Lifeboat Foundation

Because of a plethora of data from sensor networks, Internet of Things devices and big data resources combined with a dearth of data scientists to effectively mold that data, we are leaving many important applications – from intelligence to science and workforce management – on the table.

It is a situation the researchers at DARPA want to remedy with a new program called Data-Driven Discovery of Models (D3M). The goal of D3M is to develop algorithms and software to help overcome the data-science expertise gap by facilitating non-experts to construct complex empirical models through automation of large parts of the model-creation process. If successful, researchers using D3M tools will effectively have access to an army of “virtual data scientists,” DARPA stated.

+More on Network World: Feeling jammed? Not like this I bet+

Continue reading “DARPA wants to design an army of ultimate automated data scientists” »

Wait until you see with Dynamics CRM and AX as well as SharePoint, PowerBI, Skype, PowerPont and Excel just to name a few other ones besides what can be done already with Azure and big data.

Checking you email might not be so bad if you’re using AR.

By Emma Boyle

Continue reading “Microsoft Bringing Outlook and Calendar to HoloLens” »

When an astronomical observatory detected two black holes colliding in deep space, scientists celebrated confirmation of Einstein’s prediction of gravitational waves. A team of astrophysicists wondered something else: Had the experiment found the “dark matter” that makes up most of the mass of the universe?

The eight scientists from the Johns Hopkins Henry A. Rowland Department of Physics and Astronomy had already started making calculations when the discovery by the Laser Interferometer Gravitational-Wave Observatory (LIGO) was announced in February. Their results, published recently in Physical Review Letters, unfold as a hypothesis suggesting a solution for an abiding mystery in astrophysics.

“We consider the possibility that the black hole binary detected by LIGO may be a signature of dark matter,” wrote the scientists in their summary, referring to the black hole pair as a “binary.” What follows are five pages of annotated mathematical equations showing how the researchers considered the mass of the two objects LIGO detected as a point of departure, suggesting that these objects could be part of the mysterious substance known to make up about 85 percent of the mass of the universe.

Provided the variants for intelligence can be figured out and the genetic editing tools sufficiently refined (no small matter, in either case), Hsu thinks there’s an incredible potential for improvement. He’s written for the science magazine Nautilus that his calculations from the work at BGI indicate a potential for “very roughly, about 100 standard deviations of improvement, corresponding to an IQ of over 1,000.”

That’s a level of intelligence beyond what we can comprehend right now.

At the same time, we’re not just working on improving biological intelligence. We’re also working on artificial intelligence and machine learning. Smarter humans might be better able to solve those problems, helping us create smarter machines. Smart machines capable of processing big data are already essential for efforts to understand millions of human genomes. These things work together.

Continue reading “We’re about to become more intelligent than at any other point in human history” »

All is promising for Biometrics and biometric informatics; however, the technologies to date leveraged in IoT and other environments for parsing, analysis (especially predictive analysis), as well as better presented needs to be improved to be of value. We have seen great progress in the collection of the information and for some basic identification capabilities it looks good; however, to truly be effective and of value we need a lot more work done in this space especially when you look at today’s landscape of collecting information in areas of IoT and processing/ analysis with big data.

The global biometrics market is projected to cross US $ 24.8 billion by 2021. Fingerprint recognition biometric systems are the most preferred type of biometric systems used across the globe, owing to their ease of use, low cost, high speed and accurate results.

Biometric systems are used across various public as well as private offices for enhancing the security of data and information, as these systems provide an accurate validation as compared to traditional methods such as ID cards, PINs, passwords, etc. Increasing use of biometrics in e-commerce and cloud computing solutions, coupled with initiatives taken by the government of various countries across the world to adopt biometrics systems for identification and verification purposes are some of the major factors driving demand for biometric solutions, globally.

Moreover, introduction of e-passports and e-visas, use of biometrics in criminal identification, increasing demand for smartphones integrated with biometric technologies and implementation of biometric technology in election administration are anticipated to drive the global biometrics market over the next five years.

Continue reading “Global Biometrics Market Worth US$ 24.8 Billion by 2021 — Vein Scanner to Outpace Fingerprint Recognition Biometrics — Research and Markets” »

Agree. So as a tech engineer, futurist, innovator, leader you have 3 key tracks to remain relevant in the future: bio/ living technology, quantum, and a hybrid of living/ bio meets quantum computing.

Editor €™s Note: Richard van Hooijdonk is a futurist and international keynote speaker on future technologies and disruption and how these technologies change our everyday lives. Van Hooijdonk and his international team research €˜mega trends €™ on digital health, robotic surgery, drones, the internet-of-things, 3D/4D printing, Big Data and other how new technologies affects many industries.

With people living increasingly longer lives, medical care from surgeons, physicians, pharmacists and dentists will increase as well. And since the future of healthcare will look very different from what it is today, the medical field may just be the right industry for you, even if being a doctor or nurse is not your calling. Many new technologies will be incorporated into the healthcare industry and we will see things like robotic surgeries and 3D-printed organ implants, to name a few. This means we will be seeing a whole new host of career opportunities, even for jobs that don €™t actually exist yet.

Continue reading “8 Digital Health Jobs of the Future to Watch” »

“With the LinkedIn acquisition, Microsoft snares two prizes: the massive amounts of data contained in LinkedIn’s 433 million member profiles that are kept scrupulously up to date by business professionals and to which competitors have no access and the brainy computer algorithms that crunch that data.” the writeup.

Buying the Facebook of professional networks is perhaps the best illustration yet that the cloud wars are heating up.

A cool experiment — a movie script written by a computer algorithm. It’s actually pretty riveting, but I challenge you to figure out what it’s about, LOL! bigsmile (Y) #AIScreenwriter #WhatDoesItMean

The rise of big data and advances in information technology has serious implications for our ability to deliver sufficient bandwidth to meet the growing demand.

Researchers at the University of the Witwatersrand in Johannesburg, South Africa, and the Council for Scientific and Industrial Research (CSIR) are looking at alternative sources that will be able to take over where traditional optical communications systems are likely to fail in future.

In their latest research, published online today (10 June 2016) in the scientific journal, Scientific Reports, the team from South Africa and Tunisia demonstrate over 100 patterns of light used in an optical communication link, potentially increasing the bandwidth of communication systems by 100 times.