Lifeboat Foundation

In this study, graduate student Keito Kobayashi and Professor Shunsuke Fukami from Tohoku University, along with Dr. Kerem Camsari from the University of California, Santa Barbara, and their colleagues, developed a near-future heterogeneous version of a probabilistic computer tailored for executing probabilistic algorithms and facile manufacturing.

“Our constructed prototype demonstrated that excellent computational performance can be achieved by driving pseudo random number generators in a deterministic CMOS circuit with physical random numbers generated by a limited number of stochastic nanomagnets,” says Fukami. “Specifically speaking, a limited number of probabilistic bits (p-bits) with a stochastic magnetic tunnel junction (s-MTJ), should be manufacturable with a near-future integration technology.”

The researchers also clarified that the final form of the spintronics probabilistic computer, primarily composed of s-MTJs, will yield a four-order-of-magnitude reduction in area and a three-order-of-magnitude reduction in energy consumption compared to the current CMOS circuits when running probabilistic algorithms.

The findings, published in a study in Developmental Cell, reveal that intestinal smooth muscle originates in embryos and forms by the same process that is a hallmark of creating scar tissue when a wound heals.

The smooth muscle sits inside tiny finger-like projections called villi, which absorb fats—also known as lipids—from foods. Contractions of these smooth muscles squeeze absorbed dietary fats through lymphatic capillaries, called lacteals, which send the fats into the systemic blood circulation to produce energy.

The Beijing Humanoid Robot Innovation Center has unveiled Tiangong, an electrically-driven general-purpose humanoid that’s capable of stable running at 6 km/h, while also able to tackle slopes and stairs in “blind conditions.”

The Beijing Humanoid Robot Innovation Center was set up in November last year as “the first provincial-level humanoid robot innovation center in China,” and is part of a new technology hub that’s home to more than a hundred robotics companies – coming together to form a complete industrial chain for core components, applications development and complete robot builds.

Continue reading “China’s home-grown general-purpose humanoid jogs out at 6 km/h” »

Kurt ‘CyberGuy’ Knutsson joins ‘Fox & Friends’ to discuss the latest evolution in robotic technology from Boston Dynamics and what to expect from Apple’s upcoming ‘Let Loose’ event.

Reflections on a philosopher who believed we can solve the problem of consciousness.

Earth, Mars and Venus all looked pretty similar when they first formed. Today, Mars is dry, cold, and dusty; Venus has a hot, crushing atmosphere. Why did these sibling planets turn out so different?

If humans build settlements on Mars, how will they feed ourselves? Waiting on deliveries from Earth would take too long and costs would be exorbitant, since getting to the Red Planet is currently a nine-month one-way journey. On top of that, dehydrating foodstuff—the best preservation method for perishables sent to space—removes vital nutrients.

More than likely, Martian settlers will need to grow their own food.

Researchers are now exploring how best to optimize crop yield on Mars using intercropping, a technique perfected by Maya farmers centuries ago that involves growing multiple plants in close proximity to one another. Their findings—published this month in the journal Plos One—could not only benefit the pioneers who end up colonizing the Red Planet, but also farmers here on Earth amid a rapidly changing climate.

Take a look at stunning images of Mars shared by NASA.

A team of scientists, astrophysicists and physicists, in an experiment called BICEP2 (Background Imaging of Cosmic Extragalactic Polarisation 2), carried out over nine years at an astronomical observatory at the South Pole, reported that they had discovered undeniable traces of a much sought-after phenomenon in astrophysics: gravitational waves. It was also announced that the method used to make the discovery had provided an important confirmation of the theoretical model of Big Bang cosmology, and would allow the first moments after this primordial explosion—the moment of creation for modern astrophysics—to be studied experimentally.

When you don’t find gravitational waves…

If we imagine space and time as the surface of an ocean, gravitational waves can be thought of as ripples in that ocean. More precisely, gravitational waves are theoretical ripples in space-time, first predicted by Albert Einstein in 1916 on the basis of his general theory of relativity. Like electromagnetic waves, which are produced by the oscillation of an electric charge, it is thought that a sufficiently strong oscillation of a very massive object should produce gravitational waves, which carry energy in the form of gravitational energy.