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Elon Musk is on the record stating that artificial superintelligence or ASI could bring the end of the human race. Elon has publicly expressed concern about AI many times now. He thinks the advent of a digital superintelligence is the most pressing issue for humanity to get right.

What happens when machines surpass humans in general intelligence? If machine brains surpassed human brains in general intelligence, then this new superintelligence would have undergone an event called the intelligence explosion, likely to occur in the 21st century. It is unknown what, or who this machine-network would become; The issue of superintelligence remains peripheral to mainstream AI research and is mostly discussed by a small group of academics.

Besides Elon Musk, Swedish philosopher Nick Bostrom is also among well known public thinkers who is worried about AI. He lays the foundation for understanding the future of humanity and intelligent life : Now imagine a machine, structurally similar to a brain but with immense hardness and flexibility, designed from the bottom scratch to function as an intelligent agent. Given sufficiently long time, a machine like this could acquire enormous knowledge and skills, surpassing human intellectual capacity in virtually every field. At that point the machine would have become superintelligent. With other words the machine’s intellectual capacities would exceed those of all of humanity put together by a very large margin. This would represent the most radical change in the history of life on earth.

In order to develop a superintelligence that would benefit humanity, the process has to be done in a series of steps with each step being determined before we move to the next one. In fact, it might just be possible to program the AI to help us achieve the things we humans may not be able to do on our own. It is not simply being able to create them and learning how they’ve been commanded, but it is interacting with them and evolving ourselves at the same time. It is learning how to be human after the first ASI.

Moderna is prepping for the global launch of its potential coronavirus vaccine, already taking in $1.1 billion in deposits from governments awaiting the potentially lifesaving drug, the biotech firm said Thursday in its third-quarter earnings report.

The Cambridge, Massachusetts-based company said it was in ongoing talks with the World Health Organization-backed COVAX initiative on a tiered pricing proposal for its potential vaccine, which it’s tentatively calling mRNA-1273. It already has supply agreements in North America, the Middle East and in other regions of the world.

“We are actively preparing for the launch of mRNA-1273 and we have signed a number of supply agreements with governments around the world,” Moderna CEO Stephane Bancel said in a press release. “Moderna is committed to the highest data quality standards and rigorous scientific research as we continue to work with regulators to advance mRNA-1273.”

Madiba & Nature’s ‘ecoboats’ — made out of discarded plastic bottles — are creating jobs, promoting ecotourism and raising awareness of the circular economy.


Africa, like most other parts of the world, is battling a spiraling plastic pollution crisis. In Cameroon, one non-profit company is helping to keep waste plastic out of the ocean while also improving livelihoods and inspiring entrepreneurs in communities across the country.

Madiba & Nature’s ‘ecoboats’ — made out of discarded plastic bottles — are helping fishermen while also creating jobs in the recycling industry, promoting ecotourism and raising awareness of the circular economy.

Earlier this year, the World Economic Forum’s UpLink platform announced that Madiba & Nature was a member of its ‘Ocean Cohort’ — 12 innovations that are tackling the biggest issues facing our seas.

Are you a cutting-edge AI researcher looking for models with clean semantics that can represent the context-specific causal dependencies necessary for causal induction? If so, maybe you should take a look at good old-fashioned probability trees.

Probability trees may have been around for decades, but they have received little attention from the AI and ML community. Until now. “Probability trees are one of the simplest models of causal generative processes,” explains the new DeepMind paper Algorithms for Causal Reasoning in Probability Trees, which the authors say is the first to propose concrete algorithms for causal reasoning in discrete probability trees.

Humans naturally learn to reason in large part through inducing causal relationships from our observations, and we do this remarkably well, cognitive scientists say. Even when the data we perceive is sparse and limited, humans can quickly learn causal structures such as interactions between physical objects, observations of the co-occurrence frequencies between causes and effects, etc.

Marrying two layers of graphene is an easy route to the blissful formation of nanoscale diamond, but sometimes thicker is better.

While it may only take a bit of heat to turn a treated bilayer of the ultrathin material into a cubic lattice of diamane, a bit of in just the right place can convert few-layer graphene as well.

The otherwise chemically driven process is theoretically possible according to scientists at Rice University, who published their most recent thoughts on making high-quality diamane—the 2-D form of diamond—in the journal Small.

Many of the fundamental principles in biology and essentially all pathways regulating development were identified in so-called genetics screens. Originally pioneered in the fruit fly Drosophila and the nematode C. elegans, genetic screens involve inactivation of many genes one by one. By analyzing the consequences of gene loss, scientists can draw conclusions about its function. This way, for example, all genes required for formation of a brain can be identified.

Genetic screens can routinely be carried out in flies and worms. In humans, a wealth of knowledge exists about genetic disorders and the consequences of disease-relevant mutations, but their systematic analysis was impossible. Now, the Knoblich lab at IMBA has developed a groundbreaking technique allowing hundreds of to be analyzed in parallel in . They named the new technology CRISPR-LICHT and published their findings in the journal Science.

By using cerebral organoids, a 3D cell culture model for the human developed in Jürgen Knoblich’s group at IMBA, hundreds of mutations can now be analyzed for their role in the using CRISPR-LICHT.

TOKYO — Unicharm, the world’s third largest diaper maker, will turn used diapers into new ones which will come onto the market in 2022.

The Japanese company plans to introduce more than 10 facilities for diaper-to-diaper recycling by 2030, as it bolsters efforts to reduce waste.

Unicharm will begin demonstration experiments and collect used diapers initially in Tokyo. The pulp will be taken out of the diapers at its recycling facilities and turned into recycled pulp via an ozone sterilization system.