Lifeboat Foundation: Safeguarding Humanity
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Physicists at EPFL propose a new “quantum simulator”: a laser-based device that can be used to study a wide range of quantum systems. Studying it, the researchers have found that photons can behave like magnetic dipoles at temperatures close to absolute zero, following the laws of quantum mechanics. The simple simulator can be used to better understand the properties of complex materials under such extreme conditions.

When subject to the laws of quantum mechanics, systems made of many interacting particles can display behaviour so complex that its quantitative description defies the capabilities of the most powerful computers in the world. In 1981, the visionary physicist Richard Feynman argued we can simulate such complex behavior using an artificial apparatus governed by the very same quantum laws – what has come to be known as a “.”

One example of a complex quantum system is that of magnets placed at really low temperatures. Close to absolute zero (−273.15 degrees Celsius), may undergo what is known as a “quantum phase transition.” Like a conventional phase transition (e.g. ice melting into water, or water evaporating into steam), the system still switches between two states, except that close to the transition point the system manifests quantum entanglement – the most profound feature predicted by . Studying this phenomenon in real materials is an astoundingly challenging task for .

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A team led by Lida Kanari now reports a new system for distinguishing cell types in the brain, an algorithmic classification method that the researchers say will benefit the entire field of neuroscience. Blue Brain founder Professor Henry Markram says, “For nearly 100 years, scientists have been trying to name cells. They have been describing them in the same way that Darwin described animals and trees. Now, the Blue Brain Project has developed a mathematical algorithm to objectively classify the shapes of the neurons in the brain. This will allow the development of a standardized taxonomy [classification of cells into distinct groups] of all cells in the brain, which will help researchers compare their data in a more reliable manner.”

The team developed an algorithm to distinguish the shapes of the most common type of neuron in the neocortex, the . Pyramidal are distinctively tree-like cells that make up 80 percent of the in the neocortex, and like antennas, collect information from other neurons in the . Basically, they are the redwoods of the brain forest. They are excitatory, sending waves of electrical activity through the network, as people perceive, act, and feel.

The father of modern neuroscience, Ramón y Cajal, first drew pyramidal cells over 100 years ago, observing them under a microscope. Yet up until now, scientists have not reached a consensus on the types of pyramidal neurons. Anatomists have been assigning names and debating the different types for the past century, while neuroscience has been unable to tell for sure which types of neurons are subjectively characterized. Even for visibly distinguishable neurons, there is no common ground to consistently define morphological types.

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There’s an energy revolution happening in villages and towns across Africa — off-grid solar energy is becoming a viable alternative to traditional electricity systems. In a bold talk about a true leapfrog moment, Amar Inamdar introduces us to proud owners of off-grid solar kits — and explains how this technology has the opportunity to meet two extraordinary goals: energy access for all and a low-carbon future. “Every household a proud producer as well as consumer of energy,” Inamdar says. “That’s the democracy of energy.” (Followed by a brief Q&A with TED Curator Chris Anderson)

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We are not calling for a ban on P values. Nor are we saying they cannot be used as a decision criterion in certain specialized applications (such as determining whether a manufacturing process meets some quality-control standard). And we are also not advocating for an anything-goes situation, in which weak evidence suddenly becomes credible. Rather, and in line with many others over the decades, we are calling for a stop to the use of P values in the conventional, dichotomous way — to decide whether a result refutes or supports a scientific hypothesis5.

Valentin Amrhein, Sander Greenland, Blake McShane and more than 800 signatories call for an end to hyped claims and the dismissal of possibly crucial effects.

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Climate change is a sprawling, complex problem. But there is an astonishingly simple way to make a difference: plant more trees. Trees scrub pollution from the air, reduce erosion, improve water quality, provide homes for animals and insects, and enhance our lives in countless other ways.

It turns out that ecosystem restoration is also an emerging business opportunity. A new report from the World Resources Institute and the Nature Conservancy says governments around the world have committed to reviving nearly 400 million acres of wilderness — an area larger than South Africa. As countries push to regrow forests, startups are dreaming up new, faster ways to plant trees. For some innovators, like NASA veteran Dr. Lauren Fletcher, that means using drones.

Fletcher said his conversion from stargazer to eco-warrior was driven by his worry about climate change, which has been dramatically worsened by deforestation. To tackle the problem, he created BioCarbon Engineering, which he describes as an ecosystem restoration company. Working with colleagues, he came up with a 30-pound unmanned aerial vehicle nicknamed “Robin.” It can fly over the most rugged landscapes on earth, planting trees in precise locations at the rate of 120 per minute.

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