original research
Inside the sub-zero lair of the world's most powerful computer
It looks like a golden chandelier and contains the coldest place in the universe. What I am looking at is not just the most powerful computer in the world, but technology pivotal to financial security, Bitcoin, government secrets, the world economy and more. Quantum computing holds the key to which companies and countries win - and lose - the rest of the 21st Century. In front of me suspended a metre in the air, in a Google facility in Santa Barbara California, is Willow. Frankly, it was not what I expected.
6 Predictions About AI in Content Marketing - Animalz
But AI can (and will) be used for bigger, more complex parts of content marketing -- particularly SEO. GPT-3 is very good at writing things that are short and creative. Task it with something long and factual, and it struggles: it can't sustain an argument over multiple paragraphs, and it routinely generates made-up information that sounds like fact. But that is less of a problem than it sounds. Most human-written SEO content already has little-to-no narrative, reading more like a wiki page than the New York Times.
Artificial intelligence produces data synthetically to help treat diseases like COVID-19
Data driven technologies and "big data" are revolutionizing many industries. However, in many areas of research--including health and drug development--there is too little data available due to its sensitive nature and the strict protection of individuals. When data are scarce, the conclusions and predictions made by researchers remain uncertain, and the coronavirus outbreak is one of these situations. "When a person gets sick, of course, they want to get the best possible care. Then it would be important to have the best possible methods of personalized healthcare available," says Samuel Kaski, Academy Professor and the Director of the Finnish Center for Artificial Intelligence FCAI.
r/MachineLearning - [D] Getting Started In Original Research, But No Support
So, this post might require a bit of backstory. So, I am a Machine Learning Engineer, working primarily in computer vision for industrial automation with strong interests in RL. I currently work at a government owned R&D organization that works in many areas, from Air Quality to Physical Metallurgy. Currently, I work for the automation lab in the engineering services portion of our organization. I have one deployed system, one more that's finished and going to be deployed in a few months, and beginning work on a third.