Chris Rodley uses a deep learning algorithm to merge a book of dinosaurs with a book of flower paintings. The results are magnificent, and deserve a spot on the walls of our finest art galleries. This isn’t the first time Rodley has dabbled with a deep learning A.I. to create art. Using a website called Deepart.io, which is powered by an algorithm developed by Leon Gatys and a team from the University of Tübingen in Germany, Rodley previously merged a Trump family photo and various Muppet characters, with nightmarish results.
Generative design software will give designers "superpowers"
Generative design tools that produce optimum forms for products and buildings without human intervention are set to transform both the physical world and the role of the designer, according to software experts.n Feb 16,2017
Generative Adversarial Networks for Beginners
Practical Generative Adversarial Networks for Beginners. You can download and modify the code from this tutorial Jun 12,1027
An Introduction to Deep Learning for Generative Models
Amir Saffari (http://www.ymer.org/amir/) writes: This is a two episode article where I discuss how recent advances in supervised learning can be used for generative purposes (this article) and how one can use these models to create music (next episode). Nov 21,2016
The GAN Zoo A list of all named GANs! 04/19/17
Every week, new papers on Generative Adversarial Networks (GAN) are coming out and it’s hard to keep track of them all, not to mention the incredibly creative ways in which researchers are naming these GANs! So, here’s the current and frequently updated list, from what started as a fun activity compiling all named GANs in this format: Name and Source Paper linked to Arxiv.
New O'reily Artificial Intelligence Newsletter
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Robo-Pharmacist: This AI is Designing Structures for Futuristic Wonder DrugsRobo-Pharmacist: This AI is Designing Structures for Futuristic Wonder Drugs
A team of MIT researchers led by Alán Aspuru-Guzik developed an artificial intelligence (AI) program that could change the way pharmaceutical research is conducted. Usually, drug development research relies on simulations that attempt to identify or predict useful molecular structures based on rules written by chemists for pools of candidate molecules. This approach is often limited by human involvement, the accuracy of available simulations, and required processing power. May 5,2017
"Brain age" found to be a predictor of death
.... IC London researchers believe they have found yet another way to determine how well we're aging by combining MRI scans of the brain with machine-learning algorithms. April 27,2017
Lyrebird - an API for generating human voice
Lyrebird will offer an API to copy the voice of anyone. It will need as little as one minute of audio recording of a speaker to compute a unique key defining her/his voice. This key will then allow to generate anything from its corresponding voice. April 26,2017
Caffe2 A New Lightweight, Modular, and Scalable Deep Learning Framework
Caffe2 aims to provide an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. April 20,2017
Caffe2 Deep Learning Framework
Caffe2 is a deep learning framework enabling simple and flexible deep learning. Built on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind, allowing for a more flexible way to organize computation. April 20,2017
The Skills You Need to Become a Data Scientist
Specializing in statistics, programming, business, and design sounds like a daunting task. But getting background in all these skills is incredibly rewarding because you can tackle the business questions that are racking the brains of your company’s senior leaders. March 1, 2017
Artificial intelligence: How to avoid racist algorithms
From BBC News April 16, 2017
"...many of the algorithms that make decisions about our lives - from what we see on the internet to how likely we are to become victims or instigators of crime - are trained on data sets that do not include a diverse range of people."
Suresh Venkatasubramanian states, "...bias, or skew, in decision-making will shift from things we recognise as human prejudice to things we no longer recognise and therefore cannot detect - because we will take the decision-making for granted."
Suresh Venkatasubramanian offers a number solutions:
*better and more diverse data sets with which to train the algorithm
*sharing best practice among software vendor
*building algorithms which explain their decision making
The Algorithmic Justice League (AJL) was launched by Joy Buolamwini, a postgraduate student at the Massachusetts Institute of Technology, to work to end algorithmic bias.
O'Reilly Artificial Intelligence Newsletter New O'Reilly Artificial Intelligence Newsletter
O'Reilly Artificial Intelligence Newsletter is available
1. How does IBM Watson search TED Talks?
2. Build a talking, face-recognizing doorbell for $100
3. What's Baidu up to?
4. AI won't replace lawyers. (Yet.)
5. Adapting ideas from neuroscience for AI
6. Petrificus Totalus!
7. "This kind of breakthrough could cause our species to go berserk."
8. Applications in AI
9. Naked Tensor
10. Intel creates AI products group
11. Simon says...
DeepMind Finds Way to Overcome AI’s Forgetfulness Problem
DeepMind, claims it overcame a key limitation affecting one of the most promising machine learning technologies: the software’s inability to remember. March 16,2017
There's a raging talent war for AI experts and its costing automakers millions
"The growth of demand is much faster than the rate of which we can produce people with PhDs or even master’s in this area," Yoshua Bengio, head of the Montreal Institute for Learning Algorithms, told Business Insider. "There’s just an explosion of interest from the industry... and it’s like a fire growing on the prairie." March 12, 2017
Conversational AI and the road ahead
Despite great strides in natural language processing (NLP) by data-driven approaches, natural language understanding remains elusive. The Winograd Schema Challenge is a recently proposed improvement on the Turing Test for assessing whether a machine can be judged “intelligent.” February 25, 2017 by Katherine Bailey (@katherinebailey)
We Are The Robots: Is the future of music artificial?
February 19, 2017
New NVIDIA® Jetson™ TX2
From Nvidia: The new NVIDIA® Jetson™ TX2 is a high-performance, low-power supercomputer on a module that provides extremely quick, accurate AI inferencing in everything from robots and drones to enterprise collaboration devices and intelligent cameras.
New O’Reilly Artificial Intelligence Newsletter
There is a new O’Reilly Artificial Intelligence Newsletter out. March 6,2017
Deep learning meets genome biology
Brendan Frey, a co-founder of Deep Genomics, talks about his work using machine learning to understand the genome and to realize new possibilities in genomic medicine. April 27,2016
The Rise of AI Makes Emotional Intelligence More Important
The booming growth of machine learning and artificial intelligence (AI), like most transformational technologies, is both exciting and scary. As machine learning continues to grow, we all need to develop new skills in order to differentiate ourselves. But which ones? FEBRUARY 15, 2017
Nvidia Shows Artificial Intelligence Revolution Is Biggest Trend Of Our Time
AI is increasingly being used in everything and everywhere, most notably data centers for machine learning, where Nvidia's GPUs have a tremendous lead over the competition......
Whatever happened to the DeepMind AI ethics board Google promised?
When the search giant bought the artificial intelligence company, part of the deal was setting up an ethics board. Three years on, where is it? Thursday 26 January 2017
'Partnership on AI' formed by Google, Facebook, Amazon, IBM and Microsoft
Two big Silicon Valley names are missing from the alliance, which aims to set societal and ethical best practice for artificial intelligence research Sept 28,2016
From the BBC Could robots be marking your homework? 14 December 2016