UB libraries grant amnesty for overdue books
Have you forgotten about a library book that was due back months ago? Are you afraid to return it because of the fines? The University at Buffalo Libraries understands. For the next month, the university is waiving its fines on overdue books that are …
University at Buffalo offers amnesty for overdue bookswivb.com
The world’s most valuable company crammed a lot into the tablespoon-sized volume of an Apple Watch. There’s GPS, a heart-rate sensor, cellular connectivity, and computing the level of resources not long ago would have filled a desk-dwelling beige box. The wonder contraption doesn’t have a sphygmomanometer for measuring blood pressure or polysomnographic equipment found in a sleep lab–but thanks to machine learning, it might be able to help with their work.
Research presented at the American Heart Association meeting in Anaheim Monday claims that, when paired with the right machine-learning algorithms, the Apple Watch’s heart-rate sensor and step counter can make a fair prediction of whether a person has high blood pressure or sleep apnea, in which breathing stops and starts repeatedly through the night. Both are common–and commonly undiagnosed–conditions links with life-threatening problems, including stroke and heart attack.
The new analyze adds to evidence that the right algorithms might transform the Apple Watch from personal trainer to personal physician. Apple said in September that it is working on a study with Stanford that will test whether the contraption can detect atrial fibrillation, or irregular heartbeat, which can lead to stroke or heart failure. A analyze independent of Apple presented in May has already suggested the answer is yes. And health insurer Aetna said last week that it is partnering with Apple to give Apple Watches to members to try to reduce health costs.
The Apple Watch’s potential to predict high blood pressure and sleep apnea was revealed by a collaboration between University of California San Francisco and a startup called Cardiogram. The company offers an app for coordinating heart-rate data regarding an Apple Watch, and other devices with heart-rate sensors. UCSF provided data from more than 6,000 Apple Watch users enrolled in a study on mobile health. Cardiogram’s founders depicted on their previous experience as Google employees, working on speech recognition for Android telephones and the Google Assistant.
Cardiogram’s engineers took the various kinds of artificial neural networks that Google and others use to turn our speech into text and accommodated them to construe heart-rate and step count data.( Like speech, they are signals that vary over hour .) The system, dubbed DeepHeart, is given strings of heart-rate and step data from multiple people, and information about their health conditions. In May, the company and UCSF released outcomes showing that DeepHeart could figure out how to predict atrial fibrillation from a person’s Apple Watch data. The examine presented Monday shows that with one week of data on a wearer, the algorithms can predict hypertension with approximately 80 percentage accuracy, and sleep apnea with about 90 percent accuracy.
Gardening, birdwatching, stroking your cat whatever it is you like doing, just go for it. Its officially good for you
Its a bleak Monday in January, and you have spent half the morning trying to come up with plausible excuses to get out of doing any run. But I have some good news: the key to a happy life and I know you were wondering about that is, apparently, expending more day on your hobbies.
New research published by the Society for Personality and Social Psychology( and not the Institute of the Completely Obvious, as you may have expected ), says that valuing your time more than the pursuit of money leads to feelings of greater wellbeing. And by valuing your time, they mean spending it wisely on hobbies, exercising or being with your family.
The researchers even devised two characters, Tina and Maggie, and asked people who they preferred money-grubbing sociopath Maggie, who would rather run more hours and attain more fund, or workshy hippy Tina who wanted to work fewer hours and make less cash. The option of working less and attaining more money was strangely absent, although that is of course the obvious answer, as evidenced by the hordes of people who bought lottery tickets this weekend.
My main issue with the research is the concept of adults having hobbies. What are hobbies anyway? Pastimes, indicates my boyfriend, which makes them sound marginally less awful. But is feeing cookies while watching Keeping Up with the Kardashians a pastime? Because if so, I am very serious about it, and presumably I am very happy too, although I wouldnt is well aware, because I have given up my favourite pastime( drinking) for January and perhaps for ever if the governments draconian new guidelines are to be believed.
