Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: engineering

Making software immortal; Raytheon is trying to make it a reality.

CAMBRIDGE, Mass., May 2, 2016 /PRNewswire/ — A team led by Raytheon BBN Technologies is developing methods to make mobile applications viable for up to 100 years, despite changes in hardware, operating system upgrades and supporting services. The U.S. Air Force is sponsoring the four-year, $7.8 million contract under the Defense Advanced Research Projects Agency’s Building Resource Adaptive Software Systems program.

“Mobile apps are pervasive in the military, but frequent operating system upgrades, new devices and changing missions and environments require manual software engineering that is expensive and causes unacceptable delays,” said Partha Pal, principal scientist at Raytheon BBN. “We are developing techniques to eliminate these interruptions by identifying the way these changes affect application functionality and modifying the software.”

Read more

Ask an Information Architect, CDO, Data Architect (Enterprise and non-Enterprise) they will tell you they have always known that information/ data is a basic staple like Electricity all along; and glad that folks are finally realizing it. So, the same view that we apply to utilities as core to our infrastructure & survival; we should also apply the same value and view about information. And, in fact, information in some areas can be even more important than electricity when you consider information can launch missals, cure diseases, make you poor or wealthy, take down a government or even a country.

What is information? Is it energy, matter, or something completely different? Although we take this word for granted and without much thought in today’s world of fast Internet and digital media, this was not the case in 1948 when Claude Shannon laid the foundations of information theory. His landmark paper interpreted information in purely mathematical terms, a decision that dematerialized information forever more. Not surprisingly, there are many nowadays that claim — rather unthinkingly — that human consciousness can be expressed as “pure information”, i.e. as something immaterial graced with digital immortality. And yet there is something fundamentally materialistic about information that we often ignore, although it stares us — literally — in the eye: the hardware that makes information happen.

As users we constantly interact with information via a machine of some kind, such as our laptop, smartphone or wearable. As developers or programmers we code via a computer terminal. As computer or network engineers we often have to wade through the sheltering heat of a server farm, or deal with the material properties of optical fibre or copper in our designs. Hardware and software are the fundamental ingredients of our digital world, both necessary not only in engineering information systems but in interacting with them as well. But this status quo is about to be massively disrupted by Artificial Intelligence.

A decade from now the postmillennial youngsters of the late 2020s will find it hard to believe that once upon a time the world was full of computers, smartphones and tablets. And that people had to interact with these machines in order to access information, or build information systems. For them information would be more like electricity: it will always be there, and always available to power whatever you want to do. And this will be possible because artificial intelligence systems will be able to manage information complexity so effectively that it will be possible to deliver the right information at the right person at the right time, almost at an instant. So let’s see what that would mean, and how different it would be from what we have today.

Read more

https://youtube.com/watch?v=EyOuVFQNMLI

Cambridge University spin-out Optalysys has been awarded a $350k grant for a 13-month project from the US Defense Advanced Research Projects Agency (DARPA). The project will see the company advance their research in developing and applying their optical co-processing technology to solving complex mathematical equations. These equations are relevant to large-scale scientific and engineering simulations such as weather prediction and aerodynamics.

The Optalysys technology is extremely energy efficient, using light rather than electricity to perform intensive mathematical calculations. The company aims to provide existing computer systems with massively boosted processing capabilities, with the aim to eventually reach exaFLOP rates (a billion billion calculations per second). The technology operates at a fraction of the energy cost of conventional high-performance computers (HPCs) and has the potential to operate at orders of magnitude faster.

In April 2015 Optalysys announced that they had successfully built a scaleable, lens-less optical processing prototype that can perform mathematical functions. Codenamed Project GALELEO, the device demonstrates that second order derivatives and correlation pattern matching can be performed optically in a scaleable design.

Read more

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.

Read more

Hmmm;

The latest figures are a clear sign that India’s largest outsourcing firms are succeeding at ‘non-linear’ growth, where revenues increase disproportionately compared with hiring.

While the numbers are good news for an industry that is trying to defend profit margins, it raises concerns over the future of hiring and the availability of engineering jobs in a sector that employs over three million people.

“What you’re seeing now is about 200,000 people being hired in the IT industry — it’s not the 4–5 lakhs that they used to hire 10 years ago. And that’s because the growth has shrunk from 35–40% and the competition was for resources. Even now the competition is for resources, but it’s for slightly more experienced resources — people who can work on automation, artificial intelligence, machine languages, data sciences. So, it’s not hiring for Java coding anymore,” said Infosys co-founder Kris Gopalakrishnan in a recent interview.

