This Boring Selfie Algorithm is Far Behind Facebook AI and Google Smart Reply - http://clapway.com/2015/12/17/this-boring-selfie-algorithm-cant-beat-facebook-ai-123/

MIT Computer Science and Artificial Intelligence Lab has created a ‘boring selfie algorithm. It can predict how memorable your picture is. The science behind it makes it as accurate as a pair of human eyes. When compared to other existing algorithms, Memnet performed 30% more closely to humans.

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MemNet Uses A Heat Map to Highlight What Parts of a Selfie Are Memorable

A demo of the algorithm is already live on the internet. Here, users can upload their selfies and get a ‘memorability score’ for it. The algorithm uses a heat map to shows which parts of the selfie are forgettable. It also shows which are not. The MIT team behind this algorithm published a paper that details their approach to image memorability at a large scale. They hope this tool will help researchers and people understand how visual information is processed.

The Boring Selfie Algorithm Will Be Releasing an App in the Future

The team consisted of Aditya Koshla, Akhil S. Raju, Antonio Torralba and Aude Oliva. They are looking to also find out the effect of photo filters on image memorability. Why and how does airbrushing make a shot more ‘photogenic’? In the future, this algorithm will be able to predict which filters and tweaks make an image more memorable.

This New Technology Will Change Ad and Marketing Content

The first application for this kind of tool is for marketing and advertising. This will help these firms catch people’s attention by structuring ads in a way that ensures memorability. This could also go into the medical field. Doctors and physicians could use it to improve memory and diagnose any issues with it.

MemNet: The Boring Selfie Algorithm

MemNet was created from deep learning AI techniques. It analyzed thousands of tagged images from a series of different data sets. These images were filtered to highlight emotional impact as well as popularity. The main data set, LaMem, was also published by the research team. This is in hopes that other groups will study the subject and advance the technology.

This Algorithm Proves that Exposed Body Parts and Faces Tend to Be More Memorable

Koshla confirmed that the algorithm noticed that certain exposed body parts and faces are more memorable. On the other hand, landscapes like beaches or the horizon tended to be very forgettable. Maybe because the internet is full of them, and people may be desensitized to outdoor scenes.

The strategy of the research was simple. The team took a group of people and showed them a series of pictures. They were then asked to press a button when they saw an image they’d seen before. From this, the team created the memorability score that trained the boring selfie algorithm. The team brought in 5,000 people from the Amazon Mechanical Turk crowdsourcing platform to look at a series of images. Each image on the LaMem dataset was viewed 80 times on average.

Boring Selfie Algorithm Isn’t Perfect

The algorithm has been trained to find memorability on natural images, so it’s not very efficient when it comes to logos and line drawings. In the future, the team hopes to train the algorithm to predict memorability when it comes to colors and fonts in logos, which would extend its commercial uses. For now, the team is focusing on faces. The MIT team has previous experience with face memorability, and they made an algorithm for it in the past, but this takes things to a broader and slightly higher scale. The team hopes that MemNet will be able to predict the memory of specific people. It will also be developed to cater to their needs, like logo design and retail in the fashion industry.

For now, the team is all about faces. The MIT team has experience with face memorability, and they made an algorithm for it in the past. MemNet takes things to the next level. The team hopes that MemNet will be able to predict the memory of specific people. It will also be made to cater to specific needs, like logo design and retail in the fashion industry.

How Does this Fare Against the Facebook AI?

Naturally, this algorithm is miles away from Mark Zuckerberg’s Facebook AI. This is for obvious reasons. However, the project has plenty of promise. It’s possible that Facebook itself acquires this kind of technology to better market their brand to the world.

Read: Facebook AI Surpasses Microsoft AI

Read: Facebook gives Prostitutes, Gays, and Drag Queens More Power

This Boring Selfie Algorithm is Far Behind Facebook AI and Google Smart Reply

Open AI Will Go Head to Head With Facebook AI and Google AI - http://clapway.com/2015/12/16/open-ai-will-go-head-to-head-with-facebook-ai-and-google-ai-123/

Elon Musk and other Silicon Valley juggernauts are making a billion-dollar investment in Open AI, which is a non-profit company that doubles as a research lab. As the name would suggest, the company focuses on artificial intelligence research.

Is Tesla’s Next Target Artificial Intelligence?