After all what is the point of being an adult if you cant joyfully cast off hobbies? Most of them not only smack of Victorian ideals of self-improvement, but are basically activities adults induced you do when you were a child so they could get you out of the way for a few hours. If you have been a Brownie or a Scout you will know what I am talking about. Heres what happened when I was a Brownie: I was awarded a badge for collecting scented erasers( a 1980 s pastime if ever there was one) and I was made to do Brown Owls housework, under the guise of gaining another badge.
There are very few hobbies that are acceptable as an adult. None involve mindfulness colouring-in and most are a way of life: drinking, feeing, listening to music, perhaps a little bit of yoga. Of course, there are ways to pass off these everyday activities off as hobbies, mainly by making them as complicated and time-consuming as possible. Cooking is brilliant for this. Simply choose an extremely complex recipe with many obscure ingredients anything by Yotam Ottolenghi is perfect, and I cant recommend Donna Hays beef rendang enough not only do you have to find fresh turmeric, galangal and kaffir lime leaves, it also takes three hours to cook. Bingo!
Pets are also useful. Dogs walks, patently. Cats well, if stroking cats isnt a hobby then I dont know what the world is coming to. Pets with ailments are fantastically time-consuming. My own cat has inflammatory bowel cancer, it turns out. I cant recommend it, but it surely necessitates spending several hundred hours away from my desk and at the vets.
As with so many things, there is an age dimension. Older people questioned for the study were more likely to say they valued their day compared with younger people. This can only be good news pastimes that your friends previously taunted “youre starting” becoming acceptable as you age birdwatching, for example. This seems to be fine after the age of 40. Ditto gardening.
So there you have it. Faff around doing anything you like, genuinely, and you are able even fool yourself into being happier. After all, isnt such studies basically saying that the more time spent away from run the better? Common sense, really.
Read more: www.theguardian.com
By the time Google announces that it pair of Pixel smartphones on Tuesday, the devices had already been leaked everyone to pieces. Shape, sizing, specs; even coloring variants were laid bare by clumsy carriers. In fact, just about the only thing left unknown about the Pixels is what theyll do to the already splintered Android ecosystem.
Google had previously released smartphones, made by a revolving situated of hardware partners, under its Nexus line. But Nexus devices, despite consistent excellence, never amounted to more than a sideshow. Pixel wants to be the main event. And that should make other Android producers very, very nervous.
Android has a problem worth solving. Its a terrific operating system. The latest release, Android Nougat, is both ripen and refined, full of thoughtful and responsive touches that rival anything iOS can offer. If merely anyone could use it.
Two weeks after it started rolling out, Nougat had reached fewer than 0.1 percent of Android devices. In fact, the more popular Android version today remains Android KitKat. It came out in the autumn of 2013.
Android fragmentation is not a new lament, but its an increasingly irksome one. Updates need to route through a complex constraints and obstacles of carriers and manufacturers, if they ever make it at all. Recent hardware releases get left behind; security issues go unpatched. User experience suffers. Its frustrating, for users and Google alike.
Things arent much prettier on the hardware side.
Android has always been a fickle master–it’s been an enabler of a huge chunk of the smartphone market, but with very few exceptions it hasn’t been a driver of significant margins, and the lack of differentiation between Android vendors has created something of a race to the bottom in recent years, says Jan Dawson, chief analyst at Jackdaw Research.
Its a bifurcated marketplace. Samsung predominates the top end, while a raft of low-cost imports scrap it out in the affordable territories. Those who have attempted to occupy the middle, like HTC, have gotten squeezed. An open ecosystem that should promise option has resulted in amazingly little of it.
The fragmented Android ecosystem is very competitive with very low margins, says Anindya Ghose, director of the Center for Business Analytics at NYU Stern. Even Samsung builds only 17 percent margins.
Nexus devices didnt offer Google much redres. The phones were high-quality and competitively priced, but sold primarily through Googles own limited channels .( The exception to this was the giant, Motorola-made Nexus 6, an expensive telephone with carrier partners, released just after Googles brief Motorola ownership. It could be seen as a sort of Pixel trial run .)
