French scientists say they may have found a potential cause of dyslexia which could be treatable, hidden in tiny cells in the human eye. In a small study they found that most dyslexics had dominant round spots in both eyes - rather than in just one - leading to blurring and confusion. UK experts said the research was "very exciting" and highlighted the link between vision and dyslexia. But they said not all dyslexics were likely to have the same problem. People with dyslexia have difficulties learning to read, spell or write despite normal intelligence.
Ray Kurzweil, Google's Director of Engineering, has maintained his view over the years that AI will reach human intelligence by 2029, but now the search engine expert has said machines will exceed humans intelligence 16 years following that. The point where robots become smarter than humans is known as the'singularity', and that is a little less than two decades away, say experts. The year 2045 will be where AI comes into its own and become the most intelligent species on the planet, according to Mr Kurzweil. He told Futurism: "2029 is the consistent date I have predicted for when an AI will pass a valid Turing test and therefore achieve human levels of intelligence.
Imagine a future where you are regularly stopped and searched by the police, based simply on bad information fed into a computer. That is the fear of one authority on the subject, who is concerned that human biases and errors are being programmed into machine learning systems. Studies have already shown that AI experiments, including predictive policing, demonstrate exaggerated versions of human biases when put into practice. Experts are worried that this could lead to a'toxic' future where machines make bad decisions on our behalf, unless something is done now to prevent it. Imagine a future where you are regularly stopped and searched by the police, based simply on bad information fed into a computer.
From The Terminator to Blade Runner, pop culture has always leaned towards a chilling depiction of artificial intelligence (AI) and our future with AI at the helm. Recent headlines about Facebook panicking because their AI bots developed a language of their own have us hitting the alarm button once again. Should we really feel unsettled with an AI future? News flash: that future is here. If you ask Siri, the helpful assistant who magically lives inside your phone, to read text messages and emails to you, find the nearest pizza place or call your mother for you, then you've made AI a part of your everyday life.
Recommender systems are automated computer programs that match items to users in different contexts. Such systems are ubiquitous and have become an integral part of our daily lives. Examples include recommending products to users on a site like Amazon, recommending content to users visiting a website like Yahoo!, recommending movies to users on a site like Netflix, recommending jobs to users on LinkedIn, and so on. Given the significant heterogeneity in user preferences, providing personalized recommendations is key to the success of such systems. To achieve this goal at scale, using machine learning models to estimate user preference from feedback data is essential.
The debate over whether technology is changing the world for good or bad is unlikely to ever be definitively won by either camp. However, few would argue that technological advances that promise traffic-related deaths dropping from 1.3 million a year to zero could be considered as anything but a positive development. That's exactly what Gill Pratt, chief executive of the Toyota Research Institute, believes will be the result of the impending transition to driverless cars. Using the analogy of two iconic photographs of New York's Fifth Avenue, one taken in 1905 and one in 1913, Pratt believes that this technology-based traffic utopia could happen much more quickly than any of us imagine. Talking at an open doors presentation at Toyota's Brussels R&D centre, Pratt demonstrated how quickly the age of the automobile manifested itself in central New York.
For the past few years, the travel industry has been exploring innovative ways to utilize artificial intelligence (AI), in an effort to unlock the promise of more efficient communications and greater customer service between travelers and service provides. So far, most of that potential has remained largely untapped, despite significant advances in both travel and AI sectors. WayBlazer however, is building an extremely powerful travel recommendation engine, and it's doing it with a little help from AI. WayBlazer's Travel Graph uses artificial intelligence to learn about tens of millions of travel products and thousands of global destinations. It ingests and extracts useful from descriptions, reviews, blogs, images, and videos to develop a frame of travel intelligence that's used to power the most relevant recommendations for today's travelers. By using machine learning models, their travel graph gets smarter with every user search.
White-collar automation has become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work of accountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie--themselves. In a project called AutoML, Google's researchers have taught machine-learning software to build machine-learning software. In some instances, what it comes up with is more powerful and efficient than the best systems the researchers themselves can design. Google says the system recently scored a record 82 percent at categorizing images by their content.
Speaking to the House of Lords Artificial Intelligence Committee, John McNamara, said the technology create a new generation of humans that are'melded' to machines, AI nano-machines could bring huge medical benefits such as repairing damage to cells, muscles and bones. Humans could be'melded' to machines, giving us huge advancements in brain power, experts told peers at the House of Lords Artificial Intelligence Committee (pictured, stock) Growing the Artificial Intelligence Industry in the UK, an independent review of artificial intelligence recommended information about people's health and lifestyles should be opened up to allow major advances to be made in developing artificial intelligence (AI). The report highlighted how health app Your.MD wants access to data sets of anonymised personal health records from the health service in order to improve its free of charge advice service. It also highlighted how health app Your.MD wants access to data sets of anonymised personal health records from the health service in order to improve its free of charge advice service.
The issue lies with a prevalent tactic in AI development called "back propagation". Geoffrey Hinton has been called the "Godfather of Deep Learning". It relates directly to how AIs learn and store information. Since its conception, back propagation algorithms have become the "workhorses" of the majority of AI projects.