Lifeboat Foundation

Latest on 3D printed Synthetic hair.

Makeup brushes haven’t changed all that much over the last century. Sure, brands have figured out how to create synthetic fibers and played around with handle placement, but otherwise, there hasn’t been a whole lot of innovation, especially compared with the developments we’ve seen in skin care and cosmetics. But that could all change thanks to the creation and testing of 3D-printed hair by researchers at the Massachusetts Institute of Technology’s Tangible Media Group.

3D-printed hair isn’t technically a new innovation; MIT unveiled the first 3D-printed hair about a year ago. What’s new is that since then, the researchers have explored the exciting possibilities of the technology. In a recently released paper, the Tangible Media Group details the creation of its Cillia program, which allows for the 3D printing of both flat and curved surfaces covered in extremely fine, tightly packed, artificial hairs. What’s so cool is just how small they can make the hairs—as tiny as 50 microns across—giving them the ability to create highly dense hairy or furry surfaces that were previously only possible in nature. And because they can get the hair that small, it allows the company to control a whole bunch of things like the length, thickness, and density of each individual hair that’s printed.

Continue reading “3D-Printed Hair Is a Thing and It Could Change the Beauty Industry” »

Anyone who has heard of Bitcoin knows that it is built on a mechanism called The Blockchain. Most of us who follow the topic are also aware that Bitcoin and the blockchain were unveiled—together—in a whitepaper by a mysterious developer, under the pseudonym Satoshi Nakamoto.

That was eight years ago. Bitcoin is still the granddaddy of all blockchain-based networks, and most of the others deal with alternate payment coins of one type or another. Since Bitcoin is king, the others are collectively referred to as ‘Altcoins’.

But the blockchain can power so much more than coins and payments. And so—as you might expect—investors are paying lots of attention to blockchain startups or blockchain integration into existing services. Not just for payments, but for everything under the sun.

Think of Bitcoin as a product and the blockchain as a clever network architecture that enables Bitcoin and a great many future products and institutions to do more things—or to do these things better, cheaper, more robust and more secure than products and institutions built upon legacy architectures.

Continue reading “Is a Blockchain a Blockchain if it Isn’t?” »

The same laser system being developed to blast tiny spacecraft between the stars could also launch human missions to Mars, protect Earth from dangerous asteroids and help get rid of space junk, project leaders say.

Last month, famed physicist Stephen Hawking and other researchers announced Breakthrough Starshot, a $100 million project that aims to build prototype light-propelled “wafersats” that could reach the nearby Alpha Centauri star system just 20 years after launch.

The basic idea behind Breakthrough Starshot has been developed primarily by astrophysicist Philip Lubin of the University of California, Santa Barbara, who has twice received funding from the NASA Innovative Advanced Concepts (NIAC) program to develop the laser propulsion system. [Stephen Hawking Video: ‘Transcending Our Limits’ with Breakthrough Starshot].

Continue reading “Lasers Could Blast Astronauts to Mars, Protect Earth from Asteroids” »

Nice.

/EINPresswire.com/ — SAN JOSE, CA — (Marketwired) — 05/24/16 — UltraMemory Inc. (UltraMemory) has selected NanoSpice™ and NanoSpice Giga™ from ProPlus Design Solutions, Inc., the leading technology provider of giga-scale parallel SPICE simulation, SPICE modeling solutions and Design-for-Yield (DFY) applications, to simulate its super-broadband, super large-scale memory design.

UltraMemory is developing innovative 3D DRAM chip, which includes Through Chip Interface (TCI), enabling low-cost and low-power wireless communication between stacked DARM when compared to TSV technology.

Highly accurate and high-capacity SPICE simulation was necessary because it needed to simulate several DRAM chips with analog functions. UltraMemory’s decision to adopt NanoSpice, a high-performance parallel SPICE simulator, and NanoSpice Giga, the industry’s only GigaSpice simulator, came after an extensive evaluation of commercial SPICE and FastSPICE circuit simulators. NanoSpice and NanoSpice Giga have been integrated in UltraMemory’s existing design flows to replace other SPICE and FastSPICE simulators to provide full circuit simulation solutions from small block simulation to full-chip verification.

Continue reading “UltraMemory Turns to NanoSpice, NanoSpice Giga From ProPlus Design Solutions for Design of Super-Broadband, Large-Scale Memory” »

“We have developed a hydrogel based rapid E. coli detection system that will turn red when E. coli is present,” says Professor Sushanta Mitra, Lassonde School of Engineering. “It will detect the bacteria right at the water source before people start drinking contaminated water.”

The new technology has cut down the time taken to detect E. coli from a few days to just a couple of hours. It is also an inexpensive way to test drinking water (C$3 per test estimated), which is a boon for many developing countries, as much as it is for remote areas of Canada’s North.

“This is a significant improvement over the earlier version of the device, the Mobile Water Kit, that required more steps, handling of liquid chemicals and so on,” says Mitra, Associate Vice-President of Research at York U. “The entire system is developed using a readily available plunger-tube assembly. It’s so user-friendly that even an untrained person can do the test using this kit.”

Visit Singularity Hub for the latest from the frontiers of manufacturing and technology as we bring you coverage of Singularity University’s Exponential Manufacturing conference. Watch all the talks from the first day here and second day here.

The software startup launching out of a garage or a dorm room is now the stuff of legend. We can all name the stories of people who got together in a garage with a few computers and ended up disrupting massive, established corporations — or creating something the world never even knew it wanted.

Continue reading “The Personal Factory Is Here—and It Will Bring a Wild New Era of Invention” »

If you’ve ever seen a “recommended item” on eBay or Amazon that was just what you were looking for (or maybe didn’t know you were looking for), it’s likely the suggestion was powered by a recommendation engine. In a recent interview, Co-founder of machine learning startup Delvv, Inc., Raefer Gabriel, said these applications for recommendation engines and collaborative filtering algorithms are just the beginning of a powerful and broad-reaching technology.

Raefer Gabriel, Delvv, Inc.

Gabriel noted that content discovery on services like Netflix, Pandora, and Spotify are most familiar to people because of the way they seem to “speak” to one’s preferences in movies, games, and music. Their relatively narrow focus of entertainment is a common thread that has made them successful as constrained domains. The challenge lies in developing recommendation engines for unbounded domains, like the internet, where there is more or less unlimited information.

“Some of the more unbounded domains, like web content, have struggled a little bit more to make good use of the technology that’s out there. Because there is so much unbounded information, it is hard to represent well, and to match well with other kinds of things people are considering,” Gabriel said. “Most of the collaborative filtering algorithms are built around some kind of matrix factorization technique and they definitely tend to work better if you bound the domain.”

Continue reading “Recommendation Engines Yielding Stronger Predictions into Our Wants and Needs” »

Hmmm;

The intelligence community’s research arm released its annual solicitation looking for the most innovative ideas the private sector has to offer.

I find this amusing because much of the top US AI talent has worked for many decades in the National Labs and not always in academia. National labs often is a mix of top scientists, engineers as well as academia; not academia only. Granted universities do incubations such a GA Tech, VA Tech, Rensselaer Polytechnic Institute, etc.; however, the bulk of AI and other patented innovations truly have come out of the national labs such as X10, Los Alamos, Argonne, over the years.

The high demand for AI talents at giant corporations This means the academe is directly affected because their smartest AI experts are rapidly transferring to the corporate world and leaving the academe.