image retouching on your phone[…]

Emma is a self-learning technology. She analyses and understands the way people write. Emma uses machine learning and artificial intelligence to study the innards of each author’s writing style and attributes authorship on their basis. Emma Identity

The team – which also included researchers at Rutgers University in New Jersey and Facebook’s AI lab in California – modified a type of algorithm known as a generative adversarial network (GAN), in which two neural nets play off against each other to get better and better results. One creates a solution, the other judges Read more about Artificially intelligent painters invent new styles of art[…]

We made an interactive web experiment that lets you draw together with a recurrent neural network model called sketch-rnn. We taught this neural net to draw by training it on millions of doodles collected from the Quick, Draw! game. Once you start drawing an object, sketch-rnn will come up with many possible ways to continue Read more about Draw Together with a Neural Network[…]

Meanwhile, the on-chip memory has increased from 1 GB on the Fathom NCS to 4 GB LPDDR3 on the Movidius NCS, in order to facilitate larger and denser neural networks. And to cap it all off, Movidius has been able to reduce the MSRP to $79 – citing Intel’s “manufacturing and design expertise” – lowering Read more about Intel Launches Movidius Neural Compute Stick: Deep Learning and AI on a $79 USB Stick[…]

Hyrum Anderson, technical director of data science at security shop Endgame, showed off research that his company had done in adapting Elon Musk’s OpenAI framework to the task of creating malware that security engines can’t spot. The system basically learns how to tweak malicious binaries so that they can slip past antivirus tools and continue Read more about AI quickly cooks malware that AV software can’t spot[…]

AEGIS doesn’t cover general operations, which are still directed by humans. Instead it lets Curiosity pick its own targets on which to focus its ChemCam, an instrument that first vaporizes Martian rocks with a laser and then studies the resulting gases. AEGIS does so after analysing images captured by Curiosity’s NavCam, which snaps stereo images, Read more about Humanity uploaded an AI to Mars and lets it shoot rocks with lasers[…]

http://mentalfloss.com/article/501060/man-buys-two-metric-tons-lego-bricks-sorts-them-machine-learning

In trials, results have been 80-90% accurate when predicting whether someone will attempt suicide within the next two years, and 92% accurate in predicting whether someone will attempt suicide within the next week. The prediction is based on data that’s widely available from all hospital admissions, including age, gender, zip codes, medications, and prior diagnoses. Read more about Artificial intelligence can now predict suicide risk with remarkable accuracy[…]

Despite all the headway that science has made in understanding autism in recent years, knowing which children will one day develop autism is still almost impossible to predict. Children diagnosed with autism appear to behave normally until around two, and until then there is often no indication that anything is wrong. […] In a paper Read more about Scientists Are Now Using AI to Predict Autism in Infants[…]

CNTK 2.0 The first production release of Cognitive Toolkit v.2. Highlights: CNTK backend for Keras. Extremely fast binary convolution with Halide. Java API. A new set of NuGet Packages. Multiple bug fixes. Github

With the use of Artificial Intelligence PriceCast Fuel detects behavioral patterns in Big Data (all available data relevant to the sale) and relates to customer and competitor reactions with a frequency and level of accuracy that users of traditional pricing systems only can dream about,” the company explains in a brochure [PDF]. “Dynamically mapping customer Read more about AI-powered dynamic pricing turns its gaze to the fuel pumps[…]

We train on a million images, with simulated user inputs. To guide the user towards efficient input selection, the system recommends likely colors based on the input image and current user inputs. The colorization is performed in a single feed-forward pass, enabling real-time use. Even with randomly simulated user inputs, we show that the proposed Read more about Real-Time User-Guided Image Colorization with Learned Deep Priors within minutes[…]

“We train our models on a huge dataset with thousands of speakers,” Jose Sotelo, a team member at Lyrebird and a speech synthesis expert, told Gizmodo. “Then, for a new speaker we compress their information in a small key that contains their voice DNA. We use this key to say new sentences.” The end result Read more about This Artificially Intelligent Speech Generator Can Fake Anyone’s Voice[…]

We’re committed to providing the community with high-performance machine learning tools so that everyone can create intelligent apps and services. Caffe2 is shipping with tutorials and examples that demonstrate learning at massive scale which can leverage multiple GPUs in one machine or many machines with one or more GPUs. Learn to train and deploy models Read more about Caffe2 Open Source Brings Cross Platform Machine Learning Tools to Developers[…]

The idea is to collect and analyse quantities of information to understand consumer tastes, recommend products to people and personalise websites for customers. Otto’s work stands out because it is already automating business decisions that go beyond customer management. The most important is trying to lower returns of products, which cost the firm millions of Read more about AI Otto buys stock for ecommerce, decreases customer returns[…]

No one really knows how the most advanced algorithms do what they do. That could be a problem. Source: There’s a big problem with AI: even its creators can’t explain how it works It’s a good run down of some of the places where accountability (self-driving cars, medical recommendations, AI driven tanks and drones, Siri, Read more about There’s a big problem with AI: even its creators can’t explain how it works[…]

We have found that the flexibility and adaptiveness of TensorFlow lends itself to building higher level frameworks for specific purposes, and we’ve written one for quickly building neural network modules with TF. We are actively developing this codebase, but what we have so far fits our research needs well, and we’re excited to announce that Read more about Open sourcing Sonnet – a new library for constructing neural networks with Tensorflow[…]

At first, the bot lingo was more like Morse code: an abstract symbol was agreed upon and then scattered among spaces to create meaning, the researchers explained in a blog post. The team tweaked the experiment so that there was a slight penalty on every utterance for every bot, and they added an incentive to Read more about This AI stuff is all talk! Bots invent their own language to natter away behind humans’ backs[…]

The system, which has been trained on thousands of hours of BBC News programmes, has been developed in collaboration with Google’s DeepMind AI division. “Watch, Attend and Spell”, as the system has been called, can now watch silent speech and get about 50% of the words correct. That may not sound too impressive – but Read more about Towards a lip-reading computer[…]