More to the point, Nexus phones were built through the partnership agreement with bona fide phone-makers; they were a chance for manufacturers to show off their chops as much as for Google to show off Android. In practise, that meant many Nexus devices felt like repeats of existing third-party hardware–and carried their limitations as well. With Pixel, that changes.
Unlike the Nexus devices, the Pixel is purely Googles vision. The company outsourced manufacturing to HTC, but everything about Pixel is made to Googles exact specifications. Even the tagline, Built by Google , not so subtly reminds that all other Android devices are not. This is as pure a vision of what Google wants in a smartphone as has ever existed.
It also couldnt come at a more critical time. The other tentpoles of Googles Tuesday announcement were Google Assistant, an AI-powered helper that hopes to anticipate your every require, and Daydream, a sleek stab at making virtual reality for the masses. These products, and others like them, arent just Googles future. Theyre the future of personal computing. Those stakes are too high to leave to someone elses design team.
Building hardware and software together lets us take full advantage of capabilities like the Google Assistant, said Rick Osterloh, Googles SVP of hardware. It lets us harness years of expertise weve built up in machine learning and AI to deliver the simple, smart, and fast experiences that our users expect from us.
The inspiration here is clear enough that you could just as easily call it a blueprint. Apples unwavering command over both hardware and software let the iPhone become one of the most successful consumer products in history. The Pixel doesnt just definitely sounds like the iPhone; it aspires to its clone its success as well.
Its the right move. A Pixel smartphone wont simply have the latest Android version and the best camera. Its going to be the spool from which Googles new voice-controlled ecosystem will be threaded. Its meant to be the window through which a generation views virtual worlds.
It is well known that Android can be much better optimized than what it is today, says Ghose. By controlling the hardware, Google can dramatically improve the reliability and consistency of the user experience on Android phones.
All of which is to say that Pixel is serious. And it could be a serious problem for anyone else in the Android business.
Points of Sale
While Pixel smartphones will create a shining example of what an Android device can be, theyll also stimulate life that much harder on anyone else who builds them.
All else equal, an HTC or a Huawei would want to be a true partner rather than simply a contractor, says Ghose. But Google does not want any other manufacturer’s brand to shine on Pixel other than its own.
Being paid as a contractor is better than not making any fund at alla situation with which HTC is painfully familiar. But even then, there are so many Pixel contracts to go around. And everyone else attaining Android devices faces the prospect of being even further behind.
Aside from the obvious under-the-hood benefits of Google controlling both hardware and software, Pixel phones launching as the only smartphones with Google Assistant built in. Thats a genuine point of differentiation, especially as Google pushes its broader ecosystem with Google Home and Chromecast. Pixel phones will be more efficient, more feature-filled, and more broadly incorporated than any other Android competitor, full stop. And theyll continue to be for as long as Google builds them.
The possible upside to all of this is that it will push producers like Samsung and LG and Motorola to innovate and iterate even more aggressively. Weve assured some of that in the laptop space, after Microsoft similarly shook an industry by bringing the Surface Book in-house. In fact, weve already started to see it, whether its modular designs from LG and Motorola or continued hardware excellence–explosions aside–from Samsung.
Google, too, says it will stand by its Android partners. And the committee is also watches Pixel as an innovation engine.
” We want to continue to see the entire Android ecosystem thrive ,” says Google spokesperson Iska Saric.” With these new telephones, we aim to provide the best Google phone experience, which we hope will also contribute to future invention and development of the ecosystem .”
Hardware manufacturers have other options, too. They could embrace an emerging operating system, though Samsungs early adventures with Tizen dont offer much encouragement there. Or they could turn to other product categories for relief, as HTC has virtual reality.
Whatever the future, an already brutal Android ecosystem just got even more so. The Pixel looks great, unless you happen to share its software DNA. Then it looks like a long, slow fade.
Hardware isnt a new area for Google, but now were taking steps to showcase the very best of Google across a family of devices designed and built for us, said Osterloh. This is a natural step, and we’re in it for the long run.
This tale has been updated to include remark from Google .
