Lifeboat Foundation

Researchers at the Research Center for IT Innovation of Academia Sinica, in Taiwan, have recently developed a novel generative adversarial network (GAN) that has binary neurons at the output layer of the generator. This model, presented in a paper pre-published on arXiv, can directly generate binary-valued predictions at test time.

So far, GAN approaches have achieved remarkable results in modeling continuous distributions. Nonetheless, applying GANs to discrete data has been somewhat challenging so far, particularly due to difficulties in optimizing the model distribution toward the target data distribution in a high-dimensional discrete space.

Hao-Wen Dong, one of the researchers who carried out the study, told Tech Xplore, “I am currently working on music generation in the Music and AI Lab at Academia Sinica. In my opinion, composing can be interpreted as a series of decisions—for instance, regarding the instrumentation, chords and even the exact notes to use. To move toward achieving the grand vision of a solid AI composer, I am particularly interested in whether deep generative models such as GANs are able to make decisions. Therefore, this work examined whether we can train a GAN that uses binary neurons to make binary decisions using backpropagation, the standard training algorithm.”

Continue reading “BinaryGAN: a generative adversarial network with binary neurons” »

Scientists from the Department of Energy’s SLAC National Accelerator Laboratory and the Massachusetts Institute of Technology have demonstrated a surprisingly simple way of flipping a material from one state into another, and then back again, with single flashes of laser light.

Oops…

Pilot study finds plastics in poo samples from eight countries. Nick Carne reports.

Three relatively strong earthquakes that began Sunday night in the Pacific Ocean off Vancouver Island didn’t trigger a tsunami because they happened along a fault line where sections of the Earth’s crust are moving sideways, says an earthquake seismologist with Natural Resources Canada. .

The ACME experiment has released new result showing the “roundness” of the electron, which are touted as a test of fundamental physics theories. How does that work, anyway?

A team of researchers led by Principal Investigator Dr. Jan Gruber from Yale-NUS College has discovered a combination of pharmaceutical drugs that not only increases healthy lifespan in the microscopic worm Caenorhabditis elegans (C. elegans), but also delays the rate of ageing in them, a finding that could someday mean longer, healthier lives for humans.

The study, published in the peer-reviewed international journal Developmental Cell on 8 October 2018, lays crucial groundwork for further research into designing drug combinations that produce the same effect in mammals.

“Many countries in the world, including Singapore, are facing problems related to ageing populations,” said Dr. Gruber, whose lab and research team made the discovery. “If we can find a way to extend healthy lifespan and delay ageing in people, we can counteract the detrimental effects of an ageing population, providing countries not only medical and economic benefits, but also a better quality of life for their people.”

Cancer is the poster child of age-related diseases, and a recent study sheds light on why the risk of cancer rises dramatically as we age.

Abstract

For many cancer types, incidence rises rapidly with age as an apparent power law, supporting the idea that cancer is caused by a gradual accumulation of genetic mutations. Similarly, the incidence of many infectious diseases strongly increases with age. Here, combining data from immunology and epidemiology, we show that many of these dramatic age-related increases in incidence can be modeled based on immune system decline, rather than mutation accumulation. In humans, the thymus atrophies from infancy, resulting in an exponential decline in T cell production with a half-life of ∼16 years, which we use as the basis for a minimal mathematical model of disease incidence. Our model outperforms the power law model with the same number of fitting parameters in describing cancer incidence data across a wide spectrum of different cancers, and provides excellent fits to infectious disease data.

Continue reading “Dr. Sam Palmer – Thymic Involution and Cancer Risk” »

In support of the NAD+ Mouse Project over at Lifespan.io, Dr. David Sinclair will be doing an AMA on Reddit Futurology Tuesday, October 23, 2018 from 11:00 – 12:00 AM EDT. Dr. Sinclair will be answering questions from the community about his work with NAD+ biology, Sirtuins, and why the NAD+ Mouse Project is important for aging research. To ask your question please visit the AMA thread on Reddit Futurology here.

For those not familiar with NAD+ biology we did the NAD+ World series recently which explores this area of the biology of aging. We also took a look at why NAD+ appears to decline as we age and what is one of the most likely reasons for this.

Continue reading “Dr. David Sinclair AMA at Reddit Futurology” »

http://www.veteranonthemove.com/pharmacist-turned-entreprene…or-ep-241/