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Category: computing – Page 1,019

Nanotero raises another $21 million to commercialize nanotube memory

Nantero Inc., the nanotechnology company developing next-generation memory using carbon nanotubes, today announced the closing of an over $21 million financing round. The lead investor in the round was Globespan Capital Partners and also included participation from both new and existing strategic and financial investors. Nantero currently has more than a dozen partners and customers in the consumer electronics, enterprise systems, and semiconductor industries actively working on NRAM®. The new funding will enable the company to support these partners in bringing multiple products into the market, while also enabling new customers to begin development. This financing round brings the total invested in Nantero to date to over $110 million.

“This round enables Nantero to accelerate its pace in product development, especially of its multi-gigabyte DDR4-compatible memory product,” said David Poltack, Managing Director, Globespan Capital Partners. “Nantero has multiple industry-leading customers who would like to receive NRAM even sooner. The fact that several of these customers, as well as key partners in the ecosystem, have decided to also invest in Nantero is a strong sign of confidence given how well they know Nantero and its product from years of working together.”

“The customer traction we’ve achieved at Nantero has been overwhelming, as evidenced by our recent announcement that NRAM had been selected by both Fujitsu Semiconductor and Mie Fujitsu Semiconductor,” said Greg Schmergel, Co-Founder & CEO of Nantero. “With this additional funding, we will be able to help these existing customers speed their time to market while also supporting the many other companies that have approached us about using Nantero NRAM in their next generation products.”

World Economic Forum

Developments in computing are driving the transformation of entire systems of production, management, and governance. In this interview Justine Cassell, Associate Dean, Technology, Strategy and Impact, at the School of Computer Science, Carnegie Mellon University, and co-chair of the Global Future Council on Computing, says we must ensure that these developments benefit all society, not just the wealthy or those participating in the “new economy”.

Why should the world care about the future of computing?

Today computers are in virtually everything we touch, all day long. We still have an image of computers as being rectangular objects either on a desk, or these days in our pockets; but computers are in our cars, they’re in our thermostats, they’re in our refrigerators. In fact, increasingly computers are no longer objects at all, but they suffuse fabric and virtually every other material. Because of that, we really do need to care about what the future of computing holds because it is going to impact our lives all day long.

Evolution’s Brutally Simple Rules Can Make Machines More Creative

Creative Machines; however, are they truly without a built in bias due to their own creator/s?

Despite nature’s bewildering complexity, the driving force behind it is incredibly simple. ‘Survival of the fittest’ is an uncomplicated but brutally effective optimization strategy that has allowed life to solve complex problems, like vision and flight, and colonize the harshest of environments.

Researchers are now trying to harness this optimization process to find solutions to a host of science and engineering problems. The idea of using evolutionary principles in computation dates back to the 1950s, but it wasn’t until the 1960s that the idea really took off. By the 1980s the approach had crossed over from academic curiosities into real-world fields like engineering and economics.

Applying natural selection to computing

Evolutionary algorithms are numerous and diverse, but they all seek to replicate key features of biological evolution, such as natural selection, reproduction and mutation. Typically these methods rely on a kind of trial and error — a large population of potential solutions to a problem are randomly generated and tested against a so-called “fitness function.” This lets the system rank the solutions in order of how well they solve the problem.

Continue reading “Evolution’s Brutally Simple Rules Can Make Machines More Creative” | >

Logic of Signaling

Why Synbio computing is where we ultimately want to more and more progress towards especially once the basic infrastructure is updated with technology like QC.

Cells are often likened to computers, running an operating system that receives signals, processes their input, and responds, according to programming, with cellular output. Yet untangling computer-like pathways in cells is anything but simple, say Denise Montell, professor at the University of California, Santa Barbara, and Aviv Regev, a Howard Hughes Medical Institute investigator at the Massachusetts Institute of Technology and the Broad Institute. However, both are eager to try and will outline their latest efforts at the “Logic of Signaling” symposium at the 2016 ASCB Annual Meeting.

“My lab is understanding how cells maintain and build normal tissues. We’re studying cellular behaviors that underlie normal behavior and tumor metastasis, a great unsolved question in cancer,” Montell said. Her lab recently discovered that cells can bounce back from the brink of apoptotic cell death. “This wasn’t known before so now we’re looking at how cells do it, when do they do it, under what circumstances, and what does it mean,” Montell said.

To track these near-death experiences in cells the Montell lab generated a genetically coded sensor in Drosophila. The researchers expected the mechanism to be a stress response, but they found that it was normal during development. “It makes sense retrospectively,” Montell explained, pointing to neuronal development as an example. “You produce way more neurons that you need, and the neurons compete for trophic factors. If a group of cells are competing for trophic factors, then one cell starts to die, but if it gets more trophic factor, it could bounce back.”

Conroy’s quantum warning: be ready

More folks warning others that you better be planning for a QC transformation as it is coming and is going to be probably the largest scale transformation the we have seen in the history of technology.

Former communications minister, Stephen Conroy has warned that Australian government technology decision makers need to start preparing for the development of quantum computing.

The former senator made the warning during a panel session at the Australian Computer Society’s Reimagination conference late last week. While still in its nascent development stages, the former minister for broadband communications and the digital economy said that it could have major national security implications.

“There’s one other issue that I wanted to put out there that’s coming as a disruptor and that’s quantum computing and how that’s going to affect things like national security and industrial competitiveness,” Mr Conroy said.

17 for ‘17: Microsoft researchers on what to expect in 2017 and 2027

This week we are celebrating Computer Science Education Week around the globe.

In this “age of acceleration,” in which advances in technology and the globalization of business are transforming entire industries and society itself, it’s more critical than ever for everyone to be digitally literate, especially our kids.

This is particularly true for women and girls who, while representing roughly 50 percent of the world’s population, account for less than 20 percent of computer science graduates in 34 OECD countries, according to this report.

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