“Deep learning enables the robot to perceive its immediate environment, including the location and movement of its limbs. Reinforcement learning means improving at a task by trial and error. A robot with these two skills could refine its performance based on real-time feedback.”
On January 20th, 2016, researchers Konstantin Batygin and Michael E. Brown of Caltech announced that they had found evidence that hinted at the existence of a massive planet at the edge of the Solar System. Based on mathematical modeling and computer simulations, they predicted that this planet would be a super-Earth, two to four times Earth’s size and 10 times as massive. They also estimated that, given its distance and highly elliptical orbit, it would take 10,000 – 20,000 years to orbit the Sun.
Since that time, many researchers have responded with their own studies about the possible existence of this mysterious “Planet 9”. One of the latest comes from the University of Arizona, where a research team from the Lunar and Planetary Laboratory have indicated that the extreme eccentricity of distant Kuiper Belt Objects (KBOs) might indicate that they crossed paths with a massive planet in the past.
Life’s chemistry, it appears, is quite kludgy. Such computer metaphors help explain Dr. Venter’s perspective on synthetic biology. Is a genomic version of Moore’s Law in the offing?
CRISPR may have burst on the scene as a revolutionary gene editing tool, but it’s proving to be so much more. Tagging the targeting system with a gene silencing component could revolutionise stem cell work and enable a new level of genetic control we’ve never seen before.
A wonder tool
Efficient and accurate, CRISPR may be in the throes of a patent battle but it’s undoubtedly going down in history as a landmark in biological science. There may be other similar systems out there, but CRISPR makes things quick and comparatively cheap — which tends to revolutionise any industry.
This is the first time an artificially intelligent system has topped one of the best at Go. Its victory shows how quickly AI will progress in years to come.
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Science: “Quantum mechanics explains efficiency of photosynthesis” “Energy transfer in light-harvesting macromolecules is assisted by specific vibrational motions of the chromophores,” said Alexandra Olaya-Castro (UCL Physics & Astronomy), supervisor and co-author of the research. “We found that the properties of some of the chromophore vibrations that assist energy transfer during photosynthesis can never be described with classical laws, and moreover, this non-classical behaviour enhances the efficiency of the energy transfer.”
“The negative values in these probability distributions are a manifestation of a truly quantum feature, that is, the coherent exchange of a single quantum of energy,” explained Edward O’Reilly (UCL Physics & Astronomy), first author of the study. “When this happens electronic and vibrational degrees of freedom are jointly and transiently in a superposition of quantum states, a feature that can never be predicted with classical physics.”
Text from video: “Greetings… We are from the future. Everything is going to be alright. The future is a beautiful place … But you will need some training in order to inhabit it.