If you have ever used Instagram or Snapchat, you are familiar with using filters that alter the brightness, saturation, contrast, and so on of your images. Neural style, a deep learning algorithm, goes beyond filters and allows you to transpose the style of one image, perhaps Van Gogh’s “Starry Night,” and apply that style onto any other image.
Neural style, one of many models available on Somatic.io, uses a deep neural network in order to separate and recombine content and style of any two images. It is one of the first artificial neural networks (ANNs) to provide an algorithm for the creation of artistic imagery.
How Does it Work?
The model is given two input images, one that will be used for styling, the other for content. At each processing stage in the convolutional neural network’s (CNN) hierarchy, the images are broken into a set of filtered images. While the number of different filters increases along the processing hierarchy, the overall size of the filtered images is reduced, leading to a decrease in the total number of units per layer of the network.
The above figure visualizes the information at different processing stages in the CNN. The content reconstructions from lower layers (a,b,c) are almost exact replicas of the original image. In the higher layers of the network however, the detailed pixel information is lost while the high-level structures and details remain the same (d,e). Meanwhile, the model captures the style of the other input image on top of the content CNN representations. Then, the style representation draws connections between the different features in different layers of the CNN. The model then reconstructs the style of the input image on top of the content representations within each of the CNN layers. This creates images that match the style on an increasing scale as you move through the network’s hierarchy.
Try It Out!
Experiment with the model for yourself. All you need to do is select an image you want to use for style and anther one for the content. Here are some creations of the latest creations the model has generated.
- The tablet-based bot can help guide people near the end of their lives through a number of difficult issues, including funeral plans, wills and spiritual questions.
- The chatbot was designed by a team of doctors, hospital chaplains and scientists for people within a year of the end of their life.
- It helps people to make difficult decisions near the end of their life using multiple-choice responses.
- The software was designed by a team of doctors, hospital chaplains and scientists for people within a year of the end of their life.
- The success of this early trial means Professor Bickmore and his team will now test the software on a larger group of 364 people within a year of the end of their life.
The expert behind the chatbot, from Northeastern University in Boston, Massachusetts, claims it operates within specific boundaries to avoid dangerous advise.
Continue reading “The end-of-life chatbot that could help terminally ill patients make difficult final decisions”
- San Francisco city supervisor Jane Kim has been actively pushing for a robot tax to be implemented in the state.
- When Microsoft co-founder (now billionaire philanthropist) Bill Gates spoke about a robot tax, San Francisco city supervisor Jane Kim heard him — or, at least, she read about it.
- Now, Kim has been pushing for a robot tax in the home state of Silicon Valley, and she’s been up and about talking to the leaders of the tech industry, various labor groups throughout the state, and to public policy makers figuring out how best to implement a robot tax.
- For every human job lost to robot labor, companies have to pay the same amount of tax and social security that person was due.
- Essentially, the robot tax is security for the displaced human worker.
San Francisco Supervisor Jane Kim is pushing for a robot tax on her city. But what are the consequences, of both implementing and rejecting a robot tax?
Continue reading “San Francisco Might Soon Tax Robots, but Who Does It Benefit?”
- Scenario consideration reveals some no-regret plays for insurers that should secure a seat at the table no matter the outcome – and no matter which tables end up ultimately handling the business of risk management.
- Maturing markets, tight capital, increasing risk and technologically sophisticated customers are just some of the pressures the insurance industry faces today.
- The IBM Global Insurance team has reinvented itself to provide solutions to help clients meet the demands of today’s insurance business.
- From enhanced customer service to greater efficiency in the back office and improved risk management, there’s a smarter solution for you.
- For more information about IBM Insurance solutions, visit IBM Insurance.
Insurance 2025 Reducing risk in an uncertain future
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- The company has spent a lot of time honing its facial recognition technology for the purpose of building a system that can recognize people in consumer photos, and it’s now bringing those same models to commercial customers.