People from all walks of life are coming together to invest in the research for artificial intelligence. Most are focused on molding it so it helps humans, like the self-driving car or supercomputers. But Open AI is focusing on finding out just how much good it can do, and how much bad.

Open AI Has Free Range to Investigate the Power of Artificial Intelligence

The new company has no financial obligations to their investors, so they intend to spend all of their time figuring out the extent of the damage that it can do. Open AI believe that AI should be helpful to humans, but should also have some kind of liberty. There are obviously dangerous implications with this kind of intent, as most sci-fi content has proven. Other backers for the company include Reid Hoffman, who co-founded LinkedIn, Peter Thiel, Y-Combinator, and Amazon Web Services.

This AI Could Even Be Used for Weapon Development and Military Capabilities

The danger with this kind of company is that it could go as far as becoming a nuclear weapon. It is a big leap from what AIs are now. Facebook and Google have given artificial intelligence a good-natured face, but this kind of effort may take it a bit too far.

Autonomous weapons aren’t a far-fetched idea, but they are a dangerous one. While Facebook and Google are focusing on understanding deep learning technology to aid the human experiences, Elon Musk is looking to find out how far it can be taken. They aren’t looking to make a profit from it, merely conduct research.

It’s Not Likely That We Hear Anything from Open AI

This kind of venture tends to be a secretive one. We shouldn’t expect to be getting the latest scoop on artificial intelligence in Open AI press releases. It may take decades for the intelligence to be advanced enough to become the stuff of nightmares, but it will inevitably happen.

On the venture, Elon Musk has said that he believes that so long as AI knowledge and technology remain within reach of the people, it really shouldn’t be a problem. The venture is no less dangerous and the risks are no less heavy, but this is a positive notion. Hopefully, experiments conducted at Open AI can find the ways AI can be harmful to people, and also figure out ways to counter any attacks courtesy of this intelligence.

In Twenty Years, AIs Could Be 100% Autonomous

Currently, any kind of artificial intelligence need input from humans in order to function properly. Whether or not this will change is still in debate. Artificial Intelligence is being researched by the most important companies in the world. We don’t expect much to be kept in the dark, but as the technology grows, things could go get covered in a lot of red tape.

Will Open AI Be Open?

Hopefully, Open AI remains with its transparent intentions. With investors like Elon Musk, who have been compared to Tony Stark in regards to his eccentric ventures, it’s likely that Open AI has a very big future ahead of it. It’ll soon enough come to be head to head with Facebook AI and Google AI, if we ever hear about it. This is the first venture to be so blatantly ambiguous about the up and coming technology, and it may get more spotlight than even virtual reality.

Read: Facebook AI Surpasses Microsoft AI

Read: Microsoft AI Will Beat Android, Facebook and Apple in 2016

Read: Facebook’s AI Beats Google’s Smart Reply

https://www.youtube.com/watch?v=btda6infCeQ

 

 

Open AI Will Go Head to Head With Facebook AI and Google AI

Facebook AI Surpasses Microsoft AI - http://clapway.com/2015/12/11/facebook-ai-surpasses-microsoft-ai-123/

The Facebook AI has achieved some tremendous feats: it can read stories, answer questions, play games and it can be taught things. For the latest venture, the Facebook AI is getting some hardware.

Facebook AI Hardware Can Train Neural Networks

The technology is so ahead of other AIs that Facebook even open-sourced the data for the design of the hardware, so other companies can use it as a base code. Facebook teamed up with Nvidia at a large scale to work on the project.

The hardware, nicknamed Big Sur, has eight high-performance GPU boards of up to 33 watts each, making it twice as fast as their previous AI. Not only is it faster, it’s also more versatile and thermal power efficient.

Facebook Wants to Be A Leader in Artificial Intelligence

The goal of this extensive research and development is to make it easier for AI developers all over the world to improve their technology. By putting themselves way ahead of the game, Facebook is allowing other smaller ventures to take their own steps into artificial intelligence. In a rather prideful move, it’s made their blueprint available to huge corporations and small ones alike in order to make the technology accessible to everyone.

Facebook hopes that other companies will join their own R&D team for the Facebook AI, and it’s increasing their investment on GPU hardware by more than three times. They’re encouraging other teams in within Facebook to boost neural network usage onto products and services. All other AIs are underdeveloped in comparison, even though Facebook is only a social media platform. Other giants like Microsoft and Google have very solid AIs; Google’s is even capable of driving a car, but Facebook is painting a much bigger picture. Not only is Facebook involved in virtual reality, but it’s also taking huge step towards the development of artificial intelligence.

