Lifeboat Foundation

Supercomputers are extremely fast, but also use a lot of power. Neuromorphic computing, which takes our brain as a model to build fast and energy-efficient computers, can offer a viable and much-needed alternative. The technology has a wealth of opportunities, for example in autonomous driving, interpreting medical images, edge AI or long-haul optical communications. Electrical engineer Patty Stabile is a pioneer when it comes to exploring new brain-and biology-inspired computing paradigms. “TU/e combines all it takes to demonstrate the possibilities of photon-based neuromorphic computing for AI applications.”

Patty Stabile, an associate professor in the department of Electrical Engineering, was among the first to enter the emerging field of photonic neuromorphic computing.

“I had been working on a proposal to build photonic digital artificial neurons when in 2017 researchers from MIT published an article describing how they developed a small chip for carrying out the same algebraic operations, but in an analog way. That is when I realized that synapses based on analog technology were the way to go for running artificial intelligence, and I have been hooked on the subject ever since.”

“Re-Architecting” Low Energy Wireless & IoT — Dr. David Su, Ph.D. 0, CEO & Co-Founder, Atmosic

Dr. David Su, Ph.D. (https://atmosic.com/company/leadership/) is CEO and Co-Founder of Atmosic, a fascinating company that is “re-architecting” wireless connectivity solutions from the ground up to radically reduce Internet of Things (IoT) device dependence on batteries, aiming to make batteries last forever and the Internet of Things battery free – thus breaking the power barrier to widespread IoT adoption.

Continue reading “Dr. David Su, Ph.D. — CEO & Co-Founder, Atmosic — ‘Re-Architecting’ Wireless & Internet-Of-Things” »

Musing on living long enough to know.

Do aliens really exist? “It is virtually inconceivable to me that there isn’t intelligence somewhere in the universe,” says psychologist and astrobiologist Dr. Douglas Vakoch. “It’s just numbers.”

Continue reading “Messaging Aliens & Living Long Enough to Get A Response — Douglas Vakoch & METI” »

This Video Explains Hydrolysis of ATP
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Collective dynamics are ubiquitous in the natural world. From neural circuits to animal groups, there are countless instances in which the interactions among large numbers of elementary units bestow surprisingly complex patterns of tantalizing beauty on the collective. One of the longstanding goals of researchers in many fields is to understand behaviors of a large group of individual units by monitoring the actions of a single unit. For example, an ornithologist can learn many things about the behaviors of a flock by monitoring only a single bird.

Of greater difficulty is understanding the size of a collection of units by observing a single unit. No matter how many birds one tags with monitoring equipment, one can never be assured of having tagged the entire flock. Yet, while the ability to calculate the size of a collective from individual behaviors would be a key tool for any field, there are only a handful of recent papers trying to tackle the seemingly unsolvable problem.

In a newly published study appearing in Communications Physics, investigators led by Maurizio Porfiri, Institute Professor of Mechanical and Aerospace Engineering and Biomedical Engineering, and a member of the Center for Urban Science and Progress (CUSP) at the NYU Tandon School of Engineering; and Pietro De Lellis of the University of Naples, Italy, offer a paradigm to solve this problem, one that builds upon precepts that can be traced back to the work of Einstein.

It’s a very good plan for some very good boys and girls.

The U.S. Army’s military working dogs are entering augmented reality, thanks to the service’s investment in a company developing AR goggles for canines.

➡ You love badass military tech. So do we. Let’s nerd out together.

Continue reading “The Army Has Created Augmented Reality Goggles for Dogs” »

Researchers used radiative cooling to generate enough to power LEDs or charge a cell phone.

NASA has agreed to test startup SpinLaunch’s kinetic launcher, a giant circular accelerator that aims to shoot 200 kilogram satellites into space.

The California-based SpinLaunch’s launcher is located at the Spaceport America facility in New Mexico where it will carry out a test flight with NASA later this year, according to the firm.

Continue reading “These Solar Cells Produce Electricity at Night” »

SpinLaunch says it will launch a NASA payload later this year after signing an agreement with the space agency.

A new technique for synthesising and screening molecules developed by Danish researchers has been described in a paper published in Nature Chemistry.

The technique, dubbed “single particle combinatorial lipidic nanocontainer fusion based on DNA-mediated fusion” or SPARCLD, uses tiny soap-like “bubbles” to produce more than 40,000 different molecules on an area the size of a pinhead.

The bubbles form “nano-containers” inside which molecules can be produced using DNA nanotechnology. About 42,000 nano-containers can fit on one square millimetre.