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I do love Nvidia!


During the past nine months, an Nvidia engineering team built a self-driving car with one camera, one Drive-PX embedded computer and only 72 hours of training data. Nvidia published an academic preprint of the results of the DAVE2 project entitled End to End Learning for Self-Driving Cars on arXiv.org hosted by the Cornell Research Library.

The Nvidia project called DAVE2 is named after a 10-year-old Defense Advanced Research Projects Agency (DARPA) project known as DARPA Autonomous Vehicle (DAVE). Although neural networks and autonomous vehicles seem like a just-invented-now technology, researchers such as Google’s Geoffrey Hinton, Facebook’s Yann Lecune and the University of Montreal’s Yoshua Bengio have collaboratively researched this branch of artificial intelligence for more than two decades. And the DARPA DAVE project application of neural network-based autonomous vehicles was preceded by the ALVINN project developed at Carnegie Mellon in 1989. What has changed is GPUs have made building on their research economically feasible.

Neural networks and image recognition applications such as self-driving cars have exploded recently for two reasons. First, Graphical Processing Units (GPU) used to render graphics in mobile phones became powerful and inexpensive. GPUs densely packed onto board-level supercomputers are very good at solving massively parallel neural network problems and are inexpensive enough for every AI researcher and software developer to buy. Second, large, labeled image datasets have become available to train massively parallel neural networks implemented on GPUs to see and perceive the world of objects captured by cameras.

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A video of a fully bendable smartphone with a graphene touch display debuts at a Chinese trade show.

A Chinese company just showed off a fully bendable smartphone with a graphene screen during a trade show at Nanping International Conventional Center in Chongqing. Videos of the incredibly flexible phone are making the rounds, and no wonder, as it looks rather impressive.

It isn’t yet known which company developed the bendable smartphone, and very few details have emerged about it. What we do know is that it weighs 200g, the smartphone can be worn around the wrist, and the screen is fully touch enabled.

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LeEco is known as the “Netflix of China” due to its very popular video streaming service, but the conglomerate also has interests in a much wider range of sectors including smartphones, TVs and electric vehicles.

Ding Lei, LeEco’s auto chief and a former top official at General Motors’ China venture with SAIC Motor, says part of LeEco’s advantage in tomorrow’s auto industry is that it carries no baggage from today’s.

This, the man said, is the future of cars, and the Chinese consumer electronics company LeEco is going to make that future a reality.

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Kurzweil, me and others have been saying devices will eventually be phased out for a while now. However, I do not believe the phase out will be due to AI. I do believe it will be based on how humans will use and adopt NextGen technology. I believe that AI will only be a supporting technology for humans and will be used in conjunction with AR, BMI, etc.

My real question around the phasing out of devices is will we jump from Smartphone directly to BMI or see a migration of Smartphone to AR Contacts & Glasses then eventually BMI?…


(Bloomberg) — Forget personal computer doldrums and waning smartphone demand. Google thinks computers will one day cease being physical devices.

“Looking to the future, the next big step will be for the very concept of the “device to fade away, Google Chief Executive Officer Sundar Pichai wrote Thursday in a letter to shareholders of parent Alphabet Inc. “Over time, the computer itself — whatever its form factor — will be an intelligent assistant helping you through your day.

Instead of online information and activity happening mostly on the rectangular touch screens of smartphones, Pichai sees artificial intelligence powering increasingly formless computers. “We will move from mobile first to an AI first world, he said.

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New requirement if you’re a Smartphone device provider and trying to sell in India.


Starting next year, all mobile phones sold across India must include a panic button, local news outlets are reporting. In addition, by 2018, all cell phones need to come with a built-in GPS chip, so a person in trouble can be more easily found.

“Technology is solely meant to make human life better and what better than using it for the security of women,” communications and IT minister Ravi Shankar Prasad said in a statement, according to The Economic Times. “I have taken a decision that from January 1, 2017, no cell phone can be sold without a provision for panic button and from January 1, 2018, mobile sets should have in-built GPS.”

