. As research into AI grows ever more ambitious and complex, these robot brains will challenge the fundamental assumptions of how we humans do things. And, as ever, the only true law of robotics is that computers will always do literally, exactly what you tell them to. A paper recently published to ArXiv highlights just Read more about The Hilarious (and Terrifying?) Ways Algorithms Have Outsmarted Their Creators[…]
A pair of computer scientists have created a neural network that can self-replicate. “Self-replication is a key aspect of biological life that has been largely overlooked in Artificial Intelligence systems,” they argue in a paper popped onto arXiv this month. It’s an important process in reproduction for living things, and is an important step for Read more about AI software that can reproduce like a living thing? Yup, boffins have only gone and done it • The Register[…]
Most recent advances in artificial-intelligence systems such as speech- or face-recognition programs have come courtesy of neural networks, densely interconnected meshes of simple information processors that learn to perform tasks by analyzing huge sets of training data. But neural nets are large, and their computations are energy intensive, so they’re not very practical for handheld Read more about MIT builds Neural network chip with 95% reduction in power consumption, allowing it to be used in a mobile[…]
This page shows how they used Deep Dream, Neural Style Transfer and OpticalFlow tools to create this music video Source: Music Video and Artificial Intelligence – Jean Pierre by Hardcore Anal Hydrogen
paper published this week by a trio of machine learning researchers from the University of Freiburg in Germany. They were exploring a particular method of teaching AI agents to navigate video games (in this case, desktop ports of old Atari titles from the 1980s) when they discovered something odd. The software they were testing discovered Read more about A video game-playing AI beat Q*bert in a way no one’s ever seen before[…]
A paper released on arXiv last week by a team of researchers from the University of California, Berkeley, National University of Singapore, and Google Brain reveals just how vulnerable deep learning is to information leakage. The researchers labelled the problem “unintended memorization” and explained it happens if miscreants can access to the model’s code and Read more about AI models leak secret data too easily[…]
Ok, to reduce the amount significantly. Using ML they figure out which baggage routes create the most stress in the system and then they can optimise these routes. Source: SITA: met AI geen zoekgeraakte bagage meer – Emerce
CrowdVision is an early stage company that uses computer vision software and artificial intelligence to help airports monitor the flow of passengers in real time to minimise queues and more efficiently manage resources. The software is designed to comply fully with data privacy and security legislation. CrowdVision data improves plans and can help airports react Read more about Amadeus invests in CrowdVision to help airports manage growing passenger volumes using AI camera tech[…]
When Google shared earlier this year that more than 700,000 apps were removed from Google Play in 2017 for violating the app store’s policies (a 70 percent year-over-year increase), the company credited its implementation of machine learning models and techniques to detect abusive app content and behaviors such as impersonation, inappropriate content, or malware. But Read more about Google: 60.3% of potentially harmful Android apps in 2017 were detected via machine learning[…]
The Commission is setting up a group on artificial intelligence to gather expert input and rally a broad alliance of diverse stakeholders. The expert group will also draw up a proposal for guidelines on AI ethics, building on today’s statement by the European Group on Ethics in Science and New Technologies. From better healthcare to Read more about Artificial intelligence: Commission kicks off work on marrying cutting-edge technology and ethical standards[…]
a new report by more than 20 researchers from the Universities of Oxford and Cambridge, OpenAI, and the Electronic Frontier Foundation warns that the same technology creates new opportunities for criminals, political operatives, and oppressive governments—so much so that some AI research may need to be kept secret. Included in the report, The Malicious Use Read more about The “Black Mirror” scenarios that are leading some experts to call for more secrecy on AI – MIT Technology Review[…]
“We’ve trained Watson on our standard solutions and offerings, plus all the prior solutions IBM has designed for large enterprises,” the corporate files state. “This means we can review a client’s RFP [request for proposal] and come up with a new proposed architecture and technical solution design for a state of the art system that Read more about IBM Watson to generate sales solutions[…]
Last year, computer scientists at the University of Montreal (U of M) in Canada were eager to show off a new speech recognition algorithm, and they wanted to compare it to a benchmark, an algorithm from a well-known scientist. The only problem: The benchmark’s source code wasn’t published. The researchers had to recreate it from Read more about Missing data hinder replication of artificial intelligence studies[…]
The technology was developed by a team led by Hiroshi Ishikawa, a professor at Japan’s Waseda University. It uses convolutional neural networks, a type of deep learning, to predict missing parts of images. The technology could be used in photo-editing apps. It can also be used to generate 3-D images from real 2-D images. The Read more about New AI model fills in blank spots in photos[…]
MothNet’s computer code, according to the boffins, contains layers of artificial neurons to simulate the bug’s antenna lobe and mushroom body, which are common parts of insect brains. Crucially, instead of recognizing smells, the duo taught MothNet to identify handwritten digits in the MNIST dataset. This database is often used to train and test pattern Read more about Moth brain uploaded to computer, taught to recognise numbers[…]
A paper, out last month and just accepted for this year’s International Conference on Learning Representations (ICLR) in April, describes just how difficult text summarization really is. A few companies have had a crack at it. Salesforce trained a recurrent neural network with reinforcement learning to take information and retell it in a nutshell, and Read more about Look out, Wiki-geeks. Now Google trains AI to write Wikipedia articles[…]
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[…]
We’re sharing the data and code behind some of our articles and graphics. Source: Our Data | FiveThirtyEight
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[…]
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[…]
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 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[…]
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[…]
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[…]
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[…]