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New research confronts the elephant in the room—the ‘trilemma’ of population growth, economic growth and environmental sustainability—and reveals the vast incompatibility of current models of economic development with environmental sustainability.

Using data collected from across the globe, national economies and natural resource use were closely examined by an international team of scientists using a mathematical model.

The results suggest that as long as our economic system retains its current structure, and if continues, both high- and low-income countries will fail to achieve environmental sustainability.

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Science is advancing rapidly, and the field of aging research is no exception. Our understanding of aging has grown a great deal in the last decade, and we are now reaching the point at which the first therapies that target aging are starting to arrive. Unlike the snake oil of previous years, some of these might actually work; today, we are going to have a look at NAD+ repletion, one such promising therapy.

In the near term, nicotinamide adenine dinucleotide (NAD+) is showing potential for addressing some of the aging processes. NAD+ levels decline significantly during aging in both humans and animals, and studies on old mice have shown that restoring NAD+ levels causes them to look and act like younger mice while increasing their lifespan.

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Principles of game theory offer new ways of understanding genetic behavior, a pair of researchers has concluded in a new analysis appearing in the Journal of the Royal Society Interface. Its work opens the possibility of comprehending biological processes, and specifically biochemistry, through a new scientific lens.

The exploration considers signaling , which involves sender and receiver interactions with both seeking payoffs.

“The view of as players in a signaling game effectively animates genes and bestows simple utilities and strategies—thus, unique personalities—on them,” explains Bhubaneswar “Bud” Mishra, a professor at NYU’s Courant Institute of Mathematical Sciences, who co-authored the analysis with Steven Massey, an associate professor at the University of Puerto Rico. “In this view, the genome possesses characteristics of a molecular society, complete with deception, imitation, cooperation, and competition—not unlike human society. This adds a grandeur to a traditional view of life and the interactions it is made up of.”

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As technology advances, prospects for increasing the human life span are seemingly everywhere.

But is there a limit to how long humans can live? According to a new study, published today (June 28) in the journal Science, the answer to that question is no. What’s more, the researchers argue that after age 105, the risk of dying each year remains the same.

In 1825, British actuary Benjamin Gompertz proposed that the risk of dying exponentially increases by age, such that a person at age 70 would be at a much higher risk of dying than a 30-year-old. [Extending Life: 7 Ways to Live Past 100].

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In my life as a human, I see clues that evolution on Earth and elsewhere in the cosmos at large is not being pushed from behind in entropic randomness but being pulled forward by complexification, natural selection and other evolutionary forces orchestrated by a strange unseen teleological attractor, in McKenna’s words “the Transcendental Object” at the end of time. One may see significant overlapping ideas between the transhumanist Technological Singularity and the Teilhardian Omega Point. The coming Technological Singularity could unravel one of the deepest mysteries of fractal hyperreality: consciousness alternating from pluralities to singularities and from singularities back to pluralities. We are already immortal, but the forthcoming Syntellect Emergence when your mind is digitized, will preserve some of your organic memories if you so desire, and most importantly, will ensure the continuity of your subjectivity into the higher realms of existence. #LifeboatFoundation


By Alex Vikoulov.

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“If the doors of perception were cleansed then everything would appear to man as it is, Infinite. For man has closed himself up, till he sees all things through narrow chinks of his cavern” –William Blake.

Students benefit from classes by the leading experts in each subset of AI research. Students learn about techniques like computational reinforcement learning by one of the inventors of the technique (Richard Sutton). The list of over 28 AI experts allows students to develop a deeper intuition about AI techniques from often the people who are at the forefront or have invented a particular AI technique.

Aside from the world-class instruction, AI companies sponsor dinners and rooftop socials meant to facilitate future collaborations among research labs.


The CIFAR deep learning and reinforcement learning school has been training the world’s top AI researchers since 2005. Here we take an insider’s look at the school.

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We have a vacancy for a senior/principal mechanical engineer capable of providing specialist consultancy/mechanical design analysis, research and development support to clients in both space and terrestrial markets.

The role involves leadership of all aspects of multiple mechanism and tribology projects from identification of opportunities and where necessary funding sources, through preparation of winning proposals to execution of the work in-line with cost, schedule and quality requirements.

Working mainly with bespoke, precision mechanical systems, the main purpose of the role is to provide specialist engineering consultancy and research/development support to external clients involved in space and vacuum mechanism development. In addition, the job-holder will be expected to provide conceptual/architectural design and development leadership for in-house devices, new products and test facility developments.

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