Oops! Valentine's Day came and went. In this belated Valentine's Day post, TechBeacon presents five unforgettable articles on AI that we love.

Dr. Cindy Gordon's 2022 Top Musings from her articles to read/reflect upon in 2023. Well it is New Year's eve, December, 31st, and only twelve hours before midnight and I am writing this final article. I decided that I would review all my Forbes articles and rank them based on the number of views, so if you only have ten articles on AI to read in the NY, I hope that these musings will inspire you to advance your knowledge of AI and leadership - as we all have much work to do to build a more sustainable, private and ethical AI world. Even Elon Musk states this is likely a good thing. Read the article and decide for yourself?

I'm sure you've heard about the AI writing programs. There have been reports by authors that they are copying them. The issue here is not how the program is written, it is why the author wants to use these programs. Authors are not used to writing anymore. It is something they have to do, but they usually don't have a real passion for. Writers are not normally tech people; they are creative people who enjoy creating stories and characters, and this is an important point.

The OpenVINO toolkit offers tools and libraries that optimize neural networks by applying various techniques like pruning, quantization, and speed up inference in a hardware-agnostic approach to Intel architectures. Intel released the toolkit's most significant update since its launch, which includes more deep-learning models, device portability, and higher inferencing performance with fewer code changes. We are grateful for your time and hope you enjoyed reading the AI newsletter. If you enjoy the newsletter, please consider subscribing if you haven't yet, or share it with your friends and colleagues -- it is genuinely appreciated. Thank you for joining us!

I explain Artificial Intelligence terms and news to non-experts. Here are the five best HackerNoon articles related to artificial intelligence in February. I hope they will help you learn more about machine learning this year. Note that the five articles you will see were curated by myself amongst hundred of other super interesting ones that you might enjoy even more. So please feel free to look at the AI tag on HackerNoon and keep learning!

The ability to interpret and build on scientific advances depends on our ability to discover those works. If you can't find the information, you won't be able to learn about it or act on it. That's why we're very excited to announce that Radiology: Artificial Intelligence has been included in two important indexing schemes. First, our articles are now searchable in PubMed. The PubMed database contains more than 32 million citations and abstracts of biomedical literature.

My initial is to learn how to build a simple summarizer to be used in my weekly A.I. & ML newsletter so I've decided to start with the Extractive summarization approach.

Usually, every month we write an article about the best and most promising AI research papers from that month. In addition to that, we list fifteen AI articles we have found amazing that month. This collection of articles should give you an overview of what happened that month in the AI industry both from technical, business and from an ethical perspective. Are you afraid that AI might take your job? Make sure you are the one who is building it.

We compiled a list here. See our list of webinars and virtual summits for more online content.

It was 1880's when a great scientist came up with this term and since then a lot of revolutions came in the field which helped the business and the economy to boom. If you believe in the above lines, you are lost. Rome wasn't built in a day, and so is AI. Let's start by discussing the history of Artificial Intelligence. The first patent for the invention of the telephone happened in 1876 and AI was introduced at a much later stage.