If you take your craft seriously, the odds of having heard these words are quite high. Audiences associate good images with great cameras, and for the longest time, this (almost) accusation has bothered photographers who felt their skills were downplayed. The interesting bit is that we’re walking towards making the “great cameras = great photos” equation true! And they fit in your pocket.
Search Results for: artificial intelligence
April’s fools is a day of fun but also a day of caution for anyone getting near the internet. If you look at some of the past jokes, you’ll see that some of them came true. (Heck, DIYP once got the world to believe that we own the term Bokeh.)
If you are not sure if you are seeing a real new story or being hoaxed, head here and check to see if we covered this joke. Check back as this page updates every 30 minutes. Did we miss anything? let us know.
Yes, the Japanese company, Fujifilm Holdings, which makes everything from cameras to makeup is acquiring Xerox in a $6.1 billion deal. The merger is reported to have a combined revenue of $18 billion. The two companies have been partners under the brand Fuji Xerox for over 50 years, but now Fuji will become the majority stakeholder in the American company, made famous by its photocopiers.
Not long ago, Google introduced Clips, an AI-powered camera trained to capture the best moments of your life. It has no LCD screen and there’s only a shutter button, which is completely optional. Google Clips uses artificial intelligence to recognize and save your “perfect moments” itself. But how is it possible? According to Google, it’s because they hired “a documentary filmmaker, a photojournalist, and a fine arts photographer” to help train the camera’s neural network.
Although artificial intelligence can be impressive, sometimes we get to witness that it’s not always the case. You may remember that time when the Google Photos app tagged a couple of African Americans as “gorillas.” After an apology and a promise it would fix it, Google indeed “fixed it.” It simply removed the label “gorilla” from its lexicon, along with some other words.
There have been a lot of positive. useful and sometimes amusing stories about various image AI & machine learning systems over the past couple of years. There have also been some that are either quite creepy or simply the stuff of nightmares. Whatever you use image recognition AI for, though, it seems it can be easily fooled, with a little bit of work.
A team at MIT’s Computer Science and Artificial Intelligence Laboratoy (CSAIL) these systems are even easier to fool than they thought. In a new paper, they’ve developed a system that is up to 1,000 times faster than existing methods. And it works with “black box” systems, too – these are closed source systems to which a hacker has no access to the code.
Artificial intelligence is developing fast and has many possible applications. However, it makes mistakes, and this has proven to be a problem for London’s Metropolitan Police. They use AI to detect incriminating images on seized electronic devices. But, it’s unreliable when it comes to nudity, as it still can’t tell the difference between a nude photo and a photo of a desert.
The scientists of Max Planck Institute for Intelligent Systems in Germany have developed a new algorithm. It enhances low-res images so that they miraculously become hi-res and sharp. It only needs a single low-resolution input, and it will increase its resolution while retaining the realistic textures and details.