Evernote on Tuesday announced a new integration with Salesforce.com, driving home Evernote's focus on serving as a cross platform to stay useful and relevant. After launching Evernote for Salesforce in 2013, the productivity app is now connecting its business card scanning feature to Salesforce. Once you've connected your Salesforce account with Evernote, simply take a picture of a business card in Evernote on your iPhone or iPad.* Our highly accurate optical character recognition turns physical business cards into editable business card notes. You then have the option to save the contact details on Salesforce as either a'Lead' or'Contact'.

Scientists have developed a new artificial intelligence software that can turn any smartphone into an eye-tracking device. Eye-tracking technology - which can determine where in a visual scene people are directing their gaze - has been widely used in psychological experiments and marketing research, but the required pricey hardware has kept it from finding consumer applications. In addition to making existing applications of eye-tracking technology more accessible, the system developed by researchers at Massachusetts Institute of Technology (MIT) and University of Georgia may enable new computer interfaces or help detect signs of incipient neurological disease or mental illness. "Since few people have the external devices, there is no big incentive to develop applications for them," said Aditya Khosla, an MIT graduate student. "Since there are no applications, there's no incentive for people to buy the devices.

This free evening talk will explore the fields of Deep Learning and Computer Vision, using lie detection from video as an example. Nick studied Computer science at Imperial College before moving to the industry to work as a Data Scientist. He is active in the London startup scene and is interested in the role technology plays in our emotional wellbeing. He is an advocate of designing for happiness. If you are interested in progressing further with Machine Learning and Data Learning, learn more at the Data Science Bootcamp in Python.

On Monday Apple showed off a string of new iPhone features powered by recent advances in artificial intelligence--many of them aping ones already launched by rival Google. But Apple's announcements of features like facial recognition or software that knows what's in your photos, made during its annual Worldwide Developer Conference, were distinct in how much they emphasized privacy. Craig Federighi, senior vice president of software engineering at Apple, repeatedly stated that machine-learning algorithms able to understand personal data such as photos are being used only within the confines of a person's iPhone, not on Apple's cloud servers. "We believe you should have great features and great privacy," he said. A new version of Apple's Photos app, coming this fall with a new version of Apple's mobile operating system, will use facial recognition to maintain virtual albums of snaps containing people you frequently photograph.

Boston: In a latest discovery by the scientists, including one of Indian-origin, have developed artificial software that can turn smartphone in to an eye tracking device. Eye-tracking technology - which can determine where in a visual scene people are directing their gaze - has been widely used in psychological experiments and marketing research, but the required pricey hardware has kept it from finding consumer applications. In addition to making existing applications of eye-tracking technology more accessible, the system developed by researchers at Massachusetts Institute of Technology (MIT) and University of Georgia may enable new computer interfaces or help detect signs of incipient neurological disease or mental illness. "Since few people have the external devices, there is no big incentive to develop applications for them," said Aditya Khosla, an MIT graduate student. "Since there are no applications, there's no incentive for people to buy the devices.

If you follow me on Snapchat (msuster) you might already know that I've been looking at and investing in a number of companies in the computer vision space. My thesis is that it will become a major I/O computing metaphor or as this field is sometimes referred to HCI (human-computer interaction). Today I am so excited to announce our latest investment in the category -- Nanit -- which is a smart baby monitor. The objective behind Nanit is to help parent "sleep more and monitor less." By using computer vision Nanit is able to better help parents understand how well a child is sleeping and if they're having difficulties what the causes may be (sound, ambient light, temperature or even, gasp, too much parental interference).

Scientists, including one of Indian-origin, have developed a new artificial intelligence software that can turn any smartphone into an eye-tracking device. Eye-tracking technology - which can determine where in a visual scene people are directing their gaze - has been widely used in psychological experiments and marketing research, but the required pricey hardware has kept it from finding consumer applications. In addition to making existing applications of eye-tracking technology more accessible, the system developed by researchers at Massachusetts Institute of Technology (MIT) and University of Georgia may enable new computer interfaces or help detect signs of incipient neurological disease or mental illness. "Since few people have the external devices, there is no big incentive to develop applications for them," said Aditya Khosla, an MIT graduate student. "Since there are no applications, there's no incentive for people to buy the devices.

Boston: Scientists, including one of Indian-origin, have developed a new artificial intelligence software that can turn any smartphone into an eye-tracking device. Eye-tracking technology - which can determine where in a visual scene people are directing their gaze - has been widely used in psychological experiments and marketing research, but the required pricey hardware has kept it from finding consumer applications. In addition to making existing applications of eye-tracking technology more accessible, the system developed by researchers at Massachusetts Institute of Technology (MIT) and University of Georgia may enable new computer interfaces or help detect signs of incipient neurological disease or mental illness. "Since few people have the external devices, there is no big incentive to develop applications for them," said Aditya Khosla, an MIT graduate student. "Since there are no applications, there's no incentive for people to buy the devices.

Industrial companies are confronted with several new trends that will fundamentally change production and logistics processes. For example, the term "Industry 4.0," which was coined in Germany, stands for the digital networking of people, objects, and systems to create integrated production processes. In international jargon, it is referred to as the Industrial Internet of Things (IIoT). All technologies, systems, and components that are involved in the industrial value creation process are connected to each other as well as to company networks and the internet. Smart factory is another trend that forms a part of the IIoT development.

What do you think of when someone says "AI" or "Artificial Intelligence"? For most of us, it conjures up an image of the future. It doesn't much evoke the here and now. Artificial intelligence is already out of the box. And while it might not be as slick as the movies, it has vast applications in almost every field, from business to medicine, traffic jams to Facebook photos.