 

 

Facebook AI Surpasses Microsoft AI

Mark Zuckerberg Wants to Become an Android - http://clapway.com/2015/11/17/mark-zuckerberg-wants-to-become-an-android123/

In a recent Facebook Q&A, Mark Zuckerberg expressed his desires to develop an AI that is better than humans at using the five primary senses. Could it be that his ultimate goal is to develop artificial intelligence that surpasses human intelligence?

The Five Senses of Facebook’s Future AI

Mark Zuckerberg expressed that Facebook’s goal is to bring an AI that can recognize anything that’s in an image or a video, understand and relay information about it. They’re hoping to develop artificial intelligence that an translate speech to text and vice versa, so it can answer any natural language question it’s asked.

Facebook’s AI has already given the company some trouble, with concerns about the AI being able to recognize users that don’t even belong to the social network via Facebook’s DeepFace facial recognition platform.

Facebook Buys Oculus and Develops AI, What’s Next?

Mark Zuckerberg added that Facebook is developing VR because it’s set to be the next major breakthrough in technology after smartphones, and by acquiring Oculus, Mark Zuckerberg hopes to bring the day that phones are in our pockets and smart glasses on or heads to enable us to see virtual structures, and virtual reality is bound to bring about new ways to live that aren’t possible at the moment.

Is Mark Zuckerberg Fancying Himself An Android?

Under Mark Zuckerberg’s word, there may come the day when humans are part robot and part human. Though there’s probably quite some time to go before that can even be envisioned, Mark Zuckerberg’s words serve as valuable food for thought.

Mark Zuckerberg Wants to Become an Android

Google Smart Reply Tool Will Kill Jobs - http://clapway.com/2015/11/06/google-smart-reply-will-kill-jobs123/

The new Google Smart Reply tool is a beautiful thing for people who are too busy to write a short reply to their emails, but it’s also something that puts jobs at risk. There are entire jobs that revolve around work like answering emails; assistants, personal or executive, receptionists and secretaries depend on this kind of work for their salaries. It’s possible that as Google’s AI features grow and develop, it’s possible that jobs in the executive world will decimate.

Fast-forward two to five years, and not the Google Smart Reply, but Google’s AI could be your assistant. The company’s increasing efforts to make things that can think, work, and plan for themselves is surely to make our lives easier, but it could make the lives of other increasingly difficult.

The Google Smart Reply tool shows the importance of learning programming, and adapting to the times. It’s possible that all jobs one day revolve around robotics, programming and learning coding languages, so it’s best that we start to measure up to it now while we still have time. Google, Facebook and Apple are coming for our jobs, and at the rate that technology is evolving, it’s only in our best interest to catch up and face the music before it comes chasing after us.

Google Smart Reply Tool Will Kill Jobs

Facebook"s AI Beats Google"s Smart Reply - http://clapway.com/2015/11/05/facebooks-ai-beats-googles-smart-reply123/

After releasing a statement on its artificial intelligence development efforts, Facebook’s AI looks like it’ll kick Google’s Smart Reply right to the curb. Chief Technological Officer Mike Schroepfer took to to the Facebook newsroom to announce the latest in Facebook’s AI, including not only a function that allows Facebook to become accessible to the blind, but the ability for the AI to understand language, but also recognize objects, make predictions and make planning.

Among the most surprising revelations were just how accurately Facebook’s AI an not only understand and recognize language, but it can also recognize images. The system, called Memory Networds or MemNets, can read and answer questions about short texts. Similarly to Google’s new Smart Reply Tool, the system can read text, understand, and devise a way to respond. But unlike Google’s Smart Reply Tool, it cannot recognize images. Facebook’s AI allows users to even ask it what’s in a photo, and the artificial intelligence answers simply and accurately.

Additionally, Facebook’s AI will have object detection integrated into its systems. The new upcoming system would segment images 30% faster than any other artificial intelligence using 10 times less data.

All things point to the fact that Facebook is measuring up to both Google and Apple in terms of artificial intelligence, a tool that has become increasingly smart and useful for all consumers. It’s yet to be seen what the competing companies will bring to the table next.

Facebook"s AI Beats Google"s Smart Reply