- That provides a benefit to enterprise customers, because it means that Ever can continue optimizing its facial recognition model on its consumer data set without having to tap the data of their enterprise clients.
- Customers who license Ever’s APIs will be entitled to ongoing updates as the company continues to revise its models in the future.
- Ever chose to make its APIs available under a self-hosted license that provides ongoing service, support, and upgrades rather than through a cloud service because its customers wanted the flexibility for unlimited use and the ability to run Ever AI in their own data centers.
- Ever AI has the potential to power products like improved multi-factor authentication, since its facial verification technology can let companies ensure that the person who’s looking at a camera matches an image they have on file for the same identity.
Ever, maker of a consumer app for storing and organizing digital photos, is getting into the enterprise market. Today, the company announced Ever AI, a set of APIs that are supposed to provide a wide variety of visual intelligence capabilities to companies that need them.
Continue reading “Ever takes on Microsoft, Amazon, IBM, and others with AI facial recognition service”
- In Brief A music album called I AM AI, the featured single of which is set to release on August 21st, is the first album that’s entirely composed and produced by an artificial intelligence.
- The AI was developed by a team of professional musicians and technology experts, and it’s the the very first AI to compose and produced an entire music album.
- Check out the song “Break Free” in the video below:
As film composer Drew Silverstein, one of Amper’s founders, explained to TechCrunch, Amper isn’t meant to act totally on its own, but was designed specifically to work in collaboration with human musicians: “One of our core beliefs as a company is that the future of music is going to be created in the collaboration between humans and AI.
- That said, the team notes that, contrary to the other songs that have been released by AI composers, the chord structures and instrumentation of “Break Free” are entirely the work of Amper’s AI.
- Yet, while IAMAI may be the first album that’s entirely composed and produced by an AI, it’s not the first time an AI has displayed creativity in music or in other arts.
A music album called IAMAI, which is set to release on August 21st, is the first that’s entirely composed by an artificial intelligence.
Continue reading “The World’s First Album Composed and Produced by an AI Has Been Unveiled”
- Vladimir Putin may secretly be on the side of Elon Musk in their indirect debate over the threat posed by artificial intelligence (AI).
- READ MORE: ‘Whoever leads in AI will rule the world’: Putin to Russian children on Knowledge Day
The remark was taken as an ominous sign by some people in the West while Elon Musk, an outspoken advocate of restricting AI development, warned competition between nations in this area may lead to World War III.
- As the technology matures, it is being adapted for ‘real world’ applications like self-driving cars or even the optimization of centuries-old manufacturing technology like metal casting, Volozh told Putin during the tour.
- However there is concern that such algorithms and robots controlled by them would make millions of human employees redundant over the next couple of decades, creating a large force of disenfranchised people.
- A debate also rages over whether humans should entrust AI with tasks of an ethical nature, such as the use of lethal weapons.
Vladimir Putin may secretly be on the side of Elon Musk in their indirect debate over the threat posed by artificial intelligence (AI). As Arkady Volozh, the head of Yandex, pitched him on the technology’s potential, the Russian president inquired about when AI ‘will eat us’.
Continue reading “Putin seems unconvinced AI won’t ‘eat us’ — RT News”
- A new study suggests that as many as four million human workers could be replaced by robots over the next decade.
- Robots could replace human workers in up to four million jobs in Britain over the next decade, according to research conducted by UK market research firm YouGov on behalf of the Royal Academy of the Arts.
- Chiefly, businesses have to make sure that the millions of workers who are replaced by robots and other automated systems aren’t left behind.
- Many robots are simply better equipped to perform menial tasks than humans are.
- Robots can raise overall productivity by doing the dirty, difficult, or otherwise unpleasant jobs that human workers would rather avoid.
A new study suggests that robots will replace as many as four million British workers in the next decade. Can we find new roles for these people to fill?
Continue reading “In Ten Years, Robots Could Replace More Than 4 Million Workers”