A new survey has discovered a fear of frailty likely prevents widespread support of longevity, but if health is combined with years then it could well be a popular option.
Healthy longevity may convince people
According to the new survey, out of 1500 people 74.4% wished to live to 120 or longer if health was guaranteed, but only 57.4% wished to live that long if it wasn’t.
Here’s a brief video explaining how our researchers are using single-cell gene expression to classify cell types in the brain. The research was published online today in Nature Neuroscience.
Researchers from the US will use the funds to create tech for those with spinal cord injuries and other debilitating conditions.
“You like your Tesla, but does your Tesla like you?” My new story for TechCrunch on robots understanding beauty and even whether they like your appearance or not:
Robots are starting to appear everywhere: driving cars, cooking dinners and even as robotic pets.
But people don’t usually give machine intelligence much credence when it comes to judging beauty. That may change with the launch of the world’s first international beauty contest judged exclusively by a robot jury.
The contest, which requires participants to take selfies via a special app and submit them to the contest website, is touting new sophisticated facial recognition algorithms that allow machines to judge beauty in new and improved ways.
The contest intends to have robots analyze the many age-related changes on the human face and evaluate the impact on perception of these changes by people of various ages, races, ethnicities and nationalities.
The combination of human and computer intelligence might be just what we need to solve the “wicked” problems of the world, such as climate change and geopolitical conflict, say researchers from the Human Computation Institute (HCI) and Cornell University.
In an article published in the journal Science, the authors present a new vision of human computation (the science of crowd-powered systems), which pushes beyond traditional limits, and takes on hard problems that until recently have remained out of reach.
Humans surpass machines at many things, ranging from simple pattern recognition to creative abstraction. With the help of computers, these cognitive abilities can be effectively combined into multidimensional collaborative networks that achieve what traditional problem-solving cannot.
Futurism presents its annual This Year in Science immersive experience! This year’s themes include robot intelligence, space exploration, drones, CRISPR (a breakthrough gene editing tool), plus a special ‘Futurist of the Year’ award.
Better cameras, along with more powerful algorithms for computer vision and emotion-sensing facial analysis software, could transform the way we interact with our devices.
By Andrew Moore on December 28, 2015.
This came up recently and it occurred I never posted this here. This is a lecture by Robert Bradbury, not not Ray Bradbury. I had the pleasure of exchanging a few emails with him. Unfortunately those emails are lost so I cannot share them. He was an advocate of life extension and he was a big thinker. I’ll post both vids and a link to the M-brain page. He is not with us anymore I regret to say. Ready?
Renown aging expert Robert Bradbury discusses whole genome engineering, evolution and aging and ways to defeat aging. His talk touches on many areas including nanotechnology, biology, and computer science. More information can be found at http://manhattanbeachproject.com Follow updates at http://twitter.com/maxlifeorg
Death is a disease.
Diseases can and will be cured.
Do the math. wink
Disease GWAS show substantial genetic overlap with longevity. Shown are results for coronary artery disease and Alzheimer’s disease. The y axis is the observed P values for longevity, and the x axis is the expected P values under the null hypothesis that the disease is independent of longevity. The cyan, blue and purple lines show the P values for longevity of the top 100, 250, and 500 disease SNPs from independent genetic loci, respectively. Red lines show the background distribution of longevity P values for all independent genetic loci tested in both the longevity and disease GWAS. The grey horizontal line corresponds to the threshold for nominal significance (P = 0.05) for longevity. Significance of enrichment was determined with the hypergeometric test. (credit: Kristen Fortney et al./PLOS Genetics)
What’s the secret of centenarians who have health and diet habits similar to the average person but have remained active and alert at very old ages?
Genes. That’s according to scientists at Stanford University and the University of Bologna, who have written a new report published in PLOS Genetics, based on their finding of several disease variants that may be absent in centenarians compared to the general population.
Color-coded heatmap of gradient of expression of the M1 gene network, spanning fetal development to late adulthood and expressed in distinct cortical regions (listed on right, such as primary somatosensory cortex, S1C). Most of the genes in this network express in cortical regions (indicated by red), except for the V1C (primary visual cortex), STR (striatum), CBC (cerebellar cortex), and MD (mediodorsal nucleus of thalamus) brain areas. (credit: Michael R. Johnson et al./Nature Neuroscience)
Scientists from Imperial College London have identified two clusters (“gene networks”) of genes that are linked to human intelligence. Called M1 and M3, these gene networks appear to influence cognitive function, which includes memory, attention, processing speed and reasoning.
Importantly, the scientists have discovered that these two networks are likely to be under the control of master regulator switches. The researcher want to identify those switches and see if they can manipulate them, and ultimately find out if this knowledge of gene networks could allow for boosting cognitive function.
