Natural language processing rivals humans’ skills.
According to OpenAI, more than 300 applications are using GPT-3, which is part of a field called natural language processing. An average of 4.5 billion words are written per day. Some say the quality of GPT-3’s text is as good as that written by humans.
What follows is GPT-3’s response to topics in general investing.
Do not be afraid of what you see. Even though the robotics industry has been making huge progress lately, it hasn’t quite reached the level you see here.
Fusion reactor technologies are well-positioned to contribute to our future power needs in a safe and sustainable manner. Numerical models can provide researchers with information on the behavior of the fusion plasma, as well as valuable insight on the effectiveness of reactor design and operation. However, to model the large number of plasma interactions requires a number of specialized models that are not fast enough to provide data on reactor design and operation.
Aaron Ho from the Science and Technology of Nuclear Fusion group in the department of Applied Physics at Eindhoven University of Technology has explored the use of machine learning approaches to speed up the numerical simulation of core plasma turbulent transport. Ho defended his thesis on March 17th.
The ultimate goal of research on fusion reactors is to achieve a net power gain in an economically viable manner. To reach this goal, large intricate devices have been constructed, but as these devices become more complex, it becomes increasingly important to adopt a predict-first approach regarding its operation. This reduces operational inefficiencies and protects the device from severe damage.
https://www.youtube.com/watch?v=Ns__YpRneBA&feature=share
After years of trying, 60 Minutes cameras finally get a peek inside the workshop at Boston Dynamics, where robots move in ways once only thought possible in movies. Anderson Cooper reports.
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Huaqiangbei, the world’s largest electronics wholesale market area in the Chinese technology hub of Shenzhen, has become the latest Wonderland for geeks, the way Tokyo’s Akihabara was to otaku during the tech bubble at the turn of the millennium. Amid the warren of closet-sized shops and makeshift stalls, the latest catalogue of smartphones, LED lights, holograms, electronic parts and every type of gadget imaginable compete for attention and the spending yuan of consumers.
Shenzhen has become an international hotspot for the unmanned aerial vehicle industry, following the global success of drone giant DJI.
Mars Incorporated has developed an autonomous robot that will follow shoppers around a grocery store to tempt them with candy before they checkout.
The company working on a militarized version of BD’s Spot. It looks like just a straight copy. Sadly, no FB page, and didn’t see any other robots on there besides this. I think some humanoid robot competition would be helpful.
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Public can try pulling faces to trick the technology, while critics highlight human rights concerns.
While a Mars rover can explore where no person has gone before, a smaller robot at the University of the Sunshine Coast in Australia could climb to new heights by mimicking the movements of a lizard.
Simply named X-4, the university’s climbing robot has allowed a team of researchers to test and replicate how a lizard moves in the hope that their findings will inspire next-generation robotics design for disaster relief, remote surveillance and possibly even space exploration.
In a scientific paper published today in Proceedings of the Royal Society B, the team states that lizards have optimized their movement across difficult terrain over many years of evolution.
Robot swarms have, to date, been constructed from artificial materials. Motile biological constructs have been created from muscle cells grown on precisely shaped scaffolds. However, the exploitation of emergent self-organization and functional plasticity into a self-directed living machine has remained a major challenge. We report here a method for generation of in vitro biological robots from frog (Xenopus laevis) cells. These xenobots exhibit coordinated locomotion via cilia present on their surface. These cilia arise through normal tissue patterning and do not require complicated construction methods or genomic editing, making production amenable to high-throughput projects.
