Bing has not only grown some eyes, it has begun to learn how to use them. Microsoft's search engine has gained the ability to automatically detect objects within a photo online, the company announced on Sept. 12. The new feature, part of the Bing Visual Search toolset, supplements an existing object recognition tool called Detailed View that allows users to draw a box around an item in a picture and search the web for similar-looking items and related shopping links. Using machine learning, image recognition and other artificial intelligence (AI) technologies, Bing Visual Search can automatically detect items and selects them for the user. Bing has also developed a knack for spotting celebrities.

The pre-trained Inception-v3 model achieves state-of-the-art accuracy for recognizing general objects with 1,000 classes. The model extracts general features from input images in the first part and classifies them based on those features in the second part. We will use this pre-trained model and retrain it to classify houses with or without swimming pools. Upon completion of this journey, you will understand how to load and run a Jupyter Notebook with Nimbix and PowerAI, use transfer learning to leverage the TensorFlow Inception model to create a custom classifier from a set of images, then test and demonstrate the resulting classifier.

Sexism is so deeply ingrained in the way we think about the world, we've actually passed it on to our computers, according to a new University of Virginia and University of Washington study. Artificial intelligence is more likely to label people who are cooking, shopping, and cleaning as women and people who are playing sports, coaching, and shooting as men. UVA computer science professor Vicente Ordóñez got the idea for the experiment when he noticed that his image-recognition software was associating photos of kitchens with women. After training software using two photo collections that researchers use to create image-recognition software, including one supported by Facebook and Microsoft, he and his colleagues found that not only do these collections contain gender bias--they multiply that bias when they pass it on to the software. The program these photo sets produced actually labeled a man a "woman" because he was standing by a stove.

Advances in artificial intelligence mean applications increasingly can take on image recognition capabilities that allow them to identify objects, detect the age of human faces and screen out adult content. The Department of Homeland Security has worked for several years to implement a biometric monitoring system to verify travelers in U.S. airports, and they recently found success with a Customs and Border Protection pilot. The system uses facial recognition software to compare photos of passengers against a database, allowing DHS officials to identify travelers who have overstayed visas or are wanted in criminal investigations. These developments underscore the need for the government to remain abreast of ways to manage complex technology and maintain standards of living. Image recognition software has real-world implications for local governments and can help officials efficiently integrate and manage assets.

What is Image Recognition and why is it Used? In the context of machine vision, image recognition is the capability of a software to identify people, places, objects, actions and writing in images. To achieve image recognition, the computers can utilise machine vision technologies in combination with artificial intelligence software and a camera. While it is very easy for human and animal brains to recognize objects, the computers have difficulty with the same task. When we look at something like a tree or a car or our friend, we usually don't have to study it consciously before we can tell what it is.

BIG BLUE IBM has beaten Microsoft's AI image recognition accuracy record by developing distributed deep learning (DDL) software. IBM said that, given any random image from a set of 7.5 million pictures from ImageNet-22K database, the trained AI model achieved 33.8 per cent accuracy, trumping the previous record of 29.8 per cent set by Microsoft back in October 2014. What's more, IBM's system managed to achieve this in seven hours, while the process that allowed Microsoft to set the previous record took 10 days to complete. According to IBM, this is a "milestone in making Deep Learning much more practical at scale--to train AI models using millions of photos, drawings or even medical images--by dramatically increasing the speed and making significant gains in image recognition accuracy possible as evidenced in IBM's initial results." IBM smashed Microsoft's record by developing creating DDL software to help GPUs talk to each other.

Online marketplace eBay today unveiled two upcoming search options featuring images. Find It On eBay and Image Search are both coming this fall to the eBay app and mobile platform. The new features take advantage of machine-learning to allow shoppers the use of images when searching for matching items.The first feature, Find It On eBay, designed to leverage social media advertising and the covetous nature of fashion aficionados takes advantage of the share feature in apps. This lets users share an image to the eBay app where it will then compile a list of related objects. This is gonna save collectors a lot of time.

Microsoft's upcoming Photos app is getting AI image search so that it can spot and classify objects, much like Google Photos and Apple Photos can. Spotted by Windows Central, the latest Insider Preview version of the app now has a search bar that you can use to enter terms like "flower," "wine bottle," and "bar." It will then use a cloud-based image recognition algorithm to pick and sort out those items in your photo collection, much as the rival apps do. The first time you use it, the Microsoft Photos will index everything, a process that takes about a second per image, Windows Central notes. Afterwards, all the indexing is stored locally, so you can search and sort by objects, colors and other terms very rapidly.

The online auction site has announced two new high-tech features called'Find It On eBay' and'Image Search' that will use artificial intelligence to find listings of a pictured item, or other available products that look just like it. The new function will roll out this fall on both the website and iOS and Android mobile apps. The online auction site just announced two new high-tech features called'Find It On eBay' and'Image Search' that will use artificial intelligence to find listings of a pictured item or other available products that look just like it Using eBay's new image search is very simple. Just snap a photo of something you want to buy or upload one from your camera roll. The program will automatically sift through all the listings on the site to find the item or ones just like it.

Next time you see a cute pair of shoes or a cool shirt you'd like to buy, snap a picture or take a screenshot. "Find It On eBay" gives you the power to share images straight from any social network or website to the online shopping platform's application. Just choose the website's logo with the "Find it now" tag line, click "search using this image" when it pops up and highlight the part of the photo you want to look up. The other feature that's simply called "Image Search" gives you the power to look for items using photos you've taken or saved on your device. Both tools make it much easier to find listings when you're looking for something really specific or looking up something you have no idea how to describe -- hey, it happens to everyone.