Both wars and flames were erupted the coming week and finally, we got some proper hour with the crowdpleasers
It was the episode of siblings, if you like a touching Stark reunion, and two beautifully played, piteous scenes between Theon and Yara Greyjoy and Margaery and Loras Tyrell. Or it was the episode well remember for Daenerys Targaryan reigniting her love affair with fire and all its unknowable principles, like whether or not Targaryans are straight-out immune to it or she just get luck repeatedly and why it causes her clothes to burn off yet leave no charred fragments.
But if we want to give this episode a name, we can call it The One Where Series Six Got Good. As much in love with this demonstrate as I am, the first three episodes lacked conflict and impetus. The cruelty of Lord Bolton is a foregone conclusion, and unless you enjoy watching it for its own sake( in which occurrence, you are a bad person) its too predictable. Violence is only dramatic for the split-second potential beforehand that it wont happen. The only split-second potentials before Ramsays actions are whether hes going to stab them in the eye or the testicle.
It helped that we got some proper time with the crowdpleasers: Daenerys, Olenna Tyrell and all the Lannisters except for Jaime, who reminds me of a Blairite MP, always making a face as if hes being reasonable, but so boring in his fundamental belief that you zone out while hes talking and then, tragically, do not know whether he was reasonable or not. The prospect of a great war in Kings Landing, between the forces of the House of Tyrell and the High Sparrow whose adherents are apparently legion enough to match all the riches in the universe, but you only ever ensure them five at a time, fanned out to look more beefy is delightful. For some reason I want to see a lot of monks succumb, and if they could put got a couple of those cement-clad nuns to the sword, thatd be good too.
Read more: www.theguardian.com
Chicago Daily Herald
Books and books and more books
Chicago Daily Herald
Regardless of today's technological revolution, there is no comparison between a tablet or e-reader and a book. Books provide a sensation and look that can't be beat. Well-known author Jorge Luis Borges once said: "I cannot sleep unless I'm surrounded …
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Our machines are littered with security holes, because programmers are human. Humans induce mistakes. In constructing the software that drives these calculating systems, they permit code to run in the wrong place. They let the wrong data into the right place. They let in too much data . All this opens doors through which hackers can attack, and they do.
But even when artificial intelligence supplants those human programmers, dangers remain. AI induces mistakes, too. As described in a new paper from researchers at Google and OpenAI, the artificial intelligence startup lately bootstrapped by Tesla founder Elon Musk, these risks are apparent in the new breed of AI that is rapidly reinventing our calculating systems, and they could be particularly problematic as AI moves into security cameras, sensors, and other devices spread across the physical world.” This is really something that everyone should be thinking about ,” says OpenAI researcher and ex-Googler Ian Goodfellow, who wrote the paper alongside current Google researchers Alexey Kurakin and Samy Bengio.
Seeing What Isn’t There
With the rise of deep neural network–a sort of AI that they are able learn discrete tasks by analyzing vast amounts of data–we’re moving toward a new dynamic where we don’t so much program our computing services as train them . Inside Internet giants like Facebook and Google and Microsoft, this is already starting to happen. Feeding them millions upon millions of photos, Mark Zuckerberg and company are training neural networks to recognize faces on the world’s most popular social network. Using vast collections of spoken word, Google is developing neural nets to identify commands spoken into Android phones. And in the future, this is how we’ll construct our intelligent robots and our self-driving cars.
Today, neural nets are quite good at distinguishing faces and spoken words–not to mention objects, animals, signs, and other written language. But they do attain mistakes–sometimes egregious mistakes.” No machine learning system is perfect ,” says Kurakin. And in some cases, you can actually fool these systems into seeing or hearing things that aren’t really there.
As Kurakin explains, you can subtly alter an image so that a neural network will think it includes something it doesn’t, an these alterations may be imperceptible to the human eye–a handful of pixels added here and the other there. You could change several pixels in a photo of an elephant, he says, and fool a neural net into thinking it’s a car. Researchers like Kurakin call these” adversarial examples .” And they too are security pits.
With their new paper, Kurakin, Bengio, and Goodfellow show that this can be a problem even when a neural network is used to recognize data pulled straight-out from a camera or some other sensor. Imagine a face recognition system that uses a neural network to control access to a top-secret facility. You could fool it into thinking you’re someone who you’re not, Kurakin says, simply by describing some dots on your face.
