It's easy to get cynical about artificial intelligence (AI). China is using facial recognition against the Uighurs. NYT: 'One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority' Google's participating in the development of autonomous weapons. The Intercept: 'Google Continues Investments in Military and Police AI Technology Through Venture Capital Arm' And facial recognition programmes are still struggling to recognise black faces. But last year I also saw another side.

China based Pop Life will work with the developers of Zenerchi in the advancement of consumer and business applications of its physiological simulation and visualization AI platform. This new realm of technology will empower a host of wellness and medical uses that span entertainment, education and exhibition phases. The Zenerchi technology platform has the potential to propel each of these sectors into a new realm of visualization, leveraging and converging the most advanced capabilities of simulation including GUI/UX, AI, VR, AR and 3D technology. These outcomes provide new usages and an entirely new paradigm of technology. Beginning October 2020, the partnership plans to unveil its first public facing technology implementation by producing a series of immersive edutainment exhibition experiences throughout the world.

Elon Musk has been receiving a lot of mail from Germany lately, with government ministers trying to flatter the tech entrepreneur in an effort to promote their states. Almost as soon as the Tesla CEO announced his intention to build a "Gigafactory" in Europe, German state governments began courting Musk like a horde of real estate agents eying a very solvent potential customer. "Lower Saxony," Bernd Althusmann (CDU), the economics minister of that state, wrote, "is one of the world's top regions in the automotive industry." He argued that "trans-European transport routes" cross through it and that the state is leading the way in terms of "electromobility, traffic telematics and autonomous driving." The minister, whose state is home to Volkswagen, said he would be pleased to explain all the advantages "in a personal conversation." Berlin Economics Senator Ramona Pop of the Green Party wrote that the German capital city has "numerous test tracks for autonomous driving" and is the "German hotspot for international companies."

Ryan and Brian have worked together in the tax and accounting software industry together for nearly three years. Brian is going on with nearly six years of experience to bring this knowledge and consultation to every day traders. In crypto currency the world is murky for those that make thousands of transactions on exchanges and within other ecosystems. This experience helps leverage solutions for Vega into an industry that has many possibilities in technology and convenience. Implementing a free tool to users and our community conveys the message we have supported all along as a team which is deliver and deliver again sophisticated useful software.

Debate over the existence versus nonexistence of trends in the stellar activity-rotation diagrams continues. Application of modern time series analysis tools to study the mean cycle periods in chromospheric activity index is lacking. We develop such models, based on Gaussian processes, for one-dimensional time series and apply it to the extended Mount Wilson Ca H&K sample. Our main aim is to study how the previously commonly used assumption of strict harmonicity of the stellar cycles affects the results. We introduce three methods of different complexity, starting with the simple harmonic model and followed by Gaussian Process models with periodic and quasi-periodic covariance functions. We confirm the existence of two populations in the activity-period diagram. We find only one significant trend in the inactive population, namely that the cycle periods get shorter with increasing rotation. This is in contrast with earlier studies, that postulate the existence of trends in both of the populations. In terms of rotation to cycle period ratio, our data is consistent with only two activity branches such that the active branch merges together with the transitional one. The retrieved stellar cycles are uniformly distributed over the R'HK activity index, indicating that the operation of stellar large-scale dynamos carries smoothly over the Vaughan-Preston gap. At around the solar activity index, however, indications of a disruption in the cyclic dynamo action are seen. Our study shows that stellar cycle estimates depend significantly on the model applied. Such model-dependent aspects include the improper treatment of linear trends and too simple assumptions of the noise variance model. Assumption of strict harmonicity can result in the appearance of double cyclicities that seem more likely to be explained by the quasi-periodicity of the cycles.