Group items tagged

"AI is already here. This isn't some future, theoretical technology we are working on. AI machines are already among us. Take for example Microsoft's recent security robot demonstration. Called the K5, these autonomous machines stand 5 feet tall, weigh 300 pounds, and are equipped with HD cameras, sensors, alarms, Wi-Fi and - you guessed it - artificial intelligence. These machines have been programmed to recognize if something is out of place, like an injured employee or a potential trespasser. And as technology improves, the K5 will become more capable of recognizing even smaller discrepancies than humans can."

"While a full move to driverless cars would be Uber's dream scenario, letting it cut the cost of a ride to little more than fuel plus wear and tear, it could very well be a nightmare for car manufacturers. Self-driving cars could prove the death-knell for private car ownership, with services like Uber offering a cheap substitution while avoiding the wastefulness of leaving an asset worth thousands of pounds sit unused on the side of the road."

"But the bigger problem with things like public tweets is that no-one knows what information can be derived from them, either now or in the future. I write as a data analyst who's done a fair bit of work with this kind of material. What follows are a few techniques that aren't at all obvious to the average Twitter user. They go far beyond reading the surface text (or metadata) of an individual tweet. And these are just some of the techniques currently used to mine this data, ethically or unethically, legally or illegally."

"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."

"Atlas is a semi-autonomous system. The operator tells the robot where to be and what position to take, such as where to put its hands on a vacuum cleaner, and then the robot comes up with a plan of how to do that. For some chores Atlas's actions are logical and human-like. Others require re-thinking of how to get the job done in a way that its quite different to the way a person would perform the action."

"Researchers at Incapsula have discovered a botnet that runs on compromised CCTV cameras. There are hundreds of millions, if not billions, of these in the field, and like many Internet of Things devices, their security is an afterthought and not fit for purpose. "

"Lyft announced Monday that it has partnered with automotive giant General Motors to create a network of self-driving cars that will one day in the distant (or not-too-distant future) be able to pick up and drop off passengers at the touch of a button on our phones - and likely put many of its drivers out of work."

""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."

"But researchers at New York University's AI Now Institute have issued a strong warning against not only ubiquitous facial recognition, but its more sinister cousin: so-called affect recognition, technology that claims it can find hidden meaning in the shape of your nose, the contours of your mouth, and the way you smile. If that sounds like something dredged up from the 19th century, that's because it sort of is."

"The algorithmic manager seems to watch everything you do. Ride-hailing platforms track a variety of personalized statistics, including ride acceptance rates, cancellation rates, hours spent logged in to the app and trips completed. And they display selected statistics to individual drivers as motivating tools, like "You're in the top 10 percent of partners!" Uber uses the accelerometer in drivers' phones along with GPS and gyroscope to give them safe driving reports, tracking their performance in granular detail. One driver posted to a forum that a grade of 210 out of 247 "smooth accelerations" earned a "Great work!" from the boss."

"About two years ago the retail team lost another key task: negotiating with major brands and manufacturers the terms of popular sales on the site called "Lightning Deals." Common during the holidays as well as Mother's Day and Father's Day, they help move lots of inventory in a short period. Now, instead of calling their vendor manager at Amazon, the makers of handbags, smartphone accessories and other products simply logged into an Amazon portal that would determine if Amazon liked the deal being offered and the quantity it was willing to buy. No small talk. No give and take. Thousands of Amazon man hours spent forecasting demand, planning marketing strategies and negotiating deals was now handled by software, a major leap in efficiency."

"In the fawning media coverage of the Obama campaign's technological prowess, it did not occur to observers at the time to call this a startling invasion of privacy. And it wasn't, or at a very minimum, the privacy risks were arguably outweighed by the benefits. A tool like this could be the future of politics: door-to-door canvassing for the digital age, and a welcome antidote to impersonal broadcast TV ads or a welcome upgrade from getting a phone call from a stranger telling you to vote."

" Critics have pointed out that the old computing adage "garbage in, garbage out" also applies to ML. If the data from which a machine "learns" is biased, then the outputs will reflect those biases. And this could become generalised: we may have created a technology that - however good it is at recommending films you might like - may actually morph into a powerful amplifier of social, economic and cultural inequalities."

"In the meantime, I actually like how most of these islands represent an attempt by education institutions to embrace the weirdness of the web. The current crop of education startups seem bland and antiseptic in comparison to these virtual worlds. I can't take a Coursera class on a pirate ship, or attend office hours in front of an edX campfire. And honestly, that's probably a good thing. But it makes the web slightly less interesting."

"Three software flaws in Facebook's systems allowed hackers to break into user accounts, including those of the top executives Mark Zuckerberg and Sheryl Sandberg, according to two people familiar with the investigation but not allowed to discuss it publicly. Once in, the attackers could have gained access to apps like Spotify, Instagram and hundreds of others that give users a way to log into their systems through Facebook."

"The app, using Solid's decentralized technology, allows Berners-Lee to access all of his data seamlessly-his calendar, his music library, videos, chat, research. It's like a mashup of Google Drive, Microsoft Outlook, Slack, Spotify, and WhatsApp."

"EFF's Legal Director Corynne McSherry offers five lessons to keep in mind: 1. (Lots of) mistakes will be made: copyright takedowns result in the removal of tons of legitimate content. 2. Robots won't help: automated filtering tools like Content ID have been a disaster, and policing copyright with algorithms is a lot easier than policing "bad speech." 3. These systems need to be transparent and have due process. A system that allows for automated instant censorship and slow, manual review of censorship gives a huge advantage to people who want to abuse the system. 4. Punish abuse. The ability to censor other peoples' speech is no joke. If you're careless or malicious in your takedown requests, you should pay a consequence: maybe a fine, maybe being barred form using the takedown system. 5. Voluntary moderation quickly becomes mandatory. Every voluntary effort to stem copyright infringement has been followed by calls to make those efforts mandatory (and expand them)."

"Anouk van Maris, a robot cognition specialist who is researching ethical human-robot interaction, has found that comfort levels with robots vary greatly depending on location and culture. "It depends on what you expect from it. Some people love it, others want to run away as soon as it starts moving," she says. "The advantage of a robot that looks human-like is that people feel more comfortable with it being close to them, and it is easier to communicate with it. The big disadvantage is that you expect it to be able to do human things and it often can't.""

"self-awareness: Columbia engineers created a robot that could figure out what it looked like without any external input. In essence, it could imagine itself"

"There are some things that you can do to protect yourself from falling for a hoax. As the author of the upcoming book "Fake Photos," to be published in August, I'd like to offer a few tips to protect yourself from falling for a hoax."