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Putting a bit of positive spin on Birthdays and why you should probably see them as a good thing in the context of aging research.

Not so long ago, it was my 44th birthday, and I’ve finally decided to write something that I’ve been reflecting on for a while. To some people, a birthday is a cause for celebration; for others, it is viewed as a bad thing.

Yes, if you take the negative view, you could see it as simply a reminder of being another year older and another year closer to the grave. However, this is not how I see it; in fact, I think quite the opposite. I see it as another year closer to our goal: the defeat of age-related diseases due to the progress of rejuvenation biotechnology that offers longer and healthier lives.

From my point of view, viewing birthdays, or, indeed, the passing of time, as a positive or negative thing is largely a question of knowledge and understanding of the aging research field, which ties in with what I want to address today.

Continue reading “Why I Am Future Positive on My Birthday” | >

Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science.


Udacity was born out of a Stanford University experiment in which Sebastian Thrun and Peter Norvig offered their “Introduction to Artificial Intelligence” course online to anyone, for free. Over 160,000 students in more than 190 countries enrolled and not much later, Udacity was born.

Udacity, a pioneer in online education, is building “University by Silicon Valley”, a new type of online university that: – teaches the actual programming skills that industry employers need today; – delivers credentials endorsed by employers, because they built them; – provides education at a fraction of the cost and time of traditional schools.

Continue reading “AI Course with Sebastian Thrun and Peter Norvig: Udacity Course” | >

NASA’s administrator warned that the threat of a meteor crashing into Earth is bigger than we might think.

Jim Bridenstine told the International Academy of Astronautics’ Planetary Defense Conference on Monday that “the reason it’s important for NASA to take this seriously is something you call the ‘giggle factor,’” or scientific theories that seem too ridiculous to be likely.

“We have to make sure that people understand that this is not about Hollywood. It’s not about movies. This is about ultimately protecting the only planet we know right now to host life, and that is the planet Earth,” he added.

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Nowhere is that clearer than in Africa, which has the world’s lowest share of people using the internet, under 25%. The cohort of 800 million offline people spread across the continent’s 54 countries is younger and growing faster than most, but incomes are lower and a larger share of residents live in rural areas that are tough to wire for internet access—or, for that matter, electricity. Now, however, a handful of phone purveyors are trying in greater earnest to nudge internet-ready upgrades into African markets, with models designed with an eye toward rural priorities (first those of rural India, where they’re already hits), rather than battered thirdhand flip phones from the heyday of the Spice Girls.

About half of humanity don’t have internet access, and a lot of those people are in Africa. Enter a $20 device with smartphone brains and a five-day battery.

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According to a theoretical paper published in the Annals of Physics, by Dr. Ovidiu Racorean from the General Direction of Information Technology in Bucharest, Romania, the geometry of spacetime around a rapidly spinning black hole (Kerr black hole) behaves like a quantum computer, and it can encode photons with quantum messages.

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The protocol, dubbed Walk Again Neuro-Rehabilitation (WA-NR), first uses EEG to record and control virtual avatars and robotic exoskeleton walkers while the patient wears a “tactile shirt” that offers them sensory feedback. This stimulation theoretically teaches damaged nerves to reroute their motor functions to healthy ones. Following the program for just three years, the patients—some paralyzed for decades—dramatically regained sensation in their lower limbs. They could feel where their legs were in space and better control their lower limbs. Some even reported feelings of normal, welcomed pain after a sharp jab.

The current study, published in Scientific Reports, takes neurorehab a step further. In two patients from the original cohort, the team further trained and examined their neuro-recovery in detail. Patient P1 was a middle-aged man paralyzed for 4.5 years at the onset of the study; P2, a 32-year-old, had been paralyzed for a decade. Although trained with WA-NR, both patients scored on the low end of overall movement, with the ability to extend their knees at most.

For each training session, the patients wore an EEG cap to measure movement intent and had eight electrodes placed on the skin of each leg to stimulate muscles. Simultaneously they wore a haptic shirt, which gave them a sense of their body in space by stimulating their forearms.

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“Do we have a chance of ever understanding brain function without brain simulations?” So asked the Human Brain Project (HBP), the brainchild of Henry Markram, in a new paper in the prestigious journal Neuron.

The key, the team argued, is to consider brain simulators in the vein of calculus for Newton’s laws—not as specific ideas of how the brain works, but rather as a programming language that can execute many candidate neural models, or programs, now and in the future. When viewed not as a vanity project, but rather as the way forward to understand—and eventually imitate—higher brain functions, the response to brain simulation is a resounding yes.

Because of the brain’s complexity and chaotic nature, the authors argue, rather than reining in simulation efforts, we need to ramp up and develop multiple “brain-simulation engines” with varying levels of detail.

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