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The 22nd edition of the China Hi-Tech Fair, with more than 3,300 online and offline exhibitors from the mainland and overseas, has put renewed emphasis on the ways innovative technology could help people better adapt to changes caused by the Covid-19 outbreak.


China Hi-Tech Fair, the country’s biggest technology show, features a range of artificial intelligence, smart city and robotic applications.

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Most newly-discovered species are easy to classify. They have features that are very consistent with well-known organisms and they fit neatly into one category or another. Every so often, one comes along that leaves scientists wondering, “What the hell is this thing?” Case in point: Dendrogramma. This new genus represents two species of deep-sea animals that resemble mushrooms but don’t really fit in with any other known animals. As a result, this organism could bring fairly large changes to the phylogenetic tree. The research was conducted by a team of researchers from the University of Copenhagen and the paper was published in PLOS ONE.

The 18 specimens were caught during an expedition in the Bass Strait, between Australia and Tasmania back in 1986. Two samples were dredged up from depths of 400 and 1000 meters. The samples had been fixed and preserved, rendering them unable to undergo genetic analysis. However, the preservation process was not done particularly well, causing them to become bleached and shrunken. They turned brittle over time.

In 1934, theoretical physicist Eugene Wigner proposed a new type of crystal.

If the density of negatively charged electrons could be maintained below a certain level, the subatomic particles could be held in a repeating pattern to create a crystal of electrons; this idea came to be known as a Wigner crystal.

The first time a Wigner crystal was experimentally observed was in 1979, when researchers measured an electron-liquid to electron-crystal phase transition using helium; since then, such crystals have been detected numerous times.

They’ re expanding skills, moving up the corporate ladder, showing awesome productivity and retention rates, and increasingly shoving aside their human counterparts. One multi-tasker bot, from Momentum Machines, can make (and flip) a gourmet hamburger in 10 seconds and could soon replace an entire McDonalds crew. A manufacturing device from Universal Robots doesn’t just solder, paint, screw, glue, and grasp—it builds new parts for itself on the fly when they wear out or bust.

Its is Obvious that the future is smart and only those who out smart these robots will remain relevant. Although it’s Stated that Artificial Intelligence can be disruptive, there are immense benefits Humanity can derive from them. Join my Boss Kelvin Ogba Dafiaghor as he share with the International community the massive benefits of Artificial Intelligence Robots.

As the CEO and Founder of OEC, it’s his vision to Domesticate AI in Africa and this Vision is shared by all who understand that the Future is now and its smart.

While researchers have conducted countless studies exploring the interaction between light waves and bound electron systems, the quantum interactions between free electrons and light have only recently become a topic of interest within the physics community. The observation of free electron-light interactions was facilitated by the discovery of a technique known as photon-induced near-field electron microscopy (PINEM).

Although some experiments using PINEM methods have yielded interesting results, the free-electron interactions observed so far are fairly weak. This is mainly because PINEM methods gather localized and near-field measurements without addressing the velocity mismatch between free electrons and light, which is known to limit the strength of their interaction.

Researchers at Technion–Israel Institute of Technology have recently observed a between free electron waves and , using a hybrid electron microscope they developed. Their observation of coherent electron phase matching, which is also a type of inverse-Cherenkov interaction, demonstrates how the nature of electron wavefunctions can alter electron-light interactions.

The enthusiastic developer of the “GitHub AI Brain-of-Brains” and “GITHUB2VEC” NLP productivity tools. A passionate multi-discipline Aerospace Mechanical Engineer with extensive experience integrating Artificial Intelligence, Hybrid Reinforcement Machine Learning (Hybrid-NEAT), data science and multi-discipline based simulation in Hybrid Reinforcement Learning based Optimization (Hybrid-NEAT), design and analysis of complex air, space and ground-based systems and engineering tool development.