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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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, […]

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. […]

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 […]

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 […]

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 […]

“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 […]

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

MXNet stands for mix and maximize. The idea is to combine the power of declartive programming together with imperative programming. In its core, a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. The library […]

Cloud Video Intelligence API (now in Private Beta) uses powerful deep-learning models, built using frameworks like TensorFlow and applied on large-scale media platforms like YouTube. The API is the first of its kind, enabling developers to easily search and discover video content by providing information about entities (nouns such as “dog,” “flower” or “human” or […]

Keras: Deep Learning library for Theano and TensorFlow You have just found Keras. Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least […]