Although Computer Vision (CV) has only exploded recently (the breakthrough moment happened in 2012 when AlexNet won ImageNet), it certainly isn't a new scientific field. Computer scientists around the world have been trying to find ways to make machines extract meaning from visual data for about 60 years now, and the history of Computer Vision, which most people don't know much about, is deeply fascinating. In this article, I'll try to shed some light on how modern CV systems, powered primarily by convolutional neural networks, came to be. I'll start with a work that came out in the late 1950s and has nothing to do with software engineering or software testing. One of the most influential papers in Computer Vision was published by two neurophysiologists -- David Hubel and Torsten Wiesel -- in 1959.

The next time you get sick, your care may involve a form of the technology people use to navigate road trips or pick the right vacuum cleaner online. Artificial intelligence is spreading into health care, often as software or a computer program capable of learning from large amounts of data and making predictions to guide care or help patients. It already detects an eye disease tied to diabetes and does other behind-the-scenes work like helping doctors interpret MRI scans and other imaging tests for some forms of cancer. Now, parts of the health system are starting to use it directly with patients. During some clinic and telemedicine appointments, AI-powered software asks patients initial questions about their symptoms that physicians or nurses normally pose.

ML6 technology is being used to stop wine being wasted. ML6 might sound like a spy agency but it does not want to be a secret service – this young, Dutch business wants to blow open the mysteries of machine learning and show companies within multiple industries how data can solve their challenges. From allowing financial services to detect fraudulent transactions to improving cancer diagnosis, ML6's self-learning solutions aim to help leading businesses and give them the competitive edge they need. 'We help companies that struggle with unlocking their data in an intelligent way,' says Steyn Heskes, country lead in the Netherlands. 'However, we also partner with industry front-runners who want to use state-of-the-art machine learning to stay ahead.

The City of Tampere in Finland and Tieto, a leading Nordic IT services and software company based in Espoo, have developed a solution that uses artificial intelligence (AI) and Internet of Things (IoT) technology to improve the safety of pedestrians in urban traffic. Global urbanisation increases the number of people on the move in metropolitan areas, but as road traffic increases, so does the risk of accidents, especially at intersections, with the risk of injury and death being especially high for pedestrians. To increase the safety of urban traffic and prevent accidents, the City of Tampere and Tieto have built a pilot system that uses AI and IoT technology to automatically detect when a pedestrian is planning to cross the street at an intersection. Then an alert can be relayed to automatic traffic signs, and in the future directly to vehicles themselves, providing a key building block for connected and autonomous transport. Developed as a part of the Smart Tampere development program's 6Aika CityIoT project, the pilot system has been built in such a way that prevents the identification of individuals or vehicles to comply with the country's strict privacy laws.

Artificial intelligence: Safety and Security is a timely and ambitious edited volume. It comprises 28 chapters organized under three distinct themes: security, artificial intelligence and safety. Edited by Roman V. Yampolskiy, the contributions are well integrated and challenge common conceptions. Yampolskiy has assembled a diverse team of leading scholars. In sum, the book provides valuable insight into the cyber ecosystem. It can be read in any order without missing the essence of the subject matter, yet the chapters speak to each other. The chapters provide insight into new research areas and experimental designs. The book is a must-read for computer scientists, security experts, mathematicians, students and individuals who are interested in learning more about the progress of the artificial intelligence field. It will also be of interest to hackers and the intelligence community.

The next time you get sick, your care may involve a form of the technology people use to navigate road trips or pick the right vacuum cleaner online. Artificial intelligence is spreading into health care, often as software or a computer program capable of learning from large amounts of data and making predictions to guide care or help patients. It already detects an eye disease tied to diabetes and does other behind-the-scenes work like helping doctors interpret MRI scans and other imaging tests for some forms of cancer. Now, parts of the health system are starting to use it directly with patients. During some clinic and telemedicine appointments, AI-powered software asks patients initial questions about their symptoms that physicians or nurses normally pose.

In opening yesterday's AI and the Work of the Future Congress, MIT Professor Daniela Rus presented diverging views of how artificial intelligence will impact jobs worldwide. By automating certain menial tasks, experts think AI is poised to improve human quality of life, boost profits, and create jobs, said Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science. Rus then quoted a World Economic Forum study estimating AI could help create 133 million new jobs worldwide over the next five years. Juxtaposing this optimistic view, however, she noted a recent survey that found about two-thirds of Americans believe machines will soon rob humans of their careers. The economists, who predict greater productivity and new jobs?

Wangchuk, who inspired Aamir Khan's character Phunsukh Wangdu in the film 3 Idiots, is the founding director of the Students' Educational and Cultural Movement of Ladakh (SECMOL). Wangchuk said that SEMCOL was founded in 1988 by students who were, "victims of an alien education system foisted on Ladakh." He has set up the campus in Ladakh that runs on solar energy and uses no fossil fuels for lighting, cooking, or heating. Talking about his courtship with innovation, he said, "I grew up in a place where innovation was all around and without it, life wouldn't have been possible." "I saw how in the trans-Himalayan cold desert of Ladakh where temperatures reach minus 30 degrees, our ancestors not only survived but also contributed to the thriving inter-mingled civilisations. So, the freezing winters were not something to fear but something to look forward to – the hard work of ploughing, farming, winnowing, and thrashing, became in the carrying out of these processes, a community festival," he added.

The next time you get sick, your care may involve a form of the technology people use to navigate road trips or pick the right vacuum cleaner online. Artificial intelligence is spreading into health care, often as software or a computer program capable of learning from large amounts of data and making predictions to guide care or help patients. It already detects an eye disease tied to diabetes and does other behind-the-scenes work like helping doctors interpret MRI scans and other imaging tests for some forms of cancer. Now, parts of the health system are starting to use it directly with patients. During some clinic and telemedicine appointments, AI-powered software asks patients initial questions about their symptoms that physicians or nurses normally pose.