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It’s a major initiative, led by Russia’s Ministry of Science and Higher Education, which aims to boost higher education and research programs. The academic leadership program wants the country’s higher education centers to become more attractive to foreign students and scientists. Priority 2030 opened for business this summer, and after several months, over one hundred Russian universities were chosen as participants. All of them would get at least 100 million rubles ($1.4 million) annually for the development of their projects. Dozens of participants also applied for special grants, which provide the opportunity to receive up to 1 billion rubles ($13.6 million) annually.


There is a wide range of areas where artificial intelligence technology may be of use. All of these areas require qualified staff, and educating them is becoming a priority for Russian universities.

Officials with the Danish energy company Ørsted have announced that they have achieved first power on the Hornsea 2 project—a new windfarm off the coast of England in the North Sea. As part of their announcement, posted on the company’s web page, officials noted that once the windfarm is fully operational, it will represent the largest windfarm in the world.

Hornsea 2, as its name implies, is the second segment of a four-segment project. Hornsea 1 became operational last year and is currently the largest offshore —with its 174 turbines, the farm has a capacity of 1.2-GW—enough to power over a million homes in the U.K.

Hornsea 2 was approved for construction back in 2016—it will feature 165 8-MW turbines made by Siemens, which will give it a capacity of 1.32 GW. The offshore substation and reactive stations have been installed and tested while construction continues on the turbines. The windfarm will be located approximately 90 kilometers off the coast of Grims, England, which is not far from Leeds and Sheffield. Once the windfarm is fully operational, it will deliver power to a substation at Killingholme. The project will involve stringing cable under 390 kilometers of ocean water and then 40 kilometers of land before reaching the substation. Hornsea 2 will also be breaking another record—it will be located farther away from shore than any other large-scale windfarm.

How does our biology give rise to the experience of consciousness?
Anil’s new book “Being You” is available now: https://geni.us/anil.
Watch the Q&A: https://youtu.be/JZS39CaODTs.

Anil Seth argues, using innovative combinations of theory and experiment, that our brains are prediction machines inventing our world and correcting our mistakes by the microsecond. Anil’s new perspective on consciousness has shed light on the nature of the self, free will, the intimate relationship between being alive and being aware — and the possibility of conscious machines.

Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex, where he is also Co-Director of the Sackler Centre for Consciousness Science. He is also a Wellcome Trust Engagement Fellow, Co-Director of the Canadian Institute for Advanced Research (CIFAR) Program on Brain, Mind, and Consciousness, and Co-Director of the Leverhulme Doctoral Scholarship Programme: From Sensation and Perception to Awareness.

Up to 90% of patients who undergo open abdominal or pelvic surgery develop postoperative adhesions, or scar tissue. Minimally invasive laparoscopic surgical approaches can reduce the severity of the adhesions, but the scar tissue still forms. The cellular response to injury—even intentional injury, such as surgery to repair a problem—results in a cascade of molecules pouring to the site to heal the tissue. But the molecules, working quickly to close the wound, often go too far and bind the wound to nearby healthy tissue. Depending on the location, the resulting scar tissue can cause chronic pain, bowel obstruction and even death.

There may be a potential solution available soon, according to researchers from Southern Medical University in China. They have developed an that can plug up wounds without sticking to off target , effectively preventing postoperative adhesions.

Their approach, tested in rats and rabbits, was published on Nov. 18 in Advanced Functional Materials.

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Probabilistic modelling

Four major steps are entailed in generating successful probabilistic modelling through the Bean Machine. The modelling is based on generative techniques, the data collected from Python dictionaries where it is associated with random variables. The learning step improves the model’s knowledge based on observations, and the results are stored for further analysis.

Through probabilistic modelling, engineers and data scientists can account for random events in future predictions while measuring different uncertainties. This method is preferred because it offers uncertainty estimation, expressivity, and interpretability facilities. Let’s discuss these.