According to the Times, those with feature phones can press keys 5 and 9 to alert local law enforcement to an emergency under the new policy. On smartphones, vendors will be required to display an “emergency” button. Smartphone makers can also build in a feature that alerts law enforcement once the on/off button is pressed three times in succession.

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Smell what you view.


Practically every product I’ve ever reviewed has had to pass some kind of smell test.

But none more so than Cyrano, a new cylindrical shaped three-inch tall consumer electronics gadget that is being marketed as a “digital scent speaker.” I’ve been sniffing around it for a few days. It is now available in limited quantities on preorder.

What exactly is a digital scent speaker? Think glorified high tech equivalent of an air freshener or candle, only you can more easily switch fragrances or quickly turn smells on or off. And the company behind Cyrano, Cambridge, MA.-based Vapor Communications, has more ambitious aspirations for the product—for use in storytelling, gaming and most importantly, health and wellness.

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Bill Gates on personalized learning, AI in education.


The rise of smartphones has transformed the way students communicate and entertain themselves. But the classrooms they spend so much of their time in remain stubbornly resistant to transformation. On one hand, technology has long had a home in classrooms — I learned to type on an Apple IIe in the late 1980s. But for most schools, the approach to teaching remains stubbornly one-size-fits-all: a single teacher delivering the same message to a group of about 30 students, regardless of their individual progress.

Bill Gates is working to change all that. Through the Bill and Melinda Gates Foundation, Microsoft’s co-founder and chairman has invested more than $240 million to date in a developing field known as “personalized learning.” It’s a diffuse set of initiatives, led mostly by private companies, to develop software that creates individual lesson plans for students based on their performance, coaching them through trouble spots until they have mastered the subject at hand. Teachers still play a central role in the classroom, but they do less lecturing and more one-on-one coaching.

The effort is led by a dizzying array of startups with terrible names — think “Learnosity” — but big companies are starting to pay attention. In 2014 Google launched Classroom, which lets teachers post class announcements, assign work to students, and collect and grade their assignments. And last year Facebook announced a partnership with Summit Public Schools, in which the Gates Foundation is an investor, to create personalized learning software and make it freely available.

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We definitely need precision medicine. If you don’t believe it is worth that; then I have a few widows & widowers who you should speak to; I have parents that you should speak with; I have a list of sisters & brothers that you should speak with; and I have many many friends (including me) that you should speak with about how we miss those we love because things like precision medicine wasn’t available and could have saved their lives.


Precision medicine is the theme for the 10th annual symposium of the Johns Hopkins Institute for Nano Biotechnology, Friday, April 29, 2016 at 9 a.m. in the Owens Auditorium at the School of Medicine. This year’s event is cohosted by Johns Hopkins Individualized Health Initiative (also known as Hopkins in Health) and features several in Health affiliated speakers.

By developing treatments that overcome the limitations of the one-size-fits-all mindset, precision medicine will more effectively prevent and thwart disease. Driven by data provided from sources such as electronic medical records, public health investigations, clinical studies, and from patients themselves through new point-of-care assays, wearable sensors and smartphone apps, precision medicine will become the gold standard of care in the not-so-distant future. Before long, we will be able to treat and also prevent diseases such as diabetes, Alzheimer’s disease, heart disease, and cancer with regimes that are tailor-made for the individual.

Hopkins in Health is a signature initiative of Johns Hopkins University’s $4.5 billion Rising to the Challenge campaign is a collaboration among three institutions: the University, the Johns Hopkins Health System, and the Applied Physics Laboratory. These in Health researchers combine clinical, genetic, lifestyle, and other data sources to create innovative tools intended to improve decision-making in the prevention and treatment of a range of conditions, including cancer, cardiovascular disease, autoimmune disorders, and infectious disease. The goal is to “provide the right care to the right person at the right time.”

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