Goodfellow says this same type of assault could apply to almost any form of machine learning, including not only neural networks but things like decision trees and support vector machines–machine learning methods that have been popular for more than a decade, helping computer systems construct predictions based on data. In fact, he believes that similar attacks are already practised in the real world. Financial firms, he suspects, are likely using them to buffoon trading systems used by competitors.” They could make a few trades designed to fool their competitors into dumping a stock at a lower cost than its true value ,” he says.” And then they could buy the stock up at that low price .”
In their paper, Kurakin and Goodfellow fool neural nets by publishing an adversarial image on a piece of a paper and showing the paper to a camera. But they believe that subtler assaults could work as well, such as the previous dots-on-the-face example.” We don’t know for sure we could do that in the real world, but our research suggests that it’s possible ,” Goodfellow says.” We showed that we can fool a camera, and we think there are all sorts of boulevards of attack, including fooling a face recognition system with markings that wouldn’t be visible to a human .”
A Hard Trick to Pull Off
This is by no means an easy thing to do. But you don’t inevitably need inside knowledge of how the neural network was designed or what data it was developed on to pull it off. As previous research has shown, if you are able build an adversarial example that fools your own neural network, it may also fool others that handle same chore. In other terms, if you are able fool one image recognition system, you can potentially fool another.” You can use another system to craft an adversarial instance ,” Kurakin says.” And that gives you a better opportunity .”
Kurakin makes a point of saying these security holes are small. They are a problem in theory, he says, but in the real world, an attack is difficult to get right. Unless an attacker detects the perfect pattern of dots to put on her face , nothing will happen. Nevertheless, this kind of hole is real. And as neural network play a bigger and bigger role in the modern world, we must plug these pits. How? By constructing better neural networks.
That won’t be easy, but the work is underway. Deep neural net are meant to mimic the web of neurons in the brain. That’s why they’re called neural network. But when it comes down to it, they’re really only math on an enormous scale–layer upon layer of calculus. And this math is organized by humans, researchers like Kurakin and Goodfellow. Ultimately, they control these systems, and they’re already go looking for ways to eliminate these security holes.
One option, Kurakin says, is to incorporate adversarial examples into the training of neural network, to teach them discrepancies between the real and the adversarial image. But researchers are looking at other options as well. And they’re not quite sure what will work and what won’t. As always, it is we humans who must get better.
Iron Man thinks like John Stuart Mill, while Captain America is a Kantian but the real insight comes from the fact that each insures the other sides argument
These days the world feels precarious. It seems we face new threats every day from extremist forces both domestic and international. At the same day, were developing new ways to detect and predict these threats, use advanced surveillance and droning technology to enhance our safety and security but at what cost to our autonomies and liberties? Must we select which of these we value most and give up on the other?
Some of our favorite superheroes can help us think about this timeless conflict. In Marvel Comicss Civil War storyline, the latest movie version of which is released on 6 May, Captain America, Iron Man and the rest of the Marvel heroes face off over the same issues of liberty and security that we face in the real world every day, and they find the answers neither easy nor simple.
As it happens, these very same issues are discussed by moral philosophers in terms of the work of classic figures such as Aristotle, Jeremy Bentham and Immanuel Kant. This attains it irresistible for a doctrine prof who is also a lifelong comics fan to write a bookdrawing out the relationships between the fictional superhero battles in Civil War, the all-too-real conflicts we deal with in the real world, and the underlying philosophical notions they share.
In the narrative, major disasters involving superheroes lead the US government to pass legislation involving all heroes to register with and uncover their secret identities to the government in order to become accountable for their actions. Iron Man results the push to support the new legislation among the superheroes, while Captain America leads a resistance endeavour against it. Naturally, they come to blows throughout the narrative, and they also debate the pros and cons of the legislation and an influence on liberty and security.
Read more: www.theguardian.com
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Cecilia is diagnosed with schizophrenia and experiences frequent hallucinations of a violent buffoon. Afraid others would think she was crazy, Cecilia mutely …
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