Read more

Excellent news!!!!!

The Quantum Innovation Center or Qubiz has been launched in Copenhagen with the goal of translating quantum physics into practical quantum technology. The Danish project involves the Niels Bohr Institute at the University of Copenhagen, the Technical University of Denmark DTU, and Aarhus University, along with 18 industrial partners. Qubiz will be building on the very strong Danish research platform within quantum technology, a platform that has its origin in Niels Bohr’s pioneering work 100 years ago.

The CEO for the new Center is Søren Isaksen, who previously served as the CTO of the NKT Group and is a member and chairmen of various research councils. In addition to leading the center, his job will be to reach out to Danish and foreign companies and, with the researchers, to help find out where there is potential for starting new businesses. A 2-year seed funding grant of 11M EUR from the Innovation Fund Denmark enables the hiring of new employees with business and engineering backgrounds, as well as researchers.

According to Isaksen, the Center will engage with existing businesses, Danish as well as international companies, to develop new products and lay the foundation for new businesses. On April 15, Qubiz held a kick-off event that included seven elevator-pitches presenting potential startups—two of these have now being established and more are on the way.

Read more

‘Zero-energy’ buildings — which generate as much power as they consume — are now much closer after a team at Australia’s University of New South Wales achieved the world’s highest efficiency using flexible solar cells that are non-toxic and cheap to make.

Until now, the promise of ‘zero-energy’ buildings been held back by two hurdles: the cost of the thin-film solar cells (used in façades, roofs and windows), and the fact they’re made from scarce, and highly toxic, materials.

That’s about to change: the UNSW team, led by Dr Xiaojing Hao of the Australian Centre for Advanced Photovoltaics at the UNSW School of Photovoltaic and Renewable Energy Engineering, have achieved the world’s highest efficiency rating for a full-sized thin-film solar cell using a competing thin-film technology, known as CZTS.

Read more

Draper’s ChipSat Research Could Make Stamp-Sized Spacecraft Functional for Interstellar Mission

CAMBRIDGE, MA – Chip-sized spacecraft will be beamed about 25 trillion miles to Alpha Centauri within 20 years of launch – a mission that would otherwise take 30,000 years – thanks to an engineering project sponsored by the Breakthrough Starshot team. Since 2010, Draper and Cornell University have collaborated on research into spacecraft that could be reduced to the size of a postage stamp and dubbed “ChipSats.” While ChipSats are small and inexpensive to launch, they face challenges far different from those of larger spacecraft and require a completely different approach to space missions.

Due to their tiny size, ChipSats experience disturbances in space in a different manner from large spacecraft. Much like a dinghy is greatly affected by waves that cannot move an oil tanker, the importance of small environmental forces, such as solar radiation pressure and aerodynamic drag, is magnified for ChipSats. This represents a challenge for completing the journey to Alpha Centauri and pointing precisely to send data back to Earth. But it is also an opportunity for developing new guidance and control approaches that take advantage of the environment.

Read more

Of course bio technology holds the key for better memory.

Newswise — A group of Boise State researchers, led by associate professor of materials science and engineering and associate dean of the College of Innovation and Design Will Hughes, is working toward a better way to store digital information using nucleic acid memory (NAM).

It’s no secret that as a society we generate vast amounts of data each year. So much so that the 30 billion watts of electricity used annually by server farms today is roughly equivalent to the output of 30 nuclear power plants.

And the demand keeps growing. The global flash memory market is predicted to reach $30.2 billion this year, potentially growing to $80.3 billion by 2025. Experts estimate that by 2040, the demand for global memory will exceed the projected supply of silicon (the raw material used to store flash memory). Furthermore, electronic memory is rapidly approaching its fundamental size limits because of the difficulty in storing electrons in small dimensions.

Read more

Tomorrow’s cars will be all-electric, self-driving, connected to high-speed communications networks … and free.

And probably Chinese.

That, at least, is the vision of Jia Yueting, a billionaire entrepreneur and one of a new breed of Chinese who see their technology expertise re-engineering the automobile industry, and usurping Tesla Motors, a U.S. pioneer in premium electric vehicle (EV) making.

“Tesla’s a great company and has taken the global car industry to the EV era,” Jia said in an interview at the Beijing headquarters of his Le Holdings Co, or LeEco. “But we’re not just building a car. We consider the car a smart mobile device on four wheels, essentially no different to a cellphone or tablet.

Read more