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How artificial intelligence is set to revolutionise driving

#artificialintelligence

Smart, connected cars might well be poised to make motor transportation more fuel and time efficient โ€“ as well as safer โ€“ but that doesn't mean the cars of tomorrow won't be exciting. The RS 7 Sportback piloted driving concept is a 560hp five-door coupe with a top speed of 305kph (189.5mph). Audi has already showcased this luxury machine at Germany's Hockenheim circuit and the Ascari Race Resort โ€“ at race pace and without a human at the controls. On track, this RS 7 can apply full throttle on straights, and creates up to 1.1 g of lateral acceleration when cornering. With precisely measured braking ahead of bends, it can produce g-forces of 1.3 g. Turning is smooth and follows a flawless racing line.


Intel Outside as Other Companies Prosper from AI Chips

#artificialintelligence

Back in 1997, Andy Grove, then chief executive officer of Intel, became one of the first corporate titans to embrace the teachings of Harvard Business School professor Clayton Christensen. Sensing that Intel might be undercut by PC chip rivals with cheaper wares, Grove invited Christensen to speak to his team about industrial leaders of the past who had waited too long to address emerging threats. Within a few quarters, Intel had brought out a line of lower-end Celeron chips for PCs, which pretty much smashed the dreams of Intel wannabes such as Advanced Micro Devices. Intel is no longer a case study in adaptability. On the contrary, it has whiffed in the market for mobile chips used in smartphones and tablets, by far the largest new opportunity for chip makers in the past 10 years.


Google health tools aim to make it easier to self-diagnose

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


'Speak to your loved ones AFTER they die': Expert says we can all become immortal by uploading our minds to machines

Daily Mail - Science & tech

A world where you can download your personality on to a computer to create your own avatar may sound like something from a science fiction novel. But according to Dr Michio Kaku, this'immortal world' could soon be a reality. He claims that soon we will be able to go to speak to loved even after they die, by keeping them alive through virtual reality. Dr Kaku was born in California on 24 January 1947. He led a distinguished academic career, attending Harvard University and the University of California, Berkely โ€“ where he received his PhD in 1972.


Twitter buys Magic Pony, a startup that uses robots to scan pictures

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


Implementing your own recommender systems in Python by Agnes Jรณhannsdรณttir

#artificialintelligence

Nowadays, recommender systems are used to personalize your experience on the web, telling you what to buy, where to eat or even who you should be friends with. People's tastes vary, but generally follow patterns. People tend to like things that are similar to other things they like, and they tend to have similar taste as other people they are close with. Recommender systems try to capture these patterns to help predict what else you might like. E-commerce, social media, video and online news platforms have been actively deploying their own recommender systems to help their customers to choose products more efficiently, which serves win-win strategy.


Your Next Assistant Will Know You Better Than You Know Yourself

#artificialintelligence

It's also an example of a deceptively straightforward question that reveals the challenges and potential of artificial intelligence in travel. You make thousands of decisions in the course of planning a trip, not always consciously. For instance, you might have a preference for aisle seats, but an even stronger preference to avoid aisle seats close to the lavatory. So when selecting your seat on a flight, you intuitively look for ones that are on the aisle and far from the back of the cabin. It's a relatively simple thought process, one that you've probably gone through hundreds of times before.


Airobotics raises 28.5M to pursue autonomous drone platforms for heavy industry

#artificialintelligence

Drones have numerous applications in security, inspection, and other major roles at industrial facilities, but in many cases manual control is still the standard. Tel Aviv-based Airobotics aims to automate the process as an alternative to costly and involved human pilots, and has raised 28.5 million to do so. The company's solution is to provide hardware and software focused on needs specific to industry -- this isn't a drone for filming concerts or monitoring brush fires, it's for on-location missions like perimeter patrols and regular safety inspections. Of course, humans do that stuff now for the most part. But if a drone can take temperature readings of vents from 50 feet out, and check all of them every hour, why employ a full-time worker? Well, actually, because at some point you need to have human involvement -- but it doesn't need to be quite so hands-on all the time.


Robots 'will make majority of humans unemployed within 30 years'

#artificialintelligence

The pace at which robots and intelligent machines are able to take over the jobs traditionally performed by humans will result in more than half the population being unemployed within 30 years, an expert in computing has predicted. While some may look forward to a life of leisure, many others face the dismal prospect of long-term unemployment as a result of the rise of smart machines, from self-driving cars and intelligent drones to smart financial-trading machines, said Moshe Vardi, professor of computational engineering at Rice University in Houston, Texas. Speaking at the American Association for the Advancement of Science (AAAS) annual meeting in Washington, Professor Vardi predicted that developments in robotics and artificial intelligence will create a workplace revolution unlike any other seen since the start of the industrial age more than two centuries ago. "We are approaching a time when machines will be able to outperform humans at almost any task. I believe that society needs to confront this question before it is upon us," Professor Vardi said. "I do believe that, by 2045, machines will be able to do a very significant fraction of the work a man can do.


Artificial intelligence achieves near-human performance in diagnosing breast cancer

#artificialintelligence

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. "This approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks, in a process which is thought to show similarities with the learning process that occurs in layers of neurons in the brain's neocortex, the region where thinking occurs."