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What if a large class of algorithms used today—from the algorithms that help us avoid traffic to the algorithms that identify new drug molecules—worked exponentially faster?

Computer scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a completely new kind of algorithm, one that exponentially speeds up computation by dramatically reducing the number of parallel steps required to reach a solution.

The researchers will present their novel approach at two upcoming conferences: the ACM Symposium on Theory of Computing (STOC), June 25–29 and International Conference on Machine Learning (ICML), July 10 −15.

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Jeanne Louise Calment lived for 122 years and 164 days, the oldest verified age of any person, ever. Her interviews revealed a portrait of the centenarian in high spirits: “I’ve only ever had one wrinkle, and I’m sitting on it,” she told reporters when she turned 110.

Calment died in 1997 in Arles, France, where she spent much of her impressively long life. No one else, according to accurate records, has lived beyond 120 years.

Whether there’s a limit to the human life span is an age-old question. An actuary named Benjamin Gompertz proposed in 1825 that mortality rates accelerate exponentially as we grow older.

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Maryam shanechi, university of southern california.

With recent technological advances, we can now record neural activity from the brain, and manipulate this activity with electrical or optogenetic stimulation in real time. These capabilities have brought the concept of brain-machine interfaces (BMI) closer to clinical viability than ever before. BMIs are systems that monitor and interact with the brain to restore lost function, treat neurological disorders, or enhance human performance.

February 2018

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For something that supposedly takes up 80 percent of the total mass of the universe, we don’t know a whole lot about dark matter. Sometimes the lightless stuff reveals hints about its shape; other times it completely thwarts any evidence supporting its existence. Since we can’t observe it first-hand, we rely on indirect means to suss out information about it, like watching the interactions between other forms of matter. Now, scientists have developed a new “test” to make those investigations more definitive, leading us closer to answering the question: Is dark matter even real? And if it’s not, then is everything we know about gravity wrong?

In a study, published Monday in Physical Review Letters, a team of scientists from the University of Bonn that also includes Hubble Fellow Marcel S. Pawlowski, Ph.D. of the University of California, Irvine, introduce a computer model that can simulate how certain small galaxies should move if dark matter exists. Though dark matter does not absorb or emit light, it still interacts with visible matter through gravity, so it’s expected to make the stars around galaxies move in specific ways.

Pawlowski explains to Inverse in an email that within the little galaxies in question — satellite “dwarf” galaxies, crowding around the edges of big galaxies like the Milky Way — the acceleration of stars speeding around the galaxy’s center is described by a term called the radial acceleration relation, or RAR. “With the new study, we simulate such dwarf galaxies under the assumption of the ‘standard’ dark matter model, [to] determine what kind of behavior would be expected for the dwarfs,” he says. “We find that the simulated dwarf galaxies largely continue the RAR to lower accelerations.” Now that they know how those dwarf galaxies are supposed to move if dark matter exists, they can compare the simulations to real-life data on the movement of those galaxies.

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Apple’s ARKit and Google’s ARCore may have multi-million-user installed bases, but so does Niantic’s Pokémon Go, the first hit augmented reality game. Now Niantic plans to offer its custom AR software to other developers as the Real World Platform, and is teasing advanced features that go beyond the capabilities of Apple’s and Google’s development kits.

Already used in Pokémon GO, Ingress, and Harry Potter: Wizards Unite, the Real World Platform is an evolving software engine that adds digital characters and shared social experiences to real-world map data. Niantic has recently bolstered the AR platform’s development team by acquiring computer vision specialist companies Escher Reality and Matrix Mill, the latter with machine learning expertise.

Matrix Mill’s machine learning will power one of the Real World Platform’s upcoming tricks — a realtime AR occlusion engine. As demonstrated, the feature enables 3D versions of Pikachu and Eevee to disappear behind real world objects and people, even as both the camera and people move. Niantic is using a machine-trained neural network to determine which objects should be considered “foreground” or “background” versus the AR characters.

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Polio was a devastating disease before the development of the polio vaccine. But now, this once-feared virus might help treat another deadly illness — brain cancer.

In a new study, some patients who had an aggressive type of brain cancer called glioblastoma and who received a genetically modified poliovirus lived much longer than typical for these patients.

The study found that about 21 percent of the brain cancer patients who received the poliovirus therapy were alive three years later. In contrast, among a group of previously treated patients who had the same cancer but received standard therapies (such as chemotherapy), just 4 percent were alive after three years.

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I’m excited to share my interview with Jakub Dymek on #transhumanism in the new edition of The Aspen Institute (Eastern Europe) quarterly Aspen Review magazine.

Let’s think about this: what happens when sometime in the future the whole generation of Chinese kids have higher IQs than their American peers, because they’re technologically hardwired for that? Will this be a national security issue? This is a global security issue—says Zoltan Istvan in an interview with Jakub Dymek.

JAKUB DYMEK: You are a transhumanist—member of a movement endorsing technologically augmented advancement of human species and using technology to extend our capabilities. What does transhumanist thinking bring into the world of policy debate in the US and worldwide and how politically influential it is?

ZOLTAN ISTVAN: Transhumanism influences politics today only a little bit. But at the same time, transhumanist movement grows exponentially, like 1000% every year. So I think its implications for the policy debate here in the US and globally will only grow in scale and importance, obviously. Transhumanism can define policy debate of the future, of that I’m sure. President Trump can say today that manufacturing jobs and jobs in general are lost because of immigrants. But he wouldn’t be able to say the same thing up until 2020 campaign, because it’s simply not true, and more people realize the simple fact that jobs aren’t lost to immigration, but automation. It’s tech “stealing the jobs” he is going to have to say then. And you cannot build a wall to stop technology from spreading. This is how transhumanism is already shaping this debate. And it goes beyond jobs.

Continue reading “Zoltan Istvan: It Goes beyond